CURRICULUM VITAE

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CHRISTOS A. MADEMLIS
ELECTRICAL ENGINEER, Ph. D.
SCHOOL OF ELECTRICAL AND COMPUTER ENGINEERING
FACULTY OF ENGINEERING
ARISTOTLE UNIVERSITY OF THESSALONIKI
CURRICULUM VITAE
THESSALONIKI, GREECE
MAY 2013
Christos Mademlis / Curriculum Vitae
May 2013
Page 2/37
Name:
Date of birth:
Place of birth:
Nationality:
Marital status:
Home address:
Home address:
1.
Christos A. Mademlis
7 February 1964
Arnea Chalkidikis, Greece
Greek
Married with two children (21 and 11 years old)
Ioannou Kaisarias 8, Thessaloniki, 54 453, Greece. Tel. 0030 2310 942 909
Department of Electrical and Computer Engineering, School of Polytechnics,
Aristotle University of Thessaloniki, 54 124, Greece.
Tel. 0030 2310 996 234, email: mademlis@eng.auth.gr
EDUCATION
1981-1987
Diploma and MSc Degree,
School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle
University of Thessaloniki, Greece.
Grade 9.0/10.0, High Distinction.
Diploma Thesis: “Speed Control of a DC Motor using Phase Locked Loop Method by
Means of a Microprocessor ”.
1994-1997
Ph. D. Degree in Electric Machines,
School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle
University of Thessaloniki, Greece.
Grade A, High Distinction
Dissertation: “Loss Minimization in Synchronous Motor Drives and Study of their
Operational and Thermal Performance”.
2000-2001
Sabbatical leave,
Scottish Power Electronics and Electric Drives Laboratory (SPEED), University of
Glasgow, Glasgow, UK. “Study and Optimal Design of Switched Reluctance and
Synchronous Permanent Magnet Motor Drives” with Prof. T.J.E. Miller.
2
PROFESSIONAL EXPERIENCE
1989
Production and maintenance engineer, IKOTON-Textile, Thermi-Harilaou, Thessaloniki, Greece.
1990
Installation and Customer training of local computer networks using Novell, DataCom North, Thessalonliki, Greece.
1991-2001
Technical assistant, Electrical Machines Laboratory, School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki,
Greece.
2002-2006
Lecturer, School of Electrical and Computer Engineering, Faculty of Engineering,
Aristotle University of Thessaloniki, Greece, Aristotle University of Thessaloniki,
Greece. Field of Expertise: “Electric machines”.
2007-2009
Assistant Professor, School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, Greece. Field of Expertise: “Electric
machines”.
2010 – present
Assistant Professor (tenure position), School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki, Greece. Field of
Expertise: “Electric machines”.
Christos Mademlis / Curriculum Vitae
May 2013
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3
TEACHING EXPERIECE
3.1
Undergraduate courses
1995 - 1996
‘Electric Machines IV’ (Synchronous machines), 9th Semester: Tutorials.
1999
‘Electric Machines I’, (DC-Electric machines), 5th Semester: Tutorials,
‘Electric Machines II’, (Transformers), 6th Semester: Tutorials,
‘Electric Machines III’, (Induction machines), 7th Semester: Tutorials.
2000
‘Power Electronics II’ (DC-DC converters and electric motor drives), 8th Semester:
Lectures,
‘Electric Machines III’, (Induction machines), 8th Semester: Tutorials.
2002 – present
‘Electric Machines A’ (Transformers and DC-Electric machines), 7th Semester: Lectures and Tutorials,
‘Electric Machines B’ (Induction machines), 8th Semester: Lectures and Tutorials,
2008 - present
‘Servomotor System Drives’ (New course in the Department’s Curriculum), 9th Semester: Lectures and Tutorials,.
3.2
Laboratory tutorials
1991-1999 & 2001 Laboratory tutorials in my capacity as Technical Assistant: ‘Electric Machines Ι’,
‘Electric Machines III’ and ‘Electric machines IV’.
2002 – present
Laboratory tutorials in my capacity as Lecturer: ‘Electric Machines A’ and ‘Electric
Machines B’.
2008 – present
Laboratory tutorials in my capacity as Assistant Professor: ‘Servomotor System
Drives’.
3.3
Diploma Theses
Supervision of 33 Diploma Theses (completed) and 8 are in progress.
3.4
Post-graduate courses
2001 – present
3.5
4.
‘Special topics of Electric Machines’.
Ph.D. Dissertations

Mesemanolis A., ‘Efficiency optimization in wind energy conversion systems over a wide range
of wind speeds’, 2010 (in progress)

Karakasisi N., Performance optimization of wind energy systems with doubly-fed induction generators’, 2011 (in progress).

Zampour N., ‘Development of a generic control technique with improved operational characteristics for dc and ac electric machines’, 2013 (in progress).
RESEARCH PROGRAMS
1996 - 1998
“New Techniques for Loss Minimization of Synchronous Motors”. PENED’96,
Funding Source: Ministry of Education and Religious Affairs Greece (8.000.000
Drx).
Responsibility: Researcher.
2000 - 2003
“Switching Frequency Reduction in Pulse-Width Modulated Multilevel Converters
and Systems”. Engineering and Physical Sciences Research Council (EPSRC), UK.
Funding Source: Engineering and Physical Sciences Research Council (EPSRC),
UK (£ 60.050).
Christos Mademlis / Curriculum Vitae
May 2013
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Responsibility: Post-doctoral Researcher.
2005 - 2006
“Performance optimization of Switched Reluctance Machines and design of control
boards”, Research Committee of the Alexander Technological and Educational Institute of Thessaloniki.
Funding Source: Ministry of Industry, Energy, and Technology of Greece (5.000 €).
Responsibility: Researcher.
2006 - 2008
“Improvements in the Computer Engineering Curriculum at the Department of Electrical and Computer Engineering. Action: Virtual laboratory for the design and optimal control of electric machines”, EPEAEK.
Funding Source: Ministry of Industry, Energy, and Technology of Greece
(167.000 €).
Responsibility: Researcher.
2007
“Development of advanced parametric models for ΙΜ machines using the OPERA-3d
software from Vector Fields Ltd.”.
Funding Source: Company Vector Fields Ltd., UK (3.200 €).
Responsibility: Project Leader.
2007
“Development of advanced parametric models for BDC, SRM and PMDC machines
using the OPERA-3d software from Vector Fields Ltd.”,
Funding Source: Company Vector Fields Ltd., UK (3.600 €).
Responsibility: Project Leader.
2010
“Design and implementation of a measuring and testing system for permanent magnet synchronous motors”,
Funding Source: Company Kleemann Hellas S.A. (16.420 €)
Responsibility: Project Leader.
2010 - 2013
“Design and implementation of an integrated control system for wind turbines which
produces increased power through minimization of electric generator losses and extension of the exploitable wind speed region towards the lower wind speeds,
S.M.V.A.A.”, Action: Cooperation’2009, NSRF 2007-2013.
Funding Source: European Regional Development Funds and Greek National Resources - Ministry of Education, Lifelong Learning and Religious Affairs, Greece
(590.330 €).
Partners:
Aristotle University of Thessaloniki, Alexander Technological Education Institute of Thessaloniki and the company Voltampere Energy Ltd.
Responsibilities: Project Leader and Coordinator of the program.
2011 - 2014
“Research and development of energy saving techniques and internet monitoring in
order to design and build an energy efficient eco-mechanical lift fully controlled by
the remote location via the internet and a KERS system (Kinetic Energy Recovery
System) in order to achieve further savings, ΕCO-III”, Action: Cooperation’2009,
NSRF 2007-2013.
Funding Source: European Regional Development Funds and Greek National Resources - Ministry of Education, Lifelong Learning and Religious Affairs, Greece
(575.000 €).
Partners:
Aristotle University of Thessaloniki, Alexander Technological Education Institute of Thessaloniki and the company Doppler S.A..
Responsibility: Project Leader of the partner Aristotle University of Thessaloniki.
2012-2013
“Optimizing closed-loop control systems through neuro-fuzzy logic techniques”, Action C΄- 2011: ‘Reinforcement of Research Activities in Basic Research’.
Funding Source: Research Committee of the Aristotle University of Thessaloniki,
Greece (4.000 €).
Responsibility: Project Leader.
Christos Mademlis / Curriculum Vitae
May 2013
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5.
ACADEMIC COMMUNITY INVOLVEMENT ACTIVITIES
2002 - present
Participation in the General Assemblies of the Department of Electrical Energy and
School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle
University of Thessaloniki.
2002 - present
Participation in Electoral Committees and Advisors Committees for academics promotion.
2002 - 2006
Responsible for the teaching timetable of the School of Electrical and Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki.
2007 - present
Maintenance supervisor for the buildings of the School of Electrical and Computer
Engineering, Faculty of Engineering, Aristotle University of Thessaloniki.
2008 - present
Acting Director of the Laboratory of Electrical Machines, School of Electrical and
Computer Engineering, Faculty of Engineering, Aristotle University of Thessaloniki.
2010 - present
Participation in the Electrical Equipment Delivery Commission of the Faculty of Engineering, Aristotle University of Thessaloniki.
6.
SCIENTIFIC ACTIVITIES - AWARDS
6.1
Reviewer of scientific technical journal and conference papers
Journals
IEEE Transactions on Energy Conversion (since 2002)
IEEE Transactions on Power Delivery (since 2003)
IEEE Transactions on Power Delivery (since 2004)
IEE Proceedings - Electric Power Applications (since 2005)
IEEE Transactions on Industrial Electronics (since 2006)
IEEE Transactions on Industry Applications (since 2006)
IEEE Transactions on Power Electronics (since (2008)
IEEE Power Engineering Letters (since 2008)
Electric Power Systems Research (since 2008)
IEEE Trans. on Magnetics (since 2013)
Conferences
IEEE and IET Conferences: PESC (since 2004), APEC (since 2008), IECON (since
2008), ICIT (since 2009), ISIE (since 2008), CEFC (since 2008), Magnetic-MagCon
(since 2011), MedPower (since 2008), ICEM (since 2006) and ICTA
6.2
Member of Conference Editorial Boards and International Advisory Committees
UPEC 2003, Thessaloniki, Greece
ICEM 2006, Chania, Crete, Greece
MedPower 2008, Thessaloniki, Greece
MedPower 2010, Agia Napa, Cyprus
6.3
Chairman in Sessions of Technical Conferences
ICEM 2006, Chania, Crete, Greece
MedPower 2008, Thessaloniki, Greece
MedPower 2010, Agia Napa, Cyprus
6.4
Distinction
From 2011
IEEE Senior Member
Christos Mademlis / Curriculum Vitae
May 2013
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7.
MEMBER OF PROFESSIONAL AND SCIENTIFIC ASSOCIATIONS



8.
Since 1987, member of the Technical Chamber of Greece.
Since 1987, member of Hellenic Association of Mechanical and Electrical Engineers and Association of Electrical Engineers of Northern Greece.
Since 1998, member of Institute of Electrical and Electronics Engineering (IEEE).
RESEARCH INTERSTS
My primary research activities are in the areas of
- design and analysis of electric machines,
- power electronic converters,
- design and modeling of electric machine drives,
- loss minimization control for electric machine drives,
- control and design optimization of electric motors and generators, and
- energy conversion systems for renewable sources (wind energy and photovoltaic systems)
9.
PUBLICATIONS
9.1
Book
[B-1]
9.2
9.3
Lectures Notes
[N-1]
“Electric Machines Magnetic Circuits and Electromechanical Energy Conversion”, Notes
for the course Electric Machines A΄. Aristotle University of Thessaloniki, 88 pages, Thessaloniki, Greece 2005 (in Greek).
[N-2]
“Single-phase Motors”, Notes for the course Electric Machines B΄. Aristotle University of
Thessaloniki, 50 pages, Thessaloniki, Greece 2004 (in Greek).
Ph.D. Dissertation
[D-1]
9.4
“Servomotor System Drives (Induction motors and permanent magnet motor drives)”, Edition Tziolas, 567 pages, Thessaloniki, Greece 2010 (in Greek).
