Title :
A design method of MRACS with fuzzy adaptive control rules using genetic algorithms
Author :
Suzuki, Takumi ; Shida, Koichiro ; Fujikawa, Hideji ; Yamada, Shin-ichi
Author_Institution :
Fuji Xerox Corp., Tokyo, Japan
Abstract :
Presents a design method for a model reference adaptive control system (MRACS) with fuzzy adaptive control rules for a time-delay system. First, the authors choose the reference model whose output response is regarded as ideal. Second, the authors discuss the stability of the control system by drawing the root locus of the characteristic equation. Third, the authors apply the control system to a plant represented by a transfer function model, and tune fuzzy adaptive control rules by means of genetic algorithms. The resulting rule set is remarkably better than a conventional hand constructed one
Keywords :
control system synthesis; delays; fuzzy control; genetic algorithms; model reference adaptive control systems; root loci; transfer functions; MRACS; characteristic equation; design method; fuzzy adaptive control rules; genetic algorithms; model reference adaptive control system; output response; root locus; time-delay system; transfer function model; Adaptive control; Control system synthesis; Control systems; Design methodology; Equations; Fuzzy control; Fuzzy systems; Genetic algorithms; Stability; Transfer functions;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
DOI :
10.1109/IECON.1993.339434