VINOD. J
T.S.no: 6088/1, plot no:2,
Charles Nagar Extn.,
Pudukkottai (TN)
India
Contact no.: 094435 07479
Email: vinodjoseph5587@gmail.com
Professional Summary:
 Ph.D. holder in the title, Design and analysis of controller for electrohydraulically
actuated inlet guide vane system of Francis turbine from the Mechanical Engineering
department, NIT Meghalaya, India.
 Worked as Senior research fellow (SRF) in the DST SERB project titled Modelling the
hydraulically actuated ring inlet guide vane of Francis turbine by adaptive neural
network sliding mode controller design in Mechanical Engineering department, NIT
Meghalaya from Jan 2017- till project completion.
 Worked as a Graduate apprentice at Gas Turbine Research Establishment (GTRE) in
Bangalore for a period of 11 months.
 Undergone post-graduate project work at Tuticorin thermal power station (TTPS) titled
Energy and Exergy Analysis of the steam turbine in thermal power plant.
Software proficiency:
 MatlabSimulink
 LabView
 AutoCAD
 CATIA
Research area:
 Adaptive control
 Neural networks, Fuzzy-logic and Neurofuzzy
 Model based control
 Thermal engineering
 Nonlinear system dynamics and control
Summary of the Ph.D. work:
Hydropower system has great attention due to the cheapest and simplest renewable power generation,
available potential, and environmental concern. Francis turbine (FT) has a wide operating range
compared to other hydro turbine runners. In the present study, a detailed mathematical model of the
Francis turbine for single stand-alone and multiple turbine systems has been developed based on the
Eulers equation of turbomachinery along with the nonlinearities characteristics of the IGV actuation
system, FT flow, and generator runner coupling. The nonlinear behavior of the inlet guide vane
system due to the dead band, compressibility, friction characteristics, and mass moment of inertia of
the IGV blades and its ring has been considered briefly in the Francis turbine model. Apart from the
single FT model, the multiple Francis turbine modeling has also been developed considering common
penstock sharing water flow through the branches. During hydroelectric plant operation, the speed
controller should restrict the turbine speed within small changes without causing any severe or
permanent alterations and retracts back to the rated speed in a short period to synchronize with the
grid's electrical frequency. The simulation study was performed in a MatlabSimulink environment. A
Fuzzy feedforward-PID bias, an Artificial neural network (ANN), Gaussian radial basis function
neural network (GRBFNN) two-degree of freedom proportional integral derivative (PID) controller
has been developed based on the model-free approach for Francis turbine active power/speed control.
Sliding mode controller design is most attractive among the nonlinear controller design as easy to
implement and robust. The model-based control approach is performed by developing various sliding
mode controllers, i.e., integral sliding mode control with Lynapov reaching law and a fast nonsingular
terminal sliding mode controller with adaptive reaching law. A decentralized concurrent neurofuzzy
controller for online estimation of control parameters has been proposed for speed control in multiple
coupled Francis turbines sharing a single penstock. In a laboratory-scale Francis turbine, characteristic
experiments have been performed, and parameter identification has been executed to achieve their
algebraic representation through Real Coded Genetic Algorithm optimization. The real-time control
has been performed in LabView connected with a data acquisition system (cRio). A fuzzy-tuned PI
controller with nonlinear compensation of the valve deadband has been used for tracking an actuation
demand extracted for imposed power disturbances based on the identification output. A terminal
sliding mode reaching law terminal sliding mode controller (TSMRL-TSMC) and adaptive terminal
sliding mode reaching law terminal sliding mode controller (ATSMRL-TSMC) are designed for Lab.
scale hydro turbine system control experimentally. Performances of the TSMRL-TSMC and
ATSMRL-TSMC controller compared with contemporary reported fuzzy adaption PID controller for
the same system.
Summary of the Masters Thesis work
The work titled Energy and Exergy analysis of steam turbine in thermal powerplant
is
performed at unit-III in Tuticorin Thermal Power Station (TTPS) with the capacity of 210MWe to
conduct the performance analysis for various operating conditions. The performance analysis is based
on energy, exergy and turbine heat rate criteria. The first law or energy analysis is based on only the
quantity, so there is a need to identify the losses based on its quality wise. This comprehensive
analysis will indicate the magnitude and location of the irreversibility in the turbine system. It briefly
identifies the causes of irreversibility and sources to rectify it. The results bring out the opportunities
to improve the performance of the turbine system.