“Loss Minimization in Synchronous Motors and Study of their Operational and Thermal
Performance”. Aristotle University of Thessaloniki, 164 pages, Thessaloniki, Greece,
1997.
Refereed journal papers
[J-1]
Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Wound-Field Cylindrical Rotor Synchronous Motor Drives”. IEEE Trans. on Power Electronics, vol. 13, no.
2, pp. 288 - 296, March 1998.
[J-2]
Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Surface Permanent
Magnet Synchronous Motor Drives”. IEEE Trans. on Industrial Electronics, vol. 47, no.
1, pp. 115-122, Feb. 2000.
[J-3]
Mademlis C., Margaris N., and Xypteras J. “Magnetic and Thermal Performance of a
Synchronous Motor under Loss Minimization Control”. IEEE Trans. on Energy Conversion, vol. 15, no. 2, pp. 135-142, June 2000.
[J-4]
Mademlis C. and Agelidis V.G., “On Considering Magnetic Saturation with Maximum
Torque to Current Control in Interior Permanent Magnet Synchronous Motor Drives”,
IEEE Trans. on Energy Conversion, vol.16, no. 3, pp. 246-252, Sept. 2001.
-------------------------- Elected as Lecturer ----------------------Christos Mademlis / Curriculum Vitae
May 2013
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[J-5]
Agelidis V.G. and Mademlis C., “Technology of Offshore Wind Turbines and Farms and
Novel Multilevel Converter-Based HVDC Systems for their Grid Connections”, Wind Engineering, vol. 26, no. 6, pp. 383-395, Nov. 2002, (Invited paper).
[J-6]
Mademlis C. and Margaris N., “Loss Minimization in Vector Controlled Interior Permanent Magnet Synchronous Motor Drives”, IEEE Trans. on Industrial Electronics, vol. 49,
no. 6, pp. 1344-1347, Dec. 2002.
[J-7]
Mademlis C., “Compensation of Magnetic Saturation in Maximum Torque to Current
Vector Controlled Synchronous Reluctance Motor Drives”, IEEE Trans. on Energy Conversion, vol. 18, no. 3, pp. 379-385, Sept. 2003.
[J-8]
Kioskeridis I. and Mademlis C., “Energy Efficiency Optimization in Synchronous Reluctance Motor Drives”, IEE Proc. – Electric Power Applications, vol. 150, no. 2, pp. 201209, March 2003.
[J-9]
Mademlis C. and Kioskeridis I., “Performance Optimization in Switched Reluctance Motor Drives with On-line Commutation Angle Control”, IEEE Trans. on Energy Conversion, vol. 18, no. 3, pp. 448-457, Sept. 2003.
[J-10] Mademlis C., Kioskeridis I., and Margaris N., “Optimal Efficiency Control Strategy for
Interior Permanent Magnet Synchronous Motor Drives”, IEEE Trans. on Energy Conversion, vol. 19, no. 4, pp. 715-723, Dec. 2004.
[J-11] Mademlis C., Kioskeridis I., and Theodoulidis T., “Optimization of Single-Phase Induction Motors, Part I: Maximum Energy Efficiency Control”, IEEE Trans. on Energy Conversion, vol. 20, no. 1, pp. 187-195, March 2005.
[J-12] Mademlis C., Theodoulidis T., and Kioskeridis I., “Optimization of Single-Phase Induction Motors, Part II: Magnetic and Torque Performance under Optimal Control”, IEEE
Trans. on Energy Conversion, vol. 20, no. 1, pp. 196-203, March 2005.
[J-13] Mademlis C. and Kioskeridis I., “Optimizing Performance in Current Controlled
Switched Reluctance Generators”, IEEE Trans. on Energy Conversion, vol. 20, no. 3, pp.
556-565, Sept. 2005.
[J-14] Kioskeridis I. and Mademlis C., “Maximum Efficiency in Single-Pulse Controlled
Switched Reluctance Motor Drives”, IEEE Trans. on Energy Conversion, vol. 20, no. 4,
pp. 809-817, Dec. 2005.
-------------------------- Elected as Assistant Professor ----------------------[J-15] Kioskeridis I. and Mademlis C., “Optimal Efficiency Control of Switched Reluctance
Generators”, IEEE Trans. on Power Electronics, vol. 21, no. 4, pp. 1062-1072, July 2006.
[J-16] Kioskeridis I. and Mademlis C., “A Unified Approach for Four-Quadrant Optimal Controlled Switched Reluctance Machine Drives with Smooth Transition between Control
Operations”, IEEE Trans. on Power Electronics, vol. 24, no. 1, pp. 301-306, Jan. 2009.
[J-17] Mademlis C. and Kioskeridis I., “Gain Scheduling Regulator for High Performance Position Control of Switched Reluctance Motor Drives”, IEEE Trans. on Industrial Electronics, vol. 57, no. 9, pp. 2922-2931, Sept. 2010.
[J-18] Mesemanolis A., Mademlis C., and Kioskeridis I., “High-Efficiency Control for a Wind
Energy Conversion System With Induction Generator”, IEEE Trans. on Energy Conversion, 2012, vol. 27, no. 4, pp. 958-967, Dec. 2012.
9.5
Refereed conference papers
[C-1]
Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Synchronous Motors”,
Proceedings of IEEE International Symposium of Industrial Electronics, ISIE’95, vol. 1,
pp. 297-302, Athens 1995.
[C-2]
Mademlis C., Xypteras J., and Margaris N. “Calculation and Minimization of Synchronous Motor Power Losses”, Workshop in Contemporary Problems in Power Engineering,
Christos Mademlis / Curriculum Vitae
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pp. 153-168, Thessaloniki 1995.
[C-3]
Mademlis C., Xypteras J., and Margaris N. “Magnetic and Thermal Analysis of a WoundField Cylindrical Rotor Synchronous Motor in Optimal Efficiency Operation” Proceedings of International Conference on Electrical Machines, ICEM’98, vol. 1, pp. 187-192,
Istanbul 1998.
-------------------------- Elected as Lecturer ----------------------[C-4]
Mademlis C. and Agelidis V. “A High-Performance Vector Controlled Interior PM Synchronous Motor Drive with Extended Speed Range Capability”, 27th Annual Conference
of IEEE Industrial Electronics Society, IECON’01, Denver Colorado, pp. 1475-1482,
Nov. 2001.
[C-5]
Mademlis C. and Kioskeridis Ι. “Optimal Control in Switched Reluctance Motor Drives”
IEE International Conference MedPower 2002, Athens, Greece, Nov. 2002.
[C-6]
Mademlis C. and Agelidis V. “Wide Speed Operation of Synchronous Reluctance Motor
Drives with a High-Performance Current Regulation Control Scheme” IEE Intern. Conf.
MedPower 2002, Athens, Greece, Nov. 2002.
[C-7]
Agelidis V. and Mademlis C., “Offshore Wind Turbines, Associated Drive Technology
and Novel Multilevel Converter-Based HVDC Grid Connections” IEE Intern. Conf.
MedPower 2002, Athens, Greece, Nov. 2002.
[C-8]
Theodoulidis T. and Mademlis C., “Study on Efficiency Improvement of Single-Phase
Induction Motors”, 38th International Univ. Power Eng. Conference, UPEC 2003, vol. 1,
pp. 45-48, Thessaloniki, Greece, Sept. 2003.
[C-9]
Mademlis C. and Michaelides A., “Magnetic Performance of a Single Phase Induction
Motor under Triac-based Voltage Control”, 8th WSEAS Trans. on Circuits and Systems,
International Conference, vol. 3, no. 5, pp. 1240-1245, Athens, Greece, July 2004.
-------------------------- Elected as Assistant Professor ----------------------[C-10] Mademlis C. and Kioskeridis I., “Calculation of the Optimal Fire Angles in Single-Pulse
Controlled Switched Reluctance Generator Drives”, Intern. Conf.on Electrical Machines,
ICEM’06, Chania, Greece, Sept. 2006.
[C-11] Michaelides A. M. and Mademlis C., “Dynamic Performance Analysis on Switched Reluctance Motors and Iron Loss Calculation using the Finite Element Method”, Intern.
Conf. on Electrical Machines, ICEM’06, Chania, Greece, Sept. 2006.
[C-12] Mademlis C. and Kioskeridis I., “Smooth Transition between Optimal Control Modes in
Switched Reluctance Motoring and Generating Operation”, Intern. Conf. on Power Systems Transients, IPST’07, Lyon, France, June 2007.
[C-13] Mademlis C. and Kioskeridis I., “High Performance Position Control for Switched Reluctance Motor Drives with the Average Torque Control Method” Intern. Conf. CEFC’2008,
Athens, Greece, pp. 179, May 2008.
[C-14] Mademlis C. and Kioskeridis I., “Four-Quadrant Smooth Torque Controlled Switched
Reluctance Machine Drives”, Intern. Conf. PESC’08, Rhodos, Greece, pp. 1216-1222,
June 2008.
[C-15] Papadopoulos K. G., Mademlis C., Michaelides A. M., Riley C. P., and Coenen I., “Advanced Parametric Environment for Electrical Machines Design Optimization”, Intern.
Conf. ICEM’2008, Vilamoura, Portugal, Sept. 2008.
[C-16] Mademlis C. and Kioskeridis I., “A Fine-Tuning Regulator for High Performance Control
of Switched Reluctance Motor Drives”, Intern. Conf. MedPower’2008, Thessaloniki,
Greece, Nov. 2008.
[C-17] Mademlis C. and Kioskeridis I., “Position Control of Switched Reluctance Motors by using an Online Fine-Tuning Regulator”, Intern. Conf. Electromotion’2009, Lily, France,
July 2009.
Christos Mademlis / Curriculum Vitae
May 2013
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[C-18] Mademlis C. and Kioskeridis I., “Control Design for Maximum Efficiency of a Variable
Speed Wind Energy Conversion System”, Intern. Conf. DISTRES’2009, Nicosia, Cyprus,
Dec. 2009.
[C-19] Mesemanolis A., Mademlis C., Kioskeridis I., “Maximum Efficiency of a Wind Energy
Conversion System with a PM Synchronous Generator”, Intern. Conf. MedPower’2010,
Agia Napa, Cyprus, Nov. 2010.
[C-20] Mesemanolis A., Mademlis C., Kioskeridis I., “Maximum Electrical Energy Production
of a Variable Speed Wind Energy Conversion System”, 21th IEEE Intern. Symp. on Industrial Electronics ISIE 2012, Hangzhou, China, May 2012.
[C-21] Karakasis N., Mesemanolis A. and Mademlis C., “Performance Study of Start-up Control
Techniques in a a Wind Energy Conversion System with Induction Generator”, Intern.
Conf. Speedam’2012, Sorrento, Italy, June 2012.
[C-22] Mesemanolis A., Mademlis C., Kioskeridis I., “A Fuzzy-Logic Based Control Strategy
for Maximum Efficiency of a Wind Energy Conversion System”, Intern. Conf.
Speedam’2012, Sorrento, Italy, June 2012.
[C-23] Karakasis N., Mesemanolis A. and Mademlis C., “Wind Turbine Simulator for Laboratory Testing of a Wind Energy Conversion Drive Train”, Intern. Conf. MedPower’2012,
Cagliari, Italy, Sept. 2012.
[C-24] Mesemanolis A. and Mademlis C., “A Neural Network Based MPPT Controller for Variable Speed Wind Energy Conversion Systems”, Intern. Conf. MedPower’2012, Cagliari,
Italy, Sept. 2012.
[C-25] Mesemanolis A. and Mademlis C., “On-line estimation of induction generator parameters
using adaptive neuro-fuzzy inference systems for wind energy conversion systems”, Intern. Conf. on Renewable Energies and Power Quality ICREPQ’13, Bilbao, Spain, March
2013.
[C-26] Mesemanolis A., Mademlis C., and Kioskeridis I., “Wind Speed Sensorless Maximum
Efficiency Control for Wind Energy Conversion Systems”, Intern. Conf. WindPower
AWEA’2013, Chicago, USA, May 2013.
