Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T-S Fuzzy Approach

被引：621
|
作者：
Li, Hongyi [1 ]
Yu, Jinyong [2 ]
Hilton, Chris [3 ]
Liu, Honghai [1 ]
机构：
[1] Univ Portsmouth, Sch Creat Technol, Intelligent Syst & Biomed Robot Grp, Portsmouth PO1 2DJ, Hants, England
[2] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150080, Peoples R China
[3] Protean Elect Ltd, Farnham GU10 5EH, Surrey, England
来源：
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2013年 / 60卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Active suspension systems; H-infinity control; sliding-mode control; Takagi-Sugeno (T-S) fuzzy model; H-INFINITY CONTROL; TIME-DELAY; CAR MODEL; FEEDBACK; DESIGN;
D O I：
10.1109/TIE.2012.2202354
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the adaptive sliding-mode control problem for nonlinear active suspension systems via the Takagi-Sugeno (T-S) fuzzy approach. The varying sprung and unsprung masses, the unknown actuator nonlinearity, and the suspension performances are taken into account simultaneously, and the corresponding mathematical model is established. The T-S fuzzy system is used to describe the original nonlinear system for the control-design aim via the sector nonlinearity approach. A sufficient condition is proposed for the asymptotical stability of the designing sliding motion. An adaptive sliding-mode controller is designed to guarantee the reachability of the specified switching surface. The condition can be converted to the convex optimization problems. Simulation results for a half-vehicle active suspension model are provided to demonstrate the effectiveness of the proposed control schemes.
引用
收藏
页码：3328 / 3338
页数：11
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