Adaptive fuzzy sliding mode controller design

Author

Kung, Chung-Chun ; Kao, Tung-Yun ; Chen, Ti-Hung

Author_Institution

Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

674

Lastpage

679

Abstract

An adaptive fuzzy sliding mode controller is proposed. The distance-based fuzzy sliding mode controller (D-FSMC) design method is adopted in the design of the proposed controller. Therefore, the number of fuzzy rules can be greatly reduced Then, we adopt the integrated indirect-direct adaptive control algorithm to approximate the dynamics of the nonlinear plant and to adjust the parameters of D-FSMC. The stability of the suggested control system is proved via Lyapunov stability theorem

Keywords

Lyapunov methods; adaptive control; control system synthesis; fuzzy control; nonlinear control systems; variable structure systems; Lyapunov stability theorem; adaptive fuzzy sliding mode controller design; distance-based fuzzy sliding mode controller; dynamics; fuzzy rules; integrated indirect-direct adaptive control algorithm; nonlinear plant; Adaptive control; Control systems; Design methodology; Fuzzy control; Fuzzy logic; Input variables; Nonlinear control systems; Programmable control; Robust control; Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7280-8

Type

conf

DOI

10.1109/FUZZ.2002.1005073

Filename

1005073