[C-27] Mesemanolis A. and Mademlis C., “Self-Tuning Maximum Power Point Tracking Control for Wind Generation Systems”, Inter. Conf. Clean Electrical Power, ICCEP’2013,
Alghero, Italy, June 2013 (accepted).
[C-28] Mesemanolis A., Mademlis C. and Kioskeridis I., “Copper Loss Minimization in Combination with MPPT Control in a Wind Energy Conversion System with Induction Generator”, Inter. Conf. Clean Electrical Power, ICCEP’2013, Alghero, Italy, June 2013 (accepted).
9.6
Papers in Greek conferences
[Η-1]
Margaris N., Mademlis C., and Kioskeridis I., “Improved control techniques for variable
speed electric motor drives’, Workshop in Power Electronics, Electric Motion Systems
and Industrial Applications, TEE, Athens, April 2006.
[Η-2]
Mesemanolis A., Mitrosilis M., and Mademlis C., “Complete system for measurements
and testing of electric machines” 4th Metrology National Conference, Athens, Feb. 2012.
10.
CITATIONS (without self-citations, totally 308 citations)

Search source ISI (163 citations)
1.
2.
Yang, YP; Wang, JP; Wu, SW; Luh, YP, ‘Title: Design and control of axial-flux brushless DC wheel motors for
electric vehicles - Part II: Optimal current waveforms and performance test’, IEEE TRANSACTIONS ON
MAGNETICS, 40 (4): 1883-1891 Part 1 JUL 2004 [J-1]
Yang, YP; Luh, YP; Pan, YG, ‘Determination of the phase current waveform for a disc-type axial-flux wheel
motor’, ASIAN JOURNAL OF CONTROL, 5 (2): 287-292 JUN 2003 [J-1]
Christos Mademlis / Curriculum Vitae
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23.
Mimouni, MF; Dhifaoui, R, ‘Modelling and simulation of a double-star induction machine vector control using
copper-losses minimization and parameters estimation’, INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 16 (9): 653-680 NOV 2002 [J-1]
Yang, YP; Luh, YP; Lee, CM, A novel design of optimal phase current waveform for an electric vehicle wheel
motor’, ELECTRIC POWER COMPONENTS AND SYSTEMS, 30 (7): 705-721 JUL 2002 [J-1]
Senjyu, T; Shingaki, T; Omoda, A; Uezato, K, ‘High efficiency drives for synchronous reluctance motors using
neural network’, IECON 2000: 26th Annual Conference of the IEEE-Industrial-Electronics-Society, OCT. 2000,
NAGOYA, JAPAN [J-1]
Stumper, Jean-Francois; Doetlinger, Alexander; Kennel, Ralph, ‘Classical Model Predictive Control of a Permanent Magnet Synchronous Motor, EPE JOURNAL, vol. 22, no. 3, pp. 24-31, July-Sep. 2012, [J-2]
Aubry, Judicael; Ben Ahmed, Hamid; Multon, Bernard, ‘Sizing Optimization Methodology of a Surface Permanent Magnet Machine-Converter System Over a Torque-Speed Operating Profile: Application to a Wave Energy
Converter’, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 59, no.5, pp. 2116-2125, May
2012, [J-2]
Sim, Kyuho; Kim, Tae Ho , ‘Thermohydrodynamic analysis of bump-type gas foil bearings using bump thermal
contact and inlet flow mixing models’, TRIBOLOGY INTERNATIONAL vol. 48, Special Issue: SI, pp. 137148, Apr 2012 , [J-2]
Phi Hung Nguyen; Hoang, Emmanuel; Gabsi, Mohamed, ‘Performance Synthesis of Permanent-Magnet Synchronous Machines During the Driving Cycle of a Hybrid Electric Vehicle’, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 60, no. 5 Pages: 1991-1998, Jun 2011, [J-2]
Stumper, Jean-Francois; Doetlinger, Alexander; Jung, Janos; et al., ‘Predictive Control of a Permanent Magnet
Synchronous Machine based on Real-Time Dynamic Optimization’, 14th European Conference on Power Electronics and Applications (EPE)/ECCE, Birmingham, ENGLAND, Aug 2011, [J-2]
Kosaka, Takashi; Sridharbabu, Muthubabu; Yamamoto, Masayoshi; et al., ‘Design Studies on Hybrid Excitation
Motor for Main Spindle Drive in Machine Tools’, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,
vol. 57, no. 11, pp. 3807-3813, Nov 2010, [J-2]
Shinnaka. S, ‘New Structures of Vector Control Systems for Permanent Magnet Synchronous Motors with Core
Loss’, ELECTRICAL ENGINEERING IN JAPAN, 170 (3): 28-39 FEB 2010 [J-2]
Sergaki. ES, Georgilakis. PS, Kladas, AG, Stavrakakis. GS, ‘Fuzzy Logic Based Online Electromagnetic Loss
Minimization of Permanent Magnet Synchronous Motor Drives’, ICEM 2008 International Conference on Electrical Machines, Vol. 1- 4: 1601-1607, SEP 2008, Vilamoura, PORTUGAL [J-2]
Lee J., Nam K., Choi S., Kwon, S., ‘Title: A lookup table based loss minimizing control for FCEV permanent
magnet synchronous motors’, 2007 IEEE Vehicle Power and Propulsion Conference (VPPC), Vol. 1 - 2: 175179, 2007. Arlington, TX [J-2]
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Electronics and Drive Systems, pp. 476-481 [J-6]
228. Solomon, O., Famouri, P., ‘Control and efficiency optimization strategy for permanent magnet brushless AC
motors’, 2009, IEEE International Symposium on Industrial Electronics, pp. 505-512 [J-6]
229. Ahmed, T., Nishida, K., Nakaoka, M., 'MPPT control algorithm for grid integration of variable speed wind energy conversion system’, 2009, IECON Proceedings (Industrial Electronics Conference), pp. 645-650 [J-6]
230. Tsambouris, E.M., Kladas, A.G., ‘Efficiency optimization considerations for standard induction motor fed’, 8th
International Symposium on Advanced Electromechanical Motion Systems and Electric Drives Joint Symposium, ELECTROMOTION 2009 [J-6]
231 Botan, C., Ratoi, M., Ostafi, F., Horga, V., ‘Optimal control of a servo drive system with a PMSM’, International Symposium on Signals, Circuits and Systems, ISSCS 2009 [J-6]
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234. Molavi, R., Khaboori, D.A., Shariatmadar, M., ‘Numerical optimal vector control for torque control of interior
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235. Ziwen, S., Guochao, Y., Zhicheng, J., ‘Simulation modeling research of permanent magnet synchronous motor
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236. Meyer, M., Grote, T., Böcker, J., ‘Direct torque control for interior permanent magnet synchronous motors with
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237. Singh, B., Singh, B.P., Dwivedi, S., ‘DSP based implementation of sliding mode speed controller for vector controlled permanent magnet synchronous motor drive’, (2006) Proceedings of India International Conference on
Power Electronics, IICPE 2006, pp. 22-27 [J-6]
238. Fodorean, D., Djerdir, A., Viorel, I.-A., Miraoui, A., ‘Improved efficiency for an in-wheel motor in large speed
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239. Ojo, O., Wu, Z., ‘A speed control of an interior permanent magnet motor drive ensuring minimum electrical
loss’, (2005) IEEE International Conference on Electric Machines and Drives, pp. 1045-1052 [J-6]
240. Kiyoumarsi, A., Moallem, M., ‘Optimal shape design of interior permanent-magnet synchronous motor’, (2005)
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241. Li, C.-H., Chen, M.-J., Wu, X.-Y., ‘Study of a maximum ratio of torque to current control method for PMSM’,
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242. Sue, S.-M., Pan, C.-T., ‘A novel torque control strategy for IPMSM drives’, (2004) Journal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung KuoTien Chi
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243. Qu, Z., Tuovinen, T., Hinkkanen, M., ‘Inclusion of magnetic saturation in dynamic models of synchronous reluctance motors’, 20th International Conference on Electrical Machines, ICEM 2012, pp. 994-1000 [J-7]
244. Radwan, T.S., Uddin, M.N., Rashad, E.M., Rahman, M.A., ‘Fuzzy-logic-based controller for synchronous reluctance motor’, (2004) Canadian Conference on Electrical and Computer Engineering, 3, pp. 1731-1735 [J-7]
245. Jahangiri, T., Feyzi, M.R., Sharifian, M.B.B., ‘Finite element analysis of switched reluctance motor be control of
firing angles for torque ripple minimization’, 2011, Australian Journal of Basic and Applied Sciences 5 (9) , pp.
1391-1402 [J-9]
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246. Yahia, H., Mimouni, M.F., Dhifaoui, R., ‘New control strategy of switched reluctance machine drives’, 2010, International Review on Modelling and Simulations 3 (3) , pp. 299-305 [J-9]
247. Song, S., Liu, W., Schaefer, U., ‘Optimal control of a high speed switched reluctance starter/generator for the
more/all electric aircraft’, 2010, Diangong Jishu Xuebao/Transactions of China Electrotechnical Society 25 (4) ,
pp. 44-52 [J-9]
248. Lu, D., Kar, N.C., ‘Neural network based torque control of switched reluctance motor for hybrid electric vehicle
propulsion at high speeds’, IEEE Electrical Power and Energy Conference, EPEC 2009 [J-9]
249. Xue, X.D., Lin, J.K., Zhang, Z., Ng, T.W., Luk, K.F., Cheng, K.W.E., Cheung, N.C., ‘Study of motoring operation of in-wheel switched reluctance motor drives for electric vehicles’, 3rd International Conference on Power
Electronics Systems and Applications, PESA 2009 [J-9]
250. Blanqué, B., Perat, J.I., Andrada, P., Torrent, M., ‘Improving efficiency in switched reluctance motor drives with
online control of turn-on and turn-off angles’, European Conference on Power Electronics and Applications,
2005, art. no. 1665780 [J-9]
251. Cintron-Rivera, J.G., Babel, A.S., Montalvo-Ortiz, E.E., Foster, S.N., Strangas, E.G., ‘A simplified characterization method including saturation effects for permanent magnet Machines’, 20th International Conference on
Electrical Machines, ICEM 2012, pp. 837-843 [J-10]
252. Lee, Y., Ha, J.-I., ‘High efficiency dual inverter drives for a PMSM considering field weakening region’, IEEE
7th International Power Electronics and Motion Control Conference - ECCE Asia, IPEMC 2012 2, pp. 10091014 [J-10]
253. Siahbalaee, J., Vaez-Zadeh, S., Tahami, F., ‘A predictive loss minimisation direct torque control of permanent
magnet synchronous motors’, 2012, Australian Journal of Electrical and Electronics Engineering 9 (1) , pp. 89-98
[J-10]
254. Duan, J., Zhao, K., Sun, L., Wang, Y., Deng, X., ‘Optimal efficiency joint control for permanent magnet synchronous generators’, 2012, Diangong Jishu Xuebao/Transactions of China Electrotechnical Society 27 (3) , pp.