Journals
1. J. Vinod, B.K Sarkar, Francis turbine electrohydraulic inlet guide vane control by artificial neural
network 2 degree-of-freedom PID controller with actuator fault, Proc. IMechE Part I: Journal of
Systems and Control Engineering (2020), 1-16. online: 10.1177/0959651820973797 [ Published].
2. J. Vinod, B.K Sarkar, D. Sanyal. Flow control in a small Francis turbine by system identification
and fuzzy adaptation of PID and deadband controllers, Renewable energy (2022), 201, 87-99. online:
https:\\doi.org/10.1016/j.renene.2022.11.039 [ Published].
3. J. Vinod, B.K Sarkar, Model predictive Proportional Integral Derivative Feedforward sliding mode
controller design for Francis turbine control. [Under Review: Advances in Mechanical Engineering,
Sage publication].
4. J. Vinod, B.K Sarkar, A. Chatterjee, LVDT Sensing Based Francis Turbine System Control: A Fast
Nonsingular Terminal Sliding Mode Approach. [Under Review: Renewable Energy]
5. J. Vinod, B.K Sarkar, Decentralized concurrent neurofuzzy-PI controller for speed control in a
coupled multiple Francis turbine system. [Under Review: Applied Intelligence, Springer]
Conferences
1. J. Vinod, P. Venkaiah, B K. Sarkar, Francis turbine IGV control under force estimation.
INCOM18-40, INCOM18: Proceedings of the 1st International Conference on Mechanical
Engineering, Jadavpur University Kolkata India January 4 – 6, 2018.
2. J. Vinod, B. K. Sarkar, S Mookherjee, D Sanyal, Active Power Control of the Francis Turbine
System by Model Free Adaptive Controller, Paper No. : 372, IC-RIDME, 1st International Conference
on Mechanical Engineering, National Institute of Technology Meghalaya, Shillong, India, November
8 – 10, 2018.
3. J. Vinod J, P. Kumar, B. K. Sarkar, Modelling of the multiple Francis turbine by velocity diagram
for speed control application, 10th TSME International Conference on Mechanical Engineering,
10th– 13th December 2019, Pattaya, Thailand.
4. J. Vinod, B. K. Sarkar, Integral sliding mode controller design for electrohydraulic IGV system,
TFRE-20, NIT Arunachal Pradesh in collaboration with Knowledge Incubation Cell for TEQIP (KIT),
IIT Guwahati, NIT Mizoramand NIT Nagaland, during 26th – 28th November 2020.
Educational Qualification:
Course
Ph.D
Specialization
School/
Board/
Year of
Percentage/
College
University
passing
CGPA
Mechanical
National
National
2023
-
Engg.
Institute of
Institute of
Technology
Technology
Meghalaya
Meghalaya
M.E
Thermal Engg.
Anna
Anna
University of
University
2012
8.0
2009
64
2005
83
2003
80
Technology,
Tirunelveli.
B.E
Aeronautical Engg.
HSC
Maths and Science
Sathyabama
Sathyabama
University
University
Vairams
Tamil Nadu
School,
State Board
Pudukkottai.
SSLC
Mount Zion
Matriculation
School,
Pudukkottai.
Certified courses:
 Certified MCADD (Master Diploma in Mechanical CADD) professional.
 Trained at IIT Kanpur (Flight Experiments).
Personal profile:
Date of birth
:
5th May 1988
Gender
:
Male
Father's Name
:
L. Joseph Raj (Late)
Mother's Name
:
Antoni Xavier papa
Nationality
:
Indian
Languages Known :
English, Tamil
Declaration:
I hereby declare that the details furnished above are true to the best of my knowledge, and I
bear the responsibility for the correctness of the particulars mentioned above.
Place: Shillong, India
Yours Sincerely
Date: 13/08/2023
(VINOD.J)