Title :
Design of optimum fuzzy controller using genetic algorithms
Author :
Eksin, Ibrahim ; Erol, Osman Kaan
Author_Institution :
Dept. of Control & Comput. Eng., Tech. Univ. Istanbul, Turkey
Abstract :
This paper describes a new method for determining optimal fuzzy controller decision table. By the use of genetic algorithm the need for heuristic fuzzy rules is omitted. The advantages and limitations of the method described are discussed. Simulations have been carried out to demonstrate the effectiveness of the new method, and the results are compared with a classical PID controller to show the improvement in performance
Keywords :
fuzzy control; control design; decision table; fuzzy control; genetic algorithm; optimal control; Algorithm design and analysis; Automatic control; Control systems; Fuzzy control; Genetic algorithms; Nonlinear control systems; Organisms; Process control; Shape control; Three-term control;
Conference_Titel :
Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
Conference_Location :
Bari
Print_ISBN :
0-7803-3109-5
DOI :
10.1109/MELCON.1996.550988