49-55 [J-10]
255. Betí, L.T., Schäfer, U., ‘First experimental results of highly efficient permanent magnet synchronous machine
for hybrid electric vehicle’, 14th European Conference on Power Electronics and Applications, EPE 2011 [J-10]
256. Zhu, Z.Q., Gong, L.M., ‘Improved sensorless operation of permanent magnet brushless AC motors based on
online optimal efficiency control’, IEEE International Electric Machines and Drives Conference, IEMDC 2011,
pp. 1591-1596 [J-10]
257. Sheng, Y.-F., Yu, S.-Y., Gui, W.-H., Liu, S.-X., Zhou, W.-Z., ‘Efficiency optimization control of permanent
magnet synchronous motor for urban rail traction’, Journal of Central South University (Science and Technology) 42 (7) , pp. 1997-2003 [J-10]
258. Supari, Syafaruddin, Made Yulistya Negara, I., Ashari, M., Hiyama, T., ‘RBFN based efficiency optimization
method of induction motor utilized in electrically driven marine propellers’, IEEJ Transactions on Industry Applications 131 (1) , pp. 68-75, 2011 [J-10]
259. Siahbalaee, J., Vaez-Zadeh, S., Tahami, F., ‘A new loss minimization approach with flux and torque ripples reduction of direct torque controlled permanent magnet synchronous motors’, 13th European Conference on Power
Electronics and Applications, EPE '09, art. no. 5278803 [J-10]
260. Lee, J.-G., Nam, K.-H., Lee, S.-H., Choi, S.-H., Kwon, S.-W., ‘A lookup table based loss minimizing control for
FCEV permanent magnet synchronous motors’, (2009) Journal of Electrical Engineering and Technology, 4 (2),
pp. 201-210 [J-10]
261. Liu, W., Song, K., Luo, G., ‘A novel modeling and HIL simulation of surface-mount PM taking iron loss and
saturation into account’, 2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008, art. no. 4677694 [J10]
262. Ojo, O., Wu, Z., ‘A speed contorl of an interior permanent magnet motor drive ensuring minimum electrical
loss’, 2005 IEEE International Conference on Electric Machines and Drives, pp. 1045-1052. [J-10]
263. Raweekul, S., Kulworawanichpong, T., Sujitjorn, S., ‘Modelling and simulation of multiple single - Phase induction motor in parallel connection’, Songklanakarin Journal of Science and Technology, 28 (6), pp. 1335-1350 [J10]
264. Wang, X., Hao, B., Xu, X., Gao, Q., ‘Capacitor optimization of the single-phase capacitor-run induction motor’,
2013, Applied Mechanics and Materials 273 , pp. 286-290 [J-11]
265. Raweekul, S., Kulworawanichpong, T., Sujitjorn, S., ‘Parallel - Connected single - Phase induction motors:
Modelling and simulation’, (2006) WSEAS Transactions on Circuits and Systems, 5 (3), pp. 377-384 [J-11]
266. Albatran, S., Alomoush, M., ‘Modeling and simulation of TCSC-Operated single-phase induction motor’, 2010,
Journal of Electrical Systems 6 (1), pp. 1-15 [J-12]
267. Liu, W., Song, K., Luo, G., ‘A novel modeling and HIL simulation of surface-mount PM taking iron loss and
saturation into account’, IEEE Vehicle Power and Propulsion Conference, VPPC 2008, art. no. 4677694 [J-12]
268. Li, Z., Gao, D., Lee, D.-H., Ahn, J.-W., ‘Power closed-loop control for high efficiency switched reluctance generator’, IEEE Vehicle Power and Propulsion Conference, VPPC 2012, pp. 590-593 [J-13]
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269. Bilgin, B., Emadi, A., Krishnamurthy, M., ‘Switched reluctance generator with higher number of rotor poles than
stator poles’, IEEE Transportation Electrification Conference and Expo, ITEC 2012 [J-13]
270. Du, J., Liang, D., ‘Optimal performance study of mutually coupled linear switched reluctance generators in wave
energy conversion’, International Conference on Electrical Machines and Systems, ICEMS 2011 [J-13]
271. Bao, Y.J., Cheng, K.W.E., Xue, X.D., Chan, J., Zhang, Z., Lin, J.K., ‘Research on a novel switched reluctance
generator for wind power generation’, 4th International Conference on Power Electronics Systems and Applications, PESA 2011 [J-13]
272. Kerdtuad, P., Kittiratsatcha, S., ‘Study of maximum power conversion of a switched-reluctance generator’, 8th
Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand - Conference 2011, pp. 633-636 [J-13]
273. Chang, Y.-C., Cheng, C.-H., Lu, L.-Y., Liaw, C.-M., ‘An experimental switched-reluctance generator based distributed power system’, 19th International Conference on Electrical Machines, ICEM 2010 [J-13]
274. Le-Huy, H., Chakir, M., ‘Optimizing the performance of a switched reluctance generator by simulation’, 19th
International Conference on Electrical Machines, ICEM 2010 [J-13]
275. Song, S., Liu, W., Schaefer, U., ‘Optimal control of a high speed switched reluctance starter/generator for the
more/all electric aircraft’, 2010, Diangong Jishu Xuebao/Transactions of China Electrotechnical Society 25 (4) ,
pp. 44-52 [J-13]
276. Li, Z., Zhao, N., Kan, Z., Lee, D.-H., Ahn, J.-W., ‘Modeling and simulation of A switched reluctance generator
system based on variable generation voltage converter’, 2009 INTELEC, International Telecommunications Energy Conference (Proceedings) [J-13]
277. Bao, Y.J., Cheng, K.W.E., Divakar, B.P., ‘Research on a novel switched reluctance wind power generator system
for electric vehicles’, International Conference on Power Electronics Systems and Applications, PESA 2009, art.
no. 5228590 [J-13]
278. Zhao, Y., Chai, J., ‘Current chopping controlled switched reluctance generator for wind energy applications’,
(2007) Qinghua Daxue Xuebao/Journal of Tsinghua University, 47 (7), pp. 1118-1121 [J-13]
279. Liu, S., Tan, G., Luo, C., Zhang, X., Ma, Z., ‘Magnetic performance of shearer switched reluctance motors
drive’, 2011, Procedia Earth and Planetary Science 2 (1) , pp. 98-103 [J-14]
280. Wang, G., Zhang, J.W., Hu, X.W., Zhuo, Z.M., ‘Study of the optimal power output in variable speed wind power
generation system based on switched reluctance motor’, 1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09 [J-14]
281. Sikder, C., Husain, I., Sozer, Y., ‘Switched reluctance generator controls for optimal power generation with current regulation’, IEEE Energy Conversion Congress and Exposition, ECCE 2012, pp. 4322-4329 [J-15]
282. Li, Z., Gao, D., Lee, D.-H., Ahn, J.-W., ‘Power closed-loop control for high efficiency switched reluctance generator’, 2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012, pp. 590-593 [J-15]
283. Sun, J., Kuang, Z., Wang, S., Chen, Y., ‘Efficiency optimal control of switched reluctance machine over wide
speed range applied to flywheel energy storage system’, 16th International Symposium on Electromagnetic
Launch Technology, EML 2012 [J-15]
284. Bilgin, B., Emadi, A., Krishnamurthy, M., ‘Switched reluctance generator with higher number of rotor poles than
stator poles’, IEEE Transportation Electrification Conference and Expo, ITEC 2012 [J-15]
285. Sun, J., Kuang, Z., Wu, H., Wang, S., Ning, G., ‘Implementation of a high-speed switched reluctance starter/generator system’, International Conference on Electrical Machines and Systems, ICEMS 2011 [J-15]
286. Du, J., Liang, D., ‘Optimal performance study of mutually coupled linear switched reluctance generators in wave
energy conversion’, International Conference on Electrical Machines and Systems, ICEMS 2011 [J-15]
287. Fernando, W.U.N., Barnes, M., Marjanovic, O., ‘Excitation control and voltage regulation of switched reluctance
generators above base speed operation’, IEEE Vehicle Power and Propulsion Conference, VPPC 2011 [J-15]
288. Xue, X.D., Cheng, K.W.E., Bao, Y.J., Leung, J., ‘Design consideration of C-core switched reluctance generators
for wind energy’, 4th International Conference on Power Electronics Systems and Applications, PESA 2011 [J15]
289. Shao, B., Emadi, A., ‘A digital control for switched reluctance generators’, IEEE International Conference on
Mechatronics, ICM 2011 - Proceedings pp. 182-187 [J-15]
290. Kerdtuad, P., Kittiratsatcha, S., ‘Study of maximum power conversion of a switched-reluctance generator’, 8th
Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI 2011),
pp. 633-636 [J-15]
291. Turker, C.G., Kuyumcu, F.E., ‘Determining of the magnetic characteristics of the E-core Transverse Flux Machine based on neural network’, INISTA 2011 International Symposium on INnovations in Intelligent SysTems
and Applications, pp. 217-222 [J-15]
292. An, L.H., Bian, D.X., ‘Measurement analysis of switched reluctance generator output power’, ICMREE2011 International Conference on Materials for Renewable Energy and Environment, pp. 1805-1808 [J-15]
293. Xiong, L.-X., Gao, H.-L., Xu, B.-Y., Xu, L., ‘Control principles of switched reluctance generator for maximum
output power’, (2009) Dianji yu Kongzhi Xuebao/Electric Machines and Control, 13 (2), pp. 250-254 [J-15]
Christos Mademlis / Curriculum Vitae
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294. Yuan, X., Gao, Y., Ehsani, M., ‘Study on the performance and control of SR machine for vehicle regenerative
braking’, IEEE Vehicle Power and Propulsion Conference, VPPC 2008, art. no. 4677776 [J-15]
295. Chen, H., ‘Implementation of a three-phase switched reluctance generator system for wind power applications’,
2008 14th Symposium on Electromagnetic Launch Technology, EML, Proceedings, pp. 489-494 [J-15]
296. Liu, W., Song, K., Luo, G., ‘A novel modeling and HIL simulation of surface-mount PM taking iron loss and
saturation into account’, IEEE Vehicle Power and Propulsion Conference, VPPC 2008, art. no. 4677694 [J-15]
297. Muhammad Raza, K.S., Goto, H., Hai-Jiao, G., Osamu, I., ‘Maximum power point tracking control and voltage
regulation of a dc grid-tied wind energy conversion system based on a novel permanent magnet reluctance generator’, International Conference on Electrical Machines and Systems, ICEMS 2007, pp. 1533-1538 [J-15]
298. Wei, Q., Liu, D., ‘Finite horizon optimal control of discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming’, 2011, Journal of Control Theory and Applications 9 (3) , pp. 381-390 [J16]
299. Lee, S., Kim, Y.-J., Jung, S.-Y., ‘Numerical investigation on torque harmonics reduction of interior pm synchronous motor with concentrated winding’, IEEE Transactions on Magnetics 48 (2) , 2012, pp. 927-930 [C-4]
300. Liu, H., Zhu, Z.Q., Mohamed, E., Fu, Y., Qi, X., ‘Flux-weakening control of nonsalient pole PMSM having large
winding inductance, accounting for resistive voltage drop and inverter nonlinearities’, IEEE Transactions on
Power Electronics 27 (2), 2012, pp. 942-952 [C-4]
301. Lee, S., Jeong, Y.-S., Kim, Y.-J., Jung, S.-Y., ‘Novel analysis and design methodology of interior permanentmagnet synchronous motor using newly adopted synthetic flux linkage’, IEEE Transactions on Industrial Electronics 58 (9), 2011 , pp. 3806-3814 [C-4]
302. Ahn, Y., Lee, S., Jung, S.-Y., ‘Design methodology of IPMSM using synthetic flux linkage’, 19th International
Conference on Electrical Machines, ICEM 2010 [C-4]
303. Kim, M.-S., Jeon, W., Jeong, Y.-S., Jung, S.-Y., ‘Numerical identification of synthetic flux linkages considering
cross-magnetization for interior PM Synchronous Motor and its effective availability on design and control’, 34th
Annual Conference of the IEEE Industrial Electronics Society, IECON 2008, pp. 1299-1304 [C-4]
304. Lee, S.-Y., Kwak, S.-Y., Seo, J.-H., Jung, H.-K., ‘Development of multi-layer interior permanent magnet synchronous machine for vehicle’, International Conference on Electrical Machines and Systems, ICEMS 2007, pp.
