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Adaptive fuzzy sliding mode control with chattering elimination for nonlinear SISO systems

被引：132
|
作者：
Ho, H. F. [1 ]
Wong, Y. K. [1 ]
Rad, A. B. [2 ]
机构：
[1] Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
[2] Simon Fraser Univ, Sch Engn Sci, Burnaby, BC V5A 1S6, Canada
来源：
SIMULATION MODELLING PRACTICE AND THEORY | 2009年 / 17卷 / 07期
关键词：
Nonlinear systems; Sliding mode control; Adaptive fuzzy control; TRACKING CONTROL; DESIGN;
D O I：
10.1016/j.simpat.2009.04.004
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This work presents an adaptive fuzzy sliding mode controller (AFSMC) that combines a robust proportional integral control law for use in designing single-input single-output (SISO) nonlinear systems with uncertainties and external disturbances. The fuzzy logic system is used to approximate the unknown system function and the AFSMC algorithm is designed by used of sliding mode control techniques. Based on the Lyapunov theory, the proportional integral control law is designed to eliminate the chattering action of the control signal. The simplicity of the proposed scheme facilitates its implementation and the overall control scheme guarantees the global asymptotic, stability in the Lyapunov sense if all the signals involved are uniformly bounded. Simulation studies have shown that the proposed controller shows superior tracking performance. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码：1199 / 1210
页数：12
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