T-S Fuzzy-Model-Based Output Feedback Tracking Control With Control Input Saturation

被引:71
作者
Yu, Yan [1 ]
Lam, Hak-Keung [1 ]
Chan, Kit Yan [2 ]
机构
[1] Kings Coll London, Dept Informat, London WC2B 4BG, England
[2] Curtin Univ, Sch Elect Engn Comp & Math Sci, Perth, WA 6845, Australia
关键词
Control input saturation; H-infinity performance; linear matrix inequalities (LMIs); membership function dependent (MFD); output feedback; stability analysis; tracking control; DEPENDENT STABILITY ANALYSIS; NONLINEAR-SYSTEMS; SCHEDULING CONTROL; CONTROL DESIGN; IDENTIFICATION; STABILIZATION; PERFORMANCE; SUBJECT;
D O I
10.1109/TFUZZ.2018.2835761
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper investigates the output feedback tracking control for a fuzzy-model-based (FMB) control system when the control input is saturated, where the FMB is developed based on a T-S fuzzy model and a fuzzy controller. The controller is employed to close the feedback loop and generate the system to trace the trajectory of the states of a stable reference model subject to H-infinity performance. To enhance the fuzzy controller design flexibility, the number of rules and premise membership functions can be adjusted. Stability analysis for the FMB control system is performed based on Lyapunov stability theory. To address the control input saturation problem, linear sectors are created by local linear upper and lower bounds to include the possible control area. Hence, the nonlinear saturation problem can be tackled by the stability analysis of linear sectors. The membership-functions-dependent technique is used to bring the information and address the nonlinearity of embedded membership functions into the stability analysis. The numerical simulation example demonstrates the effectiveness of the proposed approach and discusses the effect of H-infinity performance and control input saturation rate according to the tracking result.
引用
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页码:3514 / 3523
页数:10
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