935-938 [C-4]
305. Jung, S.-Y., ‘Numerical identification of d and q axis parameters for multi-layer Buried PM Synchronous Motor
considering cross-magnetization’, International Conference on Electrical Machines and Systems, ICEMS 2007,
pp. 729-734 [C-4]
306. Kim, M.-S., Kwak, S.-Y., Jung, H.-K., Jung, S.-Y., ‘D-Q flux linkage identification for interior buried permanent
magnet synchronous motor considering cross-magnetization’, (2007) Transactions of the Korean Institute of
Electrical Engineers, 56 (12), pp. 2116-2121 [C-4]
307. Chy, Md.M.I., Nasir Uddin, M., ‘Development of a nonlinear speed controller of IPMSM drive incorporating
MTPA with mechanical parameter estimation’, IEEE International Electric Machines and Drives Conference,
IEMDC 2007, 1, art. no. 4270660, pp. 322-327 [C-4]
308. Mikail, R., Husain, I., Sozer, Y., Islam, M., Sebastian, T., ‘Four-quadrant torque ripple minimization of switched
reluctance machine through current profiling with mitigation of rotor eccentricity problem and sensor errors’,
IEEE Energy Conversion Congress and Exposition, ECCE 2012, pp. 838-842 [C-14]
Citations (without self-citations):
Publication
J1
J2
J3
J4
ISI
5
19
2
20
11
6
20
30
8
40
SCOPUS
Total
5
J5
J6
J7
J8
J9
J10
J11
J12
J13
J14
J15
J16
J17
20
5
5
11
9
18
5
11
5
16
3
9
3
39
2
6
13
2
2
11
2
17
1
3
59
7
17
22
20
7
22
7
33
4
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5
May 2013
C4
C14
9
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1
9
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11.
PRESENTATION OF THE RESEARCH WORK
11.1 Book
[B-1]
“Servomotor System Drives (Induction motors and permanent magnet motor drives)”, Edition Tziolas, 567 pages, Thessaloniki, Greece, 2010, (in Greek).
General characteristics of the electric machines and basic principles of electromechanical energy
conversion. Permanent magnets (magnetic circuits, relation between energy and volume of permanent
magnet, operational characteristics, materials and properties). Types of permanent magnet electric machines and synchronous reluctance machines.
Theory of the vector control in electric machines (space vector theory, definition of the space vectors in the arbitrary reference frame, mechanism for magnetic flux production, operational principle of
the vector control). Arbitrary reference frame equivalent circuits for ac electric machines in dynamic operation and two-axis theory for various types of electric machines. Power electronic converters.
Vector control and direct torque control in induction motor drives. Square-wave permanent magnet
synchronous motor (brushless dc motor), sinusoidal permanent magnet synchronous motor (non-salient
and salient type brushless ac motor). Speed and position sensors for electric machines and PI controller.
Basic principles for optimal design and adjustment of controller parameters in servo drive systems.
11.2 Lecture Notes
[N-1]
“Electric Machines Magnetic Circuits and Electromechanical Energy Conversion”, Notes for
the lesson Electric Machines A΄, Aristotle University of Thessaloniki, 89 pages, Thessaloniki,
Greece, 2005, (in Greek).
Magnetic circuits of electric machines (magnetic material behaviour, closed magnetic circuit, magnetic circuit with air gap). Induced voltage and magnetically coupled circuits (magnetically coupled inductors and transformer equivalent circuit).
Power losses and efficiency of a transformer, (magnetic field energy, hysteresis and eddy-current
losses, full and approximated equivalent circuit of a transformer). Magnetic circuit of rotational electric
machines.
Basic principles of electromagnetic energy conversion (mechanical force production and variation of
the energy stored in the coupling field, energy conversion in voltage source and current source electric
energy conversion system, graphical representation of the energy conversion, mechanical force and
torque in a double excited electromechanical system, force and torque production in electric machines).
[N-2]
“Single-phase Motors”, Notes for the lesson Electric Machines B΄, Aristotle University of
Thessaloniki, 50 pages, Thessaloniki, Greece, 2004, (in Greek).
General characteristics (equivalent circuits of single phase electric motors and torque-speed characteristic). Two-phase electric motor – Starting of the single phase induction motor (cross field theory and
double revolving field theory in two phase and single phase induction motors). Single-phase induction
motor (split-phase and capacitor type induction motor and the equivalent circuits).
Universal motor (equivalent circuit and torque-speed characteristic).
11.3 Ph. D. Dissertation
“Loss Minimization in Synchronous Motors and Study of their Operational and Thermal Performance”. Aristotle University of Thessaloniki, 164 pages, Thessaloniki, Greece, 1997.
The loss minimization problem in wound field cylindrical rotor synchronous motor drives is investigated. Also, the magnetic and thermal behaviour of the motor in the case of optimal efficiency operation
is considered.
The suggested loss minimization method is based on the air-gap flux weakening and attempt to
make the air-gap flux an increasing function of the load torque. This technique is easily implemented on
adjustable speed drives, which are inverter-fed. The efficiency improvement and the energy saving are
considerable when the motor operates at light load.
Christos Mademlis / Curriculum Vitae
May 2013
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From the theoretical analysis, two loss minimization conditions are derived. The first loss minimization condition is known from the synchronous motor theory and its optimal power factor is equal to unity.
However, the absolute minimum loss results from the second condition with lagging optimal power factor. The existence of two loss minimization conditions and the fact that the absolute minimum is achieved
with the second condition are experimentally verified.
The loss minimization method is implemented selectively by a system of two search controllers
(SCs) or two loss model controllers (LMCs). The SCs measure the input power of the drive and adjust the
stator voltage and the excitation current, while search for the minimum input power. On the other hand,
the LMCs measure the speed and the armature current and determine the optimal stator voltage and the
optimal excitation current through the synchronous motor loss model. The reference speed can be used
instead of the actual speed. In this thesis a simple method has been developed for experimental determination of the LMCs parameters. From the experiments it is concluded that the LMCs performance is better than the SCs because LMCs outputs attain a steady state, while the SCs outputs oscillate around the
optimal air-gap flux value and cause undesirable torque disturbances.
The two-dimensional magnetic field is solved by the finite-element technique over the whole crosssection of the motor, in steady-state, by taking saturation into account. The program inputs are the field
current, the armature current and the phase angle between them. In this thesis, the dc field winding is replaced by a three-phase equivalent winding reflected to the stator side. The sinusoidal currents of this
winding excite a magnetic field of which the fundamental component is equivalent to the original. Upon
this approach, there is no relative motion between the rotor and stator. The analysis is applied to the 1kW synchronous motor of the experiments. Through the magnetic field solution, it is verified that the loss
minimization method leads to non-saturated operation.
The temperature field is calculated in steady state, assuming non-axial thermal heat flow. The program inputs are the thermal sources of the copper losses (measured experimentally) and iron losses (calculated from the distribution of the magnetic field). The temperature distribution is calculated for various
loads and speeds. It is proved that the temperature values under the loss minimization method are lower
than in the nominal flux operation. Also, it is noticeable that, although the stator copper losses are increasing, the temperature in the stator copper decreases.
11.4 Refereed journal papers
[J-1]
Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Wound-Field Cylindrical Rotor Synchronous Motor Drives”, IEEE Trans. on Power Electronics, vol. 13, no. 2,
pp. 288 - 296, March 1998.
In this paper was published the results of the first part of the Ph. D. Dissertation.
The loss minimization problem in wound-field cylindrical rotor synchronous motor drives (SMD’s)
is investigated. From the theoretical analysis results a system of two loss model controllers (LMC’s) for
determining the optimal air-gap flux and optimal excitation current that minimizes the losses. The suggested LMC’s are simple, and their implementation does not affect significantly the cost and complexity
of the drive. Although the conception of the suggested LMC’s is based on the loss model of the synchronous motor, it is shown that their implementation does not require knowledge of the loss model. All the
theoretical results are verified experimentally.
[J-2]
Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Surface Permanent
Magnet Synchronous Motor Drives”. IEEE Trans. on Industrial Electronics, vol. 47, no. 1,
pp. 115-122, Feb. 2000.
The loss minimization in surface PM synchronous motor drives is investigated. Based on theoretical
analysis, a loss model controller is introduced to specify the optimal air-gap flux that minimizes losses.
Theoretical results are verified experimentally. The proposed loss model controller is simple and does not
affect adversely the cost and complexity of the drive. Implementation of the loss model controller does
not require knowledge of the loss model. The suggested loss minimization method can be applied both in
V/f or current-controlled schemes.
Christos Mademlis / Curriculum Vitae
May 2013
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[J-3]
Mademlis C., Margaris N., and Xypteras J. “Magnetic and Thermal Performance of a Synchronous Motor under Loss Minimization Control”. IEEE Trans. on Energy Conversion,
vol. 15, no. 2, pp. 135-142, June 2000.
In this paper was published the results of the second part of the Ph. D. Dissertation. Additionally,
experimental results are presented that validate the theoretical considerations.
The steady state magnetic and thermal performance of a wound-field cylindrical rotor synchronous
motor under loss minimization control is investigated. The calculated magnetic field waveforms are presented and it is shown that loss minimization control decreases the magnetic saturation. It is also proved
that although the optimal stator current is increased, the temperature is decreased in all parts of the motor.
Theoretical and experimental results are presented to verify the operational improvements.
[J-4]
Mademlis C. and Agelidis V.G., “On Considering Magnetic Saturation with Maximum
Torque to Current Control in Interior Permanent Magnet Synchronous Motor Drives”,
IEEE Trans. on Energy Conversion, vol.16, no. 3, pp. 246-252, Sept. 2001.
The influence of magnetic saturation on maximum torque to current controlled interior permanent
magnet synchronous motor drives is discussed in this paper. A maximum torque to current condition that
takes into account magnetic saturation and determines the optimal d-axis current is derived. For the implementation of the proposed controller, an experimental procedure is used to adjust its parameters, therefore, the knowledge of the exact model is not required. Selected experimental results are presented to
verify the theoretical considerations and to confirm the high performance of the suggested controller.
[J-5]
Agelidis V.G. and Mademlis C., “Technology of Offshore Wind Turbines and Farms and
Novel Multilevel Converter-Based HVDC Systems for their Grid Connections”, Wind Engineering, vol. 26, no. 6, pp. 383-395, Nov. 2002, (Invited paper).
The technology associated with offshore wind farms is discussed in detail. First, the various offshore
wind turbines are reviewed and the factors influencing their characteristics are outlined in comparison
with their onshore counterparts. This overview serves as a basis for the discussion that follows regarding
the possible electrical connection within the farm, and between the farm and the grid. Voltage-source
converter-based HVDC connection is compared with HVAC connection. Finally, a novel multilevel converter-based HVDC system, based on flying capacitor multilevel converters is proposed, as a possible
interface between the farm and the grid.
[J-6]
Mademlis C. and Margaris N., “Loss Minimization in Vector Controlled Interior Permanent Magnet Synchronous Motor Drives”, IEEE Trans. on Industrial Electronics, vol. 49,
no. 6, pp. 1344-1347, Dec. 2002.
An efficiency optimization method for vector-controlled interior permanent-magnet synchronous
motor drives is presented. Based on theoretical analysis, a loss minimization condition that determines
the optimal d-axis component of the armature current is derived. Selected experimental results are presented to validate the effectiveness of the proposed control method.
[J-7]
Mademlis C., “Compensation of Magnetic Saturation in Maximum Torque to Current Vector Controlled Synchronous Reluctance Motor Drives”, IEEE Trans. on Energy Conversion, vol. 18, no. 3, pp. 379-385, Sept. 2003.
This paper investigates the influence of magnetic saturation in maximum torque to current vector
controlled synchronous reluctance motor drives. A theoretical analysis is presented where a maximum
torque to current condition that takes into account and compensates the effect of magnetic saturation in
the synchronous reluctance motor drive performance is derived. The proposed controller does not affect
the dynamic performance of the drive and is easily implemented, since an experimental procedure is used
to determine its parameter. Therefore, the knowledge of the exact motor model is not required. Several
experimental results are presented to validate the effectiveness of the proposed controlled scheme.
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[J-8]
Kioskeridis I. and Mademlis C., “Energy Efficiency Optimization in Synchronous Reluctance Motor Drives”, IEE Proc. – Electric Power Applications, vol. 150, no. 2, pp. 201209, March 2003.
