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

fYear

1993

fDate

15-19 Nov 1993

Firstpage

2288

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IECON.1993.339434

Filename

339434