Title :
Autotuning for fuzzy-PI control using genetic algorithm
Author :
Hsu, Yuan-Pao ; Tsai, Ching-Chih
Author_Institution :
Dept. of Electron. Eng., Wu-Feng Inst. of Technol. & Commerce, Taiwan, China
Abstract :
The paper presents a methodology in applying genetic search techniques to automatically select a proper triangular membership function for fuzzy logic based PI controllers. The approach produces a novel type of fuzzy-PI controllers with guaranteed stability property and the desired performance specified by the more general performance criterion. The control approach is suitable for linear systems as well as a class of nonlinear unstable plant studied by Tseng et al. Numerical simulation results show that the better membership functions can be obtained and the resultant hierarchical fuzzy-PI controller outperforms the fix-valued PI controller
Keywords :
control system analysis; controllers; fuzzy control; genetic algorithms; self-adjusting systems; stability; two-term control; fix-valued PI controller; fuzzy-PI control autotuning; genetic algorithm; genetic search techniques; linear systems; membership functions; nonlinear unstable plant; resultant hierarchical fuzzy-PI controller; stability property; triangular membership function; Automatic control; Control systems; Fuzzy control; Fuzzy logic; Genetic algorithms; Nonlinear control systems; Pi control; Proportional control; Servomechanisms; Three-term control;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
DOI :
10.1109/IECON.1996.571025