This paper presents a method for energy efficiency optimization of synchronous reluctance motor
drives. The proposed method is implemented both in current vector or voltage source V/f controlled
schemes. Based on theoretical considerations, two optimal efficiency conditions that determine the optimal air-gap flux and the optimal d-axis current for the two control schemes are derived. The proposed
controllers do not affect the cost and the complexity of the drive. Moreover, they are easily implemented,
since an experimental procedure is used to determine their parameters and therefore the knowledge of the
loss model is not required. Experimental results are presented to validate the proposed control methods
and the resulting improvements.
[J-9]
Mademlis C. and Kioskeridis I., “Performance Optimization in Switched Reluctance Motor Drives with On-line Commutation Angle Control”, IEEE Trans. on Energy Conversion,
vol. 18, no. 3, pp. 448-457, Sept. 2003.
The problem of performance optimization in current controlled switched reluctance motor (SRM)
drives is investigated. Two controllers are proposed that determine the optimal turn-on and turn-off angles, respectively, for improving motor efficiency and torque ripple. The suggested controllers are simple,
do not affect the complexity of the drive, and are easily implemented since the knowledge of torqueangle-current characteristics or magnetization curves is not required. The proposed control scheme is
demonstrated on a prototype experimental system.
[J-10]
Mademlis C., Kioskeridis I., and Margaris N., “Optimal Efficiency Control Strategy for
Interior Permanent Magnet Synchronous Motor Drives”, IEEE Trans. on Energy Conversion, vol. 19, no. 4, pp. 715-723, Dec. 2004.
In this paper, the problem of efficiency optimization in vector-controlled interior permanent-magnet
(PM) synchronous motor drives is investigated. A loss model controller is introduced that determines the
optimal d-axis component of the stator current that minimizes power losses. For the implementation of
the suggested controller, the knowledge of the loss model is not required since an experimental procedure
is followed to determine its parameters. Furthermore, it is shown that the loss model of the interior PM
motor can be used as a basis for deriving loss minimization conditions for surface PM synchronous motors and synchronous reluctance motors as well. Experimental results of an interior PM motor are presented to validate the effectiveness of the proposed method and demonstrate the operational improvements.
[J-11]
Mademlis C., Kioskeridis I., and T. Theodoulidis, “Optimization of Single-Phase Induction Motors, Part I: Maximum Energy fficiency Control”, IEEE Trans. on Energy Conversion, vol. 20, no. 1, pp. 187-195, March 2005.
This paper investigates the problem of efficiency optimization in capacitor-run single-phase induction motors. The double-revolving-field concept is employed in the theoretical analysis and a relation
between the main and auxiliary stator currents is derived that accomplishes optimal efficiency under constant torque operation. A triac-based drive with an optimal efficiency voltage controller is proposed. The
controller is easily implemented since an experimental procedure is used for adjusting its parameters.
Moreover, the proposed control scheme satisfies all of the prerequisites of simplicity, reliability, and
cost-effectiveness that are imposed by the utilization of a single-phase motor. Several experimental results are presented to validate the effectiveness of the proposed efficiency optimization control method.
[J-12]
Mademlis C., Theodoulidis T., and Kioskeridis I., “Optimization of Single-Phase Induction Motors, Part II: Magnetic and Torque Performance under Optimal Control”, IEEE
Trans. on Energy Conversion, vol. 20, no. 1, pp. 196-203, March 2005.
The magnetic and torque performance of a capacitor-run single-phase induction motor operated at
constant torque under the optimal efficiency control, as presented in Part I [J-11], is analysed. The magChristos Mademlis / Curriculum Vitae
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netic field analysis demonstrates that magnetic saturation is considerably decreased with optimal efficiency control. Although triac-based optimal voltage controller introduces voltage and current harmonics,
torque pulsations and acoustic noise are reduced due to magnetic flux weakening. The reduction of
torque pulsations and acoustic noise is considerable in the low torque region where significant energy
savings are also achieved. Selected calculated and experimental results are presented to validate the theoretical considerations and the resulting improvements.
[J-13]
Mademlis C. and Kioskeridis I., “Optimizing Performance in Current Controlled Switched
Reluctance Generators”, IEEE Trans. on Energy Conversion, vol. 20, no. 3, pp. 556-565,
Sept. 2005.
The problem of choosing the firing angles for accomplishing optimal performance in currentcontrolled switched reluctance generators (SRGs) is examined. The optimal performance is reached with
the correct balance between the criteria of high efficiency and low torque ripple. The concept of the
method is based on the optimal control of turn-on and turn-off angles according to electrical load requirements and depending on rotor speed and dc-link voltage. A simple controller is proposed that online determines the optimal firing angles. The suggested controller does not affect the complexity of the
drive and the knowledge of the magnetization curves is not required for its implementation. Simulation
and experimental results are presented to validate the resulting improvements of the proposed control
scheme.
[J-14]
Kioskeridis I. and Mademlis C., “Maximum Efficiency in Single-Pulse Controlled
Switched Reluctance Motor Drives”, IEEE Trans. on Energy Conversion, vol. 20, no. 4,
pp. 809-817, Dec. 2005.
The problem of choosing the firing angles for accomplishing maximum efficiency in single-pulse
controlled switched reluctance motor drives is investigated. The suggested method is based on the optimal control of flux-linkage, through the firing angles, according to load torque requirements and depending on rotor speed. A controller that determines online the optimal turn-on and turn-off angles is proposed. The suggested controller does not affect the complexity of the drive and it is easily implemented,
since knowledge of magnetization curves is not required. Moreover, it provides smooth transition between optimal single-pulse and pulse width modulation (PWM) current control modes and thus, optimal
performance of the switched reluctance motor drive is attained over the entire speed range. Simulation
and experimental results are presented to validate the resulting improvements of the proposed control
scheme.
[J-15]
Kioskeridis I. and Mademlis C., “Optimal Efficiency Control of Switched Reluctance
Generators”, IEEE Trans. on Power Electronics, vol. 21, no. 4, pp. 1062-1072, July 2006.
This paper investigates the problem of optimal control for accomplishing maximum energy conversion in switched reluctance generators. A controller that determines the optimal turn-on and turn-off angles in the mode of single-pulse operation is proposed. The structure of the controller and its implementation are simple, since the knowledge of the magnetization curves is not required. The suggested generator
drive operates in a wide speed range and provides constant dc-link voltage at a desired value, with maximum energy efficiency. Simulation and experimental results are presented to validate the effectiveness
and the resulting improvements of the proposed control scheme.
[J-16]
Kioskeridis I. and Mademlis C., “A Unified Approach for Four-Quadrant Optimal Controlled Switched Reluctance Machine Drives with Smooth Transition between Control Operations” IEEE Trans. on Power Electronics, vol. 24, no. 1, pp. 301-306, Jan. 2009.
The aim of this paper is to unify the optimal control of a switched reluctance machine in a fourquadrant drive with smooth transition between the control-mode operations. The smooth transition is attained since the firing angle conditions of one operating mode are derived from the conditions of the other operating mode. The proposed control scheme is easily implemented since the knowledge of the machine magnetization curves is not required. Experimental results on a prototype control system are pre-
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sented to validate the theoretical considerations and demonstrate the effectiveness of the proposed control
scheme.
[J-17]
Mademlis C., Kioskeridis I., “Gain Scheduling Regulator for High Performance Position
Control of Switched Reluctance Motor Drives”, IEEE Trans. on Industrial Electronics, vol.
57, no. 9, pp. 2922-2931, Sept. 2010.
The problem of high-precision position control in switched reluctance motor (SRM) drives is investigated in this paper. Advanced proportional–integral and proportional–differential controllers for speed
and position controls, respectively, are adopted. A gain-scheduling technique is adopted in the speed controller design for providing high dynamic performance and precise position control. In order to improve
the set-point tracking, a low-pass filter is included in the position controller. The proposed four-quadrant
control scheme is based on the average torque control method. The turn-on and turn-off angles are online
determined through simple formulas so as to reduce the torque ripple at an acceptable level over a wide
speed range. This is important since the position precision is highly influenced from the motor torque
ripple. Experimental results of the SRM dynamic response are presented to verify the theoretical considerations and to demonstrate the effectiveness of the proposed control scheme.
[J-18]
Mesemanolis A., Mademlis C., and Kioskeridis I., “High-Efficiency Control for a Wind
Energy Conversion System With Induction Generator”, IEEE Trans. on Energy Conversion, 2012, vol. 27, no. 4, pp. 958-967, Dec. 2012.
In this paper, an improved efficiency control scheme for wind energy conversion systems (WECSs)
with squirrel cage induction generators is proposed. Thus, the power harvesting from the WECS is increased and additionally expansion of the exploitable wind speed region toward the lower speed range is
accomplished. The generator is connected to the power grid by means of two space-vector-controlled
back-to-back converters. A minimum ohmic loss (MOL) controller is introduced in order to minimize the
generator resistive loss that is accomplished by adjusting the d-axis stator current according to torque
conditions. The implementation of the proposed controller is easy and cost effective because neither additional control signals nor the knowledge of the generator loss model is required. The effectiveness of
MOL controller and its successful cooperation with two types of maximum power point tracking (MPPT)
controllers, which are employed to maximize the wind turbine output power, are experimentally verified.
The MPPT controller is implemented by using an adaptive search control and a fuzzy-logic-based control
technique, since both are independent of wind turbine characteristics and widely used. Selective experimental results are presented to demonstrate the resulting improvements of the suggested control scheme.
11.5
[C-1]
Refereed conference papers
Mademlis C., Xypteras J., and Margaris N. “Loss Minimization in Synchronous Motors”,
Proceedings of IEEE International Symposium of Industrial Electronics, ISIE’95, vol. 1,
pp. 297-302, Athens 1995.
It is known that, if an electrical machine does not operate at nominal load, nominal magnetic flux is
not required. That means that, if magnetic flux is reduced, iron losses can be reduced also. On the contrary, copper losses at the stator are increased for a given constant load. Using the proposed method, power
supply of the stator and rotor can be controlled in order to achieve optimal magnetic flux, under which
value, total power losses can be minimized. Preliminary work of J-1.
[C-2]
Mademlis C., Xypteras J., and Margaris N. “Calculation and Minimization of Synchronous
Motor Power Losses”, Workshop in Contemporary Problems in Power Engineering, pp.
153-168, Thessaloniki 1995.
The proposed method determines the optimal air gap magnetic flux, for constant power factor
(cosφ=1) and minimizes the total power losses in steady state. The method can be applied to all types of
synchronous motors. In the present paper, the theoretical analysis refers to the non-salient pole motor,
whereas the experiments took place in a salient pole motor. Preliminary work of J-1.
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[C-3]
Mademlis C., Xypteras J., and Margaris N. “Magnetic and Thermal Analysis of a WoundField Cylindrical Rotor Synchronous Motor in Optimal Efficiency Operation” Proceedings
of Intern. Conf. on Electrical Machines, ICEM’98, vol. 1, pp. 187-192, Istanbul 1998.
The steady state magnetic and thermal performance of the wound-field cylindrical rotor synchronous
motor under loss minimization control is investigated. The calculated magnetic field waveforms are presented and they are shown that loss minimization control decrease the magnetic saturation. It is also
proved that although the optimal stator current is increased, the temperature is decreased in all the parts
of the motor. The method of finite elements throughout the motor cross section is used for the calculations. Preliminary work of J-3.
[C-4]
Mademlis C. and Agelidis V. “A High-Performance Vector Controlled Interior PM Synchronous Motor Drive with Extended Speed Range Capability”, 27th Annual Conference of
IEEE Industrial Electronics Society, IECON’01, Denver Colorado, pp. 1475-1482, Nov.
2001.
A high performance current vector controlled scheme for interior permanent magnet (IPM) synchronous motor drives is presented in this paper. The proposed control scheme takes into account the magnetic saturation effects on the performance of the drive and is applicable over the entire speed range of IPM
motor operation, considering the limits of the supply’s current and voltage rated values. A DSP-based
controller has been built to verify the validity of the theoretical considerations. An experimental procedure used to adjust its parameters, makes it quite attractive for industrial applications since knowledge of
the exact motor model is not required. Simulation and experimental results under various operating conditions are presented to validate the high performance of the proposed controller. Preliminary work of J4.
