Adaptive fuzzy sliding mode control for nonlinear systems

Author

Shaocheng, Tong ; Tianyou, Chai ; Cheng, Shao

Author_Institution

Autom. Res. Center, Northeastern Univ., Liaoning, China

Volume

1

fYear

1996

fDate

8-11 Sep 1996

Firstpage

49

Abstract

This paper proposes a kind of adaptive fuzzy control scheme for a nonlinear system. In the design, we employ fuzzy systems to approximate nonlinear functions, then combine the sliding mode principle and Lyapunov function to obtain a stable adaptive controller. Furthermore, we apply fuzzy inference control to attenuate the chattering phenomenon being inherent in the conventional sliding mode controller, and prove that the closed-loop system is stable with the tracking error converging to a neighbourhood of zero

Keywords

Lyapunov methods; adaptive control; closed loop systems; control system synthesis; function approximation; fuzzy control; nonlinear systems; stability; variable structure systems; Lyapunov function; adaptive control; chattering phenomenon; closed-loop system; function approximation; fuzzy control; inference control; nonlinear systems; sliding mode control; stability; tracking error; Adaptive control; Control systems; Error correction; Fuzzy control; Fuzzy systems; Lyapunov method; Nonlinear control systems; Nonlinear systems; Programmable control; Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.551718

Filename

551718