Dicle Üniversitesi - Mühendislik Fakültesi
Elektrik Elektronik Mühendisliği Bölümü
FUZZY SYSTEMS AND FUZZY CONTROL
COURSE TITLE
COURSE CODE
COURSE TYPE
COURSE SEMESTER
COURSE CREDIT
DEPARTMENT
LEVEL
FACULTY MEMBER/MEMBERS THAT
GIVE THE COURSE
FUZZY SYSTEMS AND FUZZY CONTROL
GIVEN LANGUAGE
Elective
APPLICATIONS
Fall
15 weeks
3
ECTS
Electrical & Electronics Engineering
Graduate
Assistant Professor Doctor Bilal GÜMÜŞ
Turkish
45 hours
6
Dicle University Faculty of Art and Science Department of Electrical and
Electronics Engineering
POSTAL ADDRESS
21280 Diyarbakır, Tel:(+90) 412 2488402 (x.3561), Fax: (+90) 412
2488405, bilgumus@dicle.edu.tr, url: http://www.dicle.edu.tr/~ee
AIMS OF THE COURSE, LEARNING OUTCOMES, LEARNING METHODS, TEACHING AND LEARNING
MATERIALS
Currently intelligent, and expert systems have a wide application area in
many engineering discipline. Since intelligent or expert system s imitate
human intelligence, fuzzy logic and its theory and applications become very
important for those systems. Also fuzzy logic applications find a great
AIMS OF THE COURSE
application area in automation, and robotic systems. For these reason in
this lecture it is aimed to teach fuzzy logic and its applications in control
instead of classical control methods.
LEARNING OUTCOMES OF THE COURSE
Introduction to fuzzy sets: fuzzy numbers, measures, membership functions,
relation equations. Fuzzy controllers: basic blocks, fuzzification, inference
mechanisms, defuzzification, rule-base generation, input/output scaling
factors. Analysis of static and dynamic properties of fuzzy logic controllers.
ACQUIRED KNOWLEDGE
Fuzzy Proportional-Integral-Derivative (PID) controllers. Gain scheduling of
fuzzy PID parameters. Fuzzy Sliding Mode Controllers (FSMC). Fuzzy
identification and modeling of control systems: Mamdani and TakagiSugeno type modeling. Applications from control systems.
ACQUIRED CAPABILITIES
Be able to design fuzzy systems and fuzzy control systems.
TEACHING METHODS
Theoretical teaching is supported by problem solving
TEACHING MATERIALS
Recommended textbooks , data show, internet
GRADING AND EVALUATION
The student will be graded according to one written midterm and one written
PROCEDURES FOR THE COURSE
final exams.
COURSE CONTENTS AND PLANNING
WEEK
THEORY
APPLICATION
1
İntroductions
2
The Basisc of Fuzzy Control
3
Linguistic Variables, Values and Rules
4
Fuzzy Sets, Fuzzy logic and the Rule-Base
5
Fuzzification and Defuzzification
6
Simple Desing Example
7
Simulation of fuzzy control systems
8
Case Studies in Desing and implementation
9
Case Studies in Desing and implementation
10
Parameterized Fuzzy Controllers
11
Exam
Home works
12
Fuzzy Supervisory Control, Supervision of Conventional Controllers
13
Supervision of Fuzzy Controllers Perspective on fuzzy Control
14
Fuzzy versus conventional control
15
Fuzzy versus conventional control
Textbooks and Recommended reading
1
H. T. Nguyen, M. Sugeno, Fuzzy Systems Modelling and Control, Kluwer, 1998.
2
W. Pedrycz, Fuzzy Control and Fuzzy Systems, Research Studies Press and John Wiley, 2nd ed.1992
3
M.J. Patyra, D. M. Mlynek, Fuzzy logic: Implementation and Applications, Wiley and Teubner, 1996.
4
D. Driankov, H. Hellendorn, M. Reinfrank, An Introduction to Fuzzy Control, Springer Verlage, 1993
5
Li-Xin Wang, A Course in Fuzzy Systems and Control, Prentice hall,1997
EXAMS
The requirements for this course are 70% of attendance in lectures and tutorials and an average mark
of 80/100 taken from at least two written exams, an interim (30%) and a final (70%)
Dicle Üniversitesi – Mühendislik Fakültesi - Elektrik Elektronik Mühendisliği Bölümü - 21280 – Diyarbakır
Tel: +90 412 248 80 30 (Bölüm Sekreterliği Dahili 3539)
http://www.dicle.edu.tr/bolum/Muh/elekmuh/elek.html