[C-5]
Mademlis C. and Kioskeridis Ι. “Optimal Control in Switched Reluctance Motor Drives”
IEE Intern. Conf. MedPower 2002, Athens, Greece, Nov. 2002.
In this paper, the problem of performance optimization in current controlled switched reluctance
motor (SRM) drives is investigated. A new method that on-line determines the optimal commutation angle (turn-off angle), for optimizing performance criteria of efficiency and torque ripple reduction is proposed. The optimal commutation angle is determined by taking into account the overlap region of flux
linkage profiles in adjacent phases and an optimal condition is derived. The proposed controller measures
the de-fluxing interval and, through the condition, determines the optimal value of the commutation angle. The effectiveness of the proposed control scheme and the operational improvements are validated by
several simulation and experimental results obtained from a 4-phase, 8/6 poles, 1-hp SRM drive. Preliminary work of J-9.
[C-6]
Mademlis C. and Agelidis V. “Wide Speed Operation of Synchronous Reluctance Motor
Drives with a High-Performance Current Regulation Control Scheme” IEE Intern. Conf.
MedPower 2002, Athens, Greece, Nov. 2002.
In this paper a high performance current vector controlled scheme for synchronous reluctance motor
drives is presented. The proposed control scheme is applicable over a wide speed range of synchronous
reluctance motor operation and takes into account the magnetic saturation effects on the performance of
the drive. Three distinct operating regions of synchronous reluctance motor operation are examined. The
limitations imposed by the current and voltage rated values of the supply unit are considered as well. The
validity of the theoretical considerations and the associated control performance are examined by simulation and experimental results. A DSP-based controller has been built to verify the validity of the theoretical considerations. Experimental results under various operating conditions are presented to validate the
high-performance of the proposed controller.
[C-7]
Agelidis V. and Mademlis C., “Offshore Wind Turbines, Associated Drive Technology
and Novel Multilevel Converter-Based HVDC Grid Connections” IEE Intern. Conf.
MedPower 2002, Athens, Greece, Nov. 2002.
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In this paper the technology associated with offshore wind farms is discussed in detail. First the various offshore wind turbines are reviewed and the factors influencing their characteristics are outlined
against their onshore counterparts. This overview serves as a basis for the discussion that follows regarding the possible electrical connection within the farm and between the farm and the grid. The voltagesource converter based HVDC connection against the HVAC one is also discussed. Finally, a novel multilevel converter-based HVDC system based on flying capacitor multilevel converters is proposed as a
possible interface between the farm and the grid. Preliminary work of J-5.
[C-8]
Theodoulidis T. and Mademlis C., “Study on Efficiency Improvement of Single-Phase
Induction Motors”, 38th International Univ. Power Eng. Conference, UPEC 2003, vol. 1,
pp. 45-48, Thessaloniki, Greece, Sept. 2003.
The problem of efficiency improvement in single-phase induction motors is studied with the primary
interest being the reduction of copper losses under condition of constant torque. The theoretical analysis
of the problem is presented for a capacitor-run motor and an optimal efficiency condition that relates the
currents of two-stator windings is derived. The effectiveness of the proposed improved efficiency control
method is verified experimentally. Preliminary work of J-11.
[C-9]
Mademlis C. and Michaelides A., “Magnetic Performance of a Single Phase Induction
Motor under Triac-based Voltage Control”, 8th WSEAS Trans. on Circuits and Systems, International Conference, vol. 3, no. 5, pp. 1240-1245, Athens, Greece, July 2004.
The magnetic performance of a capacitor-run single-phase induction motor under triac-based voltage control is examined and compared with that accomplished by the nominal voltage supply. The magnetic field is calculated through two-dimensional finite elements in steady state, including the effect of
rotor rotation. Selected calculated results are presented and the effect of a non-sinusoidal voltage supply
on magnetic performance of the single-phase induction motor is discussed.
[C-10]
Mademlis C. and Kioskeridis I., “Calculation of the Optimal Fire Angles in Single-Pulse Controlled Switched Reluctance Generator Drives”, Intern. Conf.on Electrical Machines,
ICEM’06, Chania, Greece, Sept. 2006.
In this paper, a high performance single-pulse controlled scheme for switched reluctance generator
drives is presented. The high-performance of the switched reluctance generator is reached through a correct balance between the criteria of high efficiency and low torque ripple. A controller is proposed, that
determines the optimal turn-on and turn-off angles according to electrical load requirements and depending on rotor speed and dc-link voltage. Also, the suggested controller provides smooth transition between
PWM control and single-pulse control modes. Several simulation and experimental results are presented
to validate the effectiveness and to demonstrate the resulting improvements of the proposed control
scheme. Preliminary work of J-15.
[C-11]
Michaelides A. M. and Mademlis C., “Dynamic Performance Analysis on Switched Reluctance Motors and Iron Loss Calculation using the Finite Element Method”, Intern. Conf. on
Electrical Machines, ICEM’06, Chania, Greece, Sept. 2006.
This paper presents the simulation of a switched reluctance drive system using a finite element based motional solver. The results are used to accurately compute the performance of the motor, including iron losses. A transient eddy current solver, including rotation, is employed to simulate motor performance. The phase voltages are controlled using a user-defined “control script” that dictates the voltage
across each phase winding of the motor, based on the instantaneous rotor position and phase current value. Powerful scripting within the finite element analysis environment enables the user to emulate the control algorithm being implemented in a real switched reluctance motor microcontroller. The rationale behind the iron loss formulation is also described and the physical origin of the flux variation in the different parts of the machine is explained. Thus, accurate loss results are obtained by processing the B-field
waveforms ‘seen’ everywhere in the machine. Simulation and experimental results on a 4-phase, 1-hp,
8/6 SRM are presented and discussed.
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[C-12]
Mademlis C. and Kioskeridis I., “Smooth Transition between Optimal Control Modes in
Switched Reluctance Motoring and Generating Operation”, Intern. Conf. on Power Systems
Transients, IPST’07, Lyon, France, June 2007.
This paper presents the design and implementation of a control system for switched reluctance machines applicable over the entire speed range, for motoring and generating operation. The suggested control system achieves high performance and smooth transition between PWM-control to single-pulse control modes. The proposed controller on-line determines the optimal firing angles for all operating modes.
The optimal condition of one operating mode is derived from the optimal condition of the other operating
mode and thus smooth transition between the control modes is provided. The parameters of the optimal
controller and the model of the test switched reluctance machine are determined experimentally. Simulation results under various operating conditions are presented to demonstrate the effectiveness of the proposed control scheme. Preliminary work of J-16.
[C-13]
Mademlis C. and Kioskeridis I., “High Performance Position Control for Switched Reluctance Motor Drives with the Average Torque Control Method” Intern. Conf. CEFC’2008,
Athens, Greece, pp. 179, May 2008.
Aim of this paper is to investigate the problem of the position control in switched reluctance motor
(SRM) drives and to develop a simple and easily implemented controller for servo drive applications. The
proposed controller provides quick response and precise position control. This can be accomplished by
providing smooth torque since the response and the position precision are highly influenced from the motor torque ripple. A four-quadrant control scheme is proposed that is based on the average torque control
method. The turn-on and turn-off angles are online determined through simple formulas to provide
smooth torque operation. Several simulation and experimental results on a prototype SRM drive are presented. Preliminary work of J-17.
[C-14]
Mademlis C. and Kioskeridis I., “Four-Quadrant Smooth Torque Controlled Switched Reluctance Machine Drives”, Intern. Conf. PESC’08, Rhodos, Greece, pp. 1216-1222, June
2008.
The design of a new control scheme for a four quadrant Switched Reluctance Machine (SRM) drive
is presented. The SRM drive operates over the entire speed range and provides low torque ripple with
smooth transition between the control operations. The low torque ripple is achieved by controlling the
firing angles through simple formulas so as to minimize the pulsations of the total current in the commutation region. The smooth transition is attained since the conditions that determine the firing angles of
one operating mode are derived from the conditions of the other operating mode. The smooth transition
between motoring and braking operation is accomplished by means of a new control technique. The SRM
drive is modeled in Simulink environment and several simulation results are presented to validate the
feasibility of the proposed control scheme. Preliminary work of J-16.
[C-15]
Papadopoulos K. G., Mademlis C., Michaelides A. M., Riley C. P., and Coenen I., “Advanced Parametric Environment for Electrical Machines Design Optimization”, Intern.
Conf. ICEM’2008, Vilamoura, Portugal, Sept. 2008.
The paper describes a template-style front-end to a generic electromagnetic modeling tool, for the
analysis and optimization of Electrical Machines. A two and three-dimensional FEA model for a generator and motor can be created in minutes, using templates with 'fill in the blanks' style screens. Accurate
virtual prototypes can then be produced to help engineers provide answers on the performance of specific
machine designs rapidly, and perform searching 'what-if?' investigations to identify the design characteristics of the perfect machine. Optimization tools are also available within the Environment, enabling engineers to find the 'best' solution automatically. Equally important is that the Environment is structured to
allow creation and analysis of customised geometries, including special proprietary features.
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[C-16]
Mademlis C. and Kioskeridis I., “A Fine-Tuning Regulator for High Performance Control
of Switched Reluctance Motor Drives”, Intern. Conf. MedPower’2008, Thessaloniki,
Greece, Nov. 2008.
This paper presents the design of a new fine tuning regulator that on-line adjusts the speed proportional-integral (PI) controller parameters and provides high dynamic performance of the switched reluctance motor drives. The parameters of the controller are on-line adjusted according to the load torque and
rotor speed. The control system is modelled as a single-input single output model and the real time estimation of the speed PI parameters is accomplished through a nonlinear compensation look-up table that
takes into account the influence of load torque and rotor speed variation. The real-time approach improves the robustness of the control system and compensates the influence of the nonlinear uncertainties
plus any manufacturing imperfections on the control behaviour of the motor. Moreover, the proposed fine
tuning controller is capable of maintaining the torque ripple at an acceptable level over a wide speed
range. Computer simulations of the switched reluctance motor drive dynamic response are employed so
as to verify the theoretical analysis and to validate the operational improvements. Preliminary work of J17.
[C-17]
Mademlis C. and Kioskeridis I., “Position Control of Switched Reluctance Motors by using an Online Fine-Tuning Regulator”, Intern. Conf. Electromotion’2009, Lily, France, July
2009.
This paper investigates the problem of the position control in switched reluctance motor drives. Advanced proportional-integral (PI) and proportional-differential (PD) controllers for the speed and position
control, respectively, are adopted. The parameters of the controllers are on-line fine-tuned according to
the load torque and rotor speed, for providing high dynamic performance and precise position control. In
order to improve the set-point tracking of the drive performance, a low-pass filter is included in the position controller. The proposed four-quadrant control scheme is based on the average torque control method. The turn-on and turn-off angles are on-line determined through simple formulas and the proposed fine
tuning regulator is capable of maintaining the torque ripple at an acceptable level over a wide speed
range. This is important since the position precision is highly influenced from the motor torque ripple.
Experimental results of the switched reluctance motor dynamic response are presented to verify the theoretical considerations and to demonstrate the effectiveness of the proposed control scheme. Preliminary
work of J-17.
[C-18]
Mademlis C. and Kioskeridis I., “Control Design for Maximum Efficiency of a Variable
Speed Wind Energy Conversion System”, Intern. Conf. DISTRES’2009, Nicosia, Cyprus,
Dec. 2009.
This paper presents a control system for both tracking the wind turbine peak power operating point
and minimizing the generator power loss. Thus, maximum efficiency is achieved along the whole wind
energy conversion process. The generator is connected to the power network by means of a fully controlled frequency converter which consists of a pulse-width modulation (PWM) rectifier, an intermediate
dc-link circuit and a PWM inverter. Field oriented control is applied and two search controllers are introduced that control the d- and q-axis stator current components of the generator. The peak power point of
the wind turbine is determined through the one search controller by varying the q-axis stator component
and, through this, the generator speed. Thus, the speed reference of the generator is dynamically modified
according to the wind power. The power loss of the generator is minimized by controlling the fluxlinkage according to the rotor speed and the mechanical torque. This is implemented by another search
controller that controls the d-axis component of the stator current so that the generator power loss is minimized. For the implementation of the proposed control method the knowledge of the wind turbine parameters and the generator loss model are not required. The generator considered in this paper is a squirrel cage rotor induction machine. However, the proposed control method can be applied to permanent
magnet synchronous generator as well. Several simulation results are presented to validate the effectiveness of the proposed control method and to demonstrate the operational improvements.
