Adaptive sliding mode controller design based on T-S fuzzy system models

被引：71

作者：

Cheng, CC ^{[1
]}

Chien, SH ^{[1
]}

机构：

[1] Natl Sun Yat Sen Univ, Dept Elect Engn, Kaohsiung 80424, Taiwan

来源：

AUTOMATICA | 2006年 / 42卷 / 06期

关键词：

T-S fuzzy system model; adaptive control; sliding-mode control; Lyapunov stability;

D O I：

10.1016/j.automatica.2006.02.016

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Ail adaptive sliding mode control (ASMC) technique based on T-S fuzzy system models is proposed in this paper for a class of perturbed nonlinear MIMO dynamic systems in order to solve tracking problems. A T-S fuzzy model is firstly formed by utilizing fuzzy theorem to amalgamate a set of linearized dynamic equations. The adaptive sliding mode controller is then designed based on this fuzzy model with perturbations. The proposed control scheme can drive the dynamics of controlled system into a designated sliding surface in finite time, and guarantee the property of asymptotical stability. It is also shown that the information of upper bound of modeling errors as well as perturbations, except the information of upper bound of input uncertainty, is not required when using the proposed controller. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：1005 / 1010

页数：6

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