A GA-based Sugeno-type fuzzy logic controller for the cart-pole system

Author

Shieh, M.-Y. ; Huang, C.-W. ; Li, T.-H.S.

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

3

fYear

1997

fDate

9-14 Nov 1997

Firstpage

1028

Abstract

In this paper, the genetic algorithms (GAs) are applied to find out the nearly optimal fuzzy rule-base for Sugeno-type fuzzy logic controllers (S-FLC). Basically, S-FLC is a model-based fuzzy controller with a fuzzy model identified by input-output data of an objective system. Unlike the traditional FLC, the rule number of S-FLC is drastically reduced. A GA-based S-FLC is proposed for balancing the inverted pendulum, where GAs are utilized to decide the coefficients of control rules without identifying a fuzzy model. The computer simulations depict the validity of the control method and better performance is obtained by using a genetic algorithm

Keywords

control system synthesis; fuzzy control; genetic algorithms; pendulums; Sugeno-type fuzzy logic controller; cart-pole system; computer simulations; genetic algorithms; input-output data; inverted pendulum; nearly optimal fuzzy rule-base; Automatic control; Control systems; Design methodology; Equations; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Intelligent control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3932-0

Type

conf

DOI

10.1109/IECON.1997.668420

Filename

668420