GA-based design of a region-wise fuzzy sliding mode controller

Author

Kung, Chung-Chun ; Lai, Wei-Chi

Author_Institution

Dept. of Electr. Eng., Tatung Inst. of Echnology, Taipei, Taiwan

Volume

2

fYear

1999

fDate

9-12 May 1999

Firstpage

971

Abstract

A region-wise fuzzy sliding mode controller is proposed. In the process of designing the proposed controller, we firstly employ the sliding mode control techniques to design the fuzzy control rules, and to obtain the fuzzy sliding mode controller. Secondly, we adopt the concepts of a region-wise linear fuzzy controller to design the fuzzy sliding mode controller, namely the region-wise fuzzy sliding mode controller. Then based on the state values of the controlled plant, a fuzzy tuner is used to tune the scaling factor for the output of the region-wise fuzzy sliding mode controller. Finally, a genetic algorithm is applied to search the optimal parameters of the region-wise fuzzy sliding mode controller and the fuzzy tuner. The simulation results show that the proposed region-wise fuzzy sliding mode controller exhibits better performance than that of fuzzy sliding mode controller.

Keywords

control system synthesis; fuzzy control; genetic algorithms; variable structure systems; GA-based design; fuzzy control rules; region-wise fuzzy sliding mode controller; Control systems; Force control; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Input variables; Optimal control; Sliding mode control; Tuners;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1999 IEEE Canadian Conference on

Conference_Location

Edmonton, Alberta, Canada

ISSN

0840-7789

Print_ISBN

0-7803-5579-2

Type

conf

DOI

10.1109/CCECE.1999.808166

Filename

808166