Dimensional-varying integral sliding mode controller design for uncertain Takagi-Sugeno fuzzy systems

被引：9
|
作者：
Zhang, Jian [1 ]
Wu, Wen-Jie [1 ]
Xie, Wen-Bo [2 ,3 ]
Peng, Chen [2 ]
机构：
[1] Harbin Engn Univ, Coll Power & Energy Engn, Harbin 150001, Peoples R China
[2] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai 100444, Peoples R China
[3] Harbin Univ Sci & Technol, Coll Automat, Harbin 150080, Peoples R China
来源：
INFORMATION SCIENCES | 2021年 / 565卷
基金：
中国国家自然科学基金;
关键词：
Takagi-Sugeno fuzzy system; Sliding mode control; Control input matrix; Membership function; DEPENDENT STABILITY ANALYSIS; STABILIZATION; OBSERVER;
D O I：
10.1016/j.ins.2021.02.062
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An integral sliding mode control method for uncertain Takagi-Sugeno fuzzy systems is investigated in this paper. Considering the time-varying property of the fuzzy system control matrix, a dimensional-varying integral sliding mode controller is proposed. With a membership function piecewise linearization technique, the gain matrices of equivalent control law are derived. Then a dimension switching sliding model control scheme is designed to close the control loop. As a result, traditional restrictions on input matrix can be further relaxed. Finally, a numerical and a Diesel Engine Air-Path control examples are provided to certificate the merits and effectiveness of the proposed approach. (c) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码：77 / 90
页数：14
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