Adaptive fuzzy sliding mode control for a class of uncertain dynamic systems

Author

Shaoyuan, Li ; Yugeng, Xi

Author_Institution

Inst. of Autom., Shanghai Jiaotong Univ., China

Volume

3

fYear

2000

fDate

2000

Firstpage

1849

Abstract

When a fuzzy controller is to be used, what is used is often a fuzzy sliding mode controller, because fuzzy logic systems (FLS) can be utilized to approximate complex uncertain dynamic nonlinear systems. In this paper an adaptive fuzzy sliding mode control (SMC) scheme in which FLS is used to approximate the unknown systems is proposed. In order to reduce the approximation errors between the true nonlinear function and FLS, an adaptive law is presented. The stability of the proposed control schemes are proved using Lyapunov stability theory. These proposed control schemes are applied to an inverted pendulum system to shown the effectiveness

Keywords

Lyapunov methods; adaptive control; approximation theory; fuzzy control; large-scale systems; nonlinear control systems; nonlinear dynamical systems; stability; uncertain systems; variable structure systems; FLS; Lyapunov stability theory; adaptive fuzzy sliding mode control; approximation error reduction; complex uncertain dynamic nonlinear system approximation; fuzzy logic systems; inverted pendulum system; uncertain dynamic systems; unknown systems; Adaptive control; Approximation error; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control; Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on

Conference_Location

Hefei

Print_ISBN

0-7803-5995-X

Type

conf

DOI

10.1109/WCICA.2000.862795

Filename

862795