Title :
Population diversity based genetic algorithm for fuzzy control of synchronous generators
Author :
Wen, J.Y. ; Wu, Q.H. ; Shimmin, D.W. ; Turner, D.R. ; Cheng, S.J.
Author_Institution :
Dept. of Electr. Eng. & Electron., Liverpool Univ., UK
Abstract :
This paper proposes a method to design an optimal fuzzy controller for excitation control of synchronous generators. The design is based on optimizing a number of parameters involved in the fuzzy and defuzzification process directly. A population diversity based genetic algorithm is derived to solve this multi-parameter optimization problem. The new method has been used to design an optimal fuzzy excitation controller for synchronous generator, satisfactory results are obtained
Keywords :
control system synthesis; exciters; fuzzy control; genetic algorithms; machine control; optimal control; synchronous generators; defuzzification; excitation control; fuzzy control; genetic algorithm; optimal control; parameter optimization; population diversity; synchronous generators; Control systems; Design methodology; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Optimal control; Signal design; Synchronous generators;
Conference_Titel :
Computer Aided Control System Design, 1999. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Kohala Coast, HI
Print_ISBN :
0-7803-5500-8
DOI :
10.1109/CACSD.1999.808699