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[C-19]
Mesemanolis A., Mademlis C., Kioskeridis I., “Maximum Efficiency of a Wind Energy
Conversion System with a PM Synchronous Generator”, Intern. Conf. MedPower’ 2010,
Agia Napa, Cyprus, Nov. 2010.
In this paper, a control strategy for a Wind Energy Conversion System (WECS) is introduced aiming
in both maximum power operation of the wind turbine and minimum power loss of the electrical generator. The conventional configuration of ac-dc-ac topology for Permanent Magnet Synchronous Generator
(PMSG) is used. The PMSG is driven by a Pulse-Width Modulation (PWM) rectifier, an intermediate dclink circuit and a PWM inverter for the connection to the utility grid. Field oriented control technique is
applied at the rectifier for the separate control of d- and q-axis stator current components of the PMSG.
For this purpose, two search controllers are utilized. One search controller regulates the q-axis stator current and through this the generator speed. Thus, the reference speed of the generator is dynamically modified according to the wind speed in order to maintain the wind turbine at its maximum power operating
point. The second search controller regulates the d-axis current component for controlling the excitation
flux of the generator, and therefore for minimizing the electrical loss of the PMSG. For the implementation of the above control method, the knowledge of neither the wind turbine parameters nor the generator
loss model is required. The proposed control method has been simulated in Matlab/Simulink software,
and several simulation results are presented in order to validate its effectiveness and the operational improvements.
[C-20]
Mesemanolis A., Mademlis C., Kioskeridis I., “Maximum Electrical Energy Production of
a Variable Speed Wind Energy Conversion System”, 21th IEEE Intern. Symp. on Industrial
Electronics ISIE 2012, Hangzhou, China, May 2012.
This paper proposes a control strategy for Wind Energy Conversion Systems (WECSs) aiming in
both maximum power harvesting from the wind turbine and minimum power loss of the electrical generator. Thus, maximum efficiency along the whole wind energy conversion process is achieved and additionally expansion of the exploitable wind speed region towards the lower-speed range is accomplished.
A squirrel cage induction generator connected to the power grid by means of two back-to-back converters
is used. Field oriented control is applied and a system of two Search Controllers (SCs) is introduced for
the control of the d- and q-axis stator current components of the generator. The maximum power at the
wind turbine is achieved through the one SC by adjusting the q-axis current and through this, the generator speed. Another SC is introduced in order to maximize the efficiency of the electrical generator by
controlling its flux-linkage. The dynamic performance of the system is improved by introducing control
loops that compensate the delayed response of the flux-linkage to the d-axis current component and provide improved torque control operation. Several experimental results are presented to demonstrate the
effectiveness and operational improvements of the proposed control system.
[C-21]
Karakasis N., Mesemanolis A. and Mademlis C., “Performance Study of Start-up Control
Techniques in a a Wind Energy Conversion System with Induction Generator”, Intern.
Conf. Speedam’2012, Sorrento, Italy, June 2012.
This paper studies the performance of a Wind Energy Conversion System (WECS) with an induction generator under various start-up control techniques. The capability of self-excitation of the induction
generator using three control techniques is examined. The generator is connected to the power grid by
means of a fully controlled frequency converter which consists of a pulse-width modulation (PWM) rectifier, an intermediate dc-link circuit and a PWM inverter. Field oriented control is applied and Maximum
Power Point Tracking (MPPT) of the wind turbine is achieved by using the Perturb & Observe (P&O)
control technique. A squirrel cage induction generator is considered in this paper. The control system has
been simulated using the Matlab/Simulink software and several simulation results are presented in order
to demonstrate the performance of the WECS under the examined start-up control techniques.
[C-22]
Mesemanolis A., Mademlis C., Kioskeridis I., “A Fuzzy-Logic Based Control Strategy for
Maximum Efficiency of a Wind Energy Conversion System”, Intern. Conf. Speedam’2012,
Sorrento, Italy, June 2012.
Christos Mademlis / Curriculum Vitae
May 2013
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In this paper, a control method for a Wind Energy Conversion System (WECS) utilizing a Squirrel
Cage Induction Generator (SCIG) is presented. Aims of the control are both maximum wind power harvesting and minimization of the SCIG power loss, thus achieving maximum pow¬er production on any
wind speed. The SCIG is connected to the utility grid through two back-to-back converters. The first
converter uses Field Oriented Control to regulate the speed and the excitation of the SCIG. The proposed
control system uses two Fuzzy-Logic Controllers that regulate the speed and excitation of the SCIG, implementing Maximum Power Point Tracking (MPPT) and Loss Minimization by regulating the speed of
the generator and the excitation respectively. Thus, maximum power is extracted by the wind and additionally, power output is increased by reducing the core loss of the generator. In order to improve the
slow response time of the flux-linkage to the d-axis current an additional control loop has been introduced that improves the response time of the flux-link-age. Several experimental results are displayed
that validate the operational improvements of the proposed control scheme.
[C-23]
Karakasis N., Mesemanolis A. and Mademlis C., “Wind Turbine Simulator for Laboratory
Testing of a Wind Energy Conversion Drive Train”, Intern. Conf. MedPower’2012, Cagliari, Italy, Sept. 2012.
This paper presents a wind turbine simulator for laboratory testing of a wind energy conversion
drive train that includes an electric generator, gear-box, electromagnetic brake, power electronic converters and controllers. The simulator consists of a 5.5-kW induction generator which is driven by a variable
speed inverter and a Programmable Logic Controller (PLC) that simulates the wind turbine power speed
characteristics. The simulator provides the required torque reference signal according to the wind speed
input and thus, it acts like a wind turbine to the energy conversion system. Moreover, the varia-tion of
wind direction and passive stall characteristics of the wind turbine could be simulated by incorporating
the above aerodynamic effects in the PLC control software. Thus, a Wind Energy Conversion System
(WECS) can be tested at the laboratory in wind steady-state and dynamic performance and also in standalone and grid connected configurations. The electric generator can be of any type of electric machines
and also various control techniques for the WECS can be applied. Thus, the aerodynamic effects of yaw
error, passive stall and wind turbulence on the power quality in stand-alone and grid connected wind generators can be examined. This paper reports the structure, operating principle of the developed simulator
and several experimental results are presented.
[C-24]
Mesemanolis A. and Mademlis C., “A Neural Network Based MPPT Controller for Variable Speed Wind Energy Conversion Systems”, Intern. Conf. MedPower’2012, Cagliari, Italy, Sept. 2012.
In this paper, an Artificial Neural Network (ANN) based Maximum Power Point Tracking (MPPT)
controller for Wind Energy Conversion Systems (WECS) is proposed, that achieves fast and reliable
tracking of the optimum rotational speed of the turbine and accomplishes maximum power harvesting
from the incident wind. The proposed control system can be implemented on any WECS and requires
minimum training for the ANN as well as a small number of artificial neurons. During the training of the
ANN, the WECS needs to operate simultaneously with a wind measurement system, until a sufficient
amount of data is collected on all operating regions of the wind turbine and the wind turbine characteristics are determined. Next, the ANN is trained, having the rotational speed of the shaft and the power output of the generator as input signals. As a result, the wind turbine can be driven to the optimum rotor
speed very fast and with high precision so as the MPPT controller can follow the fast dynamics of the
wind speed. Several simulation results are presented for the validation of the effectiveness of the suggested MPPT control scheme and demonstrate the operational improvements.
[C-25]
Mesemanolis A. and Mademlis C., “On-line estimation of induction generator parameters
using adaptive neuro-fuzzy inference systems for wind energy conversion systems”, Intern.
Conf. on Renewable Energies and Power Quality ICREPQ’13, Bilbao, Spain, March 2013.
This paper proposes a new method for online estimation of the induction generator parameters by
means of adaptive neuro-fuzzy inference systems (ANFIS). The suggested technique can be applied to
induction generators that are used in wind energy conversion systems (WECS). The WECS structure
Christos Mademlis / Curriculum Vitae
May 2013
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comprises a wind turbine, a three-phase induction generator and two back-to-back power converters. The
WECS provides electric energy to the utility grid through an LCL filter. The self-adjustment of the induction generator parameters provides accuracy in the implementation of the field oriented control and therefore accomplishes optimal operation on the WECS. The proposed method is simple and, since it does not
require time consuming off-line laboratory experiments, it can be easily applied to any wind energy system that is already in operation. Several simulation results will be presented in order to validate the theoretical considerations and demonstrate the operational improvements of the proposed system.
[C-26]
Mesemanolis A., Mademlis C., and kioskeridis I., “Wind Speed Sensorless Maximum Efficiency Control for Wind Energy Conversion Systems”, Intern. Conf. WindPower
AWEA’2013, Chicago, USA, May 2013.
A sensorless maximum efficiency control strategy for wind energy conversion systems (WECS)
with squirrel cage induction generators is presented. The developed control scheme provides optimal efficiency of the induction generator and maximum power extraction of the wind turbine. Additionally,
expansion of the exploitable wind speed region towards the lower-speed range is accomplished. A minimum electric loss controller (MEL) is introduced in order to minimize the generator electric loss and a
maximum power point tracking (MPPT) controller is used in order to maximize the wind turbine output
power. The controllers determine the optimal d- and q- axis stator current components of the induction
generator through optimal conditions. Therefore, quick dynamic response of the wind energy system is
accomplished so as it can follow the fast changes of the incident wind. The implementation of the suggested control scheme is cost-effective because the measurement of the wind speed is not required.
Moreover, neither the loss model of the induction generator nor the characteristic curves of the wind turbine curves are required. The effectiveness and the operational improvements of the suggested optimal
control system have been verified experimentally.
[C-27]
Mesemanolis A. and Mademlis C., “Self-Tuning Maximum Power Point Tracking Control
for Wind Generation Systems”, Inter. Conf. Clean Electrical Power, ICCEP’2013, Alghero, Italy, June 2013 (accepted).
In this paper, a new Maximum Power Point Tracking (MPPT) control scheme for wind generation
systems is proposed. A new procedure based on an adaptive neuro-fuzzy training technique is proposed
for the self-tuning of the MPPT controller parameters in order to compensate for the unmodeled nonlinearities and degradation due to mechanical aging of various parts of the wind turbine. The suggested control scheme can be easily implemented because neither the measurement of the wind speed nor the
knowledge of the wind turbine characteristics are required. Moreover, it has fast dynamic response and
thus it can follow the fast dynamics of the wind. The effectiveness and fast dynamic performance of the
proposed control scheme has been verified experimentally.
[C-28]
Mesemanolis A., Mademlis C. and Kioskeridis I., “Copper Loss Minimization in Combination with MPPT Control in a Wind Energy Conversion System with Induction Generator”, Inter. Conf. Clean Electrical Power, ICCEP’2013, Alghero, Italy, June 2013 (accepted).
In this paper, a control scheme for wind energy conversion systems (WECS) with induction generator is presented that is composed of a copper loss minimization (CLM) controller and a maximum power
point tracking (MPPT) controller. The CLM is accomplished by controlling the excitation current of the
induction generator and the MPPT control is attained by controlling the rotational speed of the wind turbine. The suggested control scheme can be easily implemented because, neither the measurement of the
wind speed nor the knowledge of the wind turbine characteristics are required. Moreover, it exhibits fast
dynamic response and thus, it can follow the fast dynamics of the wind. The generator is connected to the
power grid by means of two vector controlled back-to-back converters. Experimental results are presented to validate the cooperation of the CLM controller with the MPPT controller.
Christos Mademlis / Curriculum Vitae
May 2013
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