Observer-based reliable stabilization of uncertain linear systems subject to actuator faults, saturation, and bounded system disturbances

被引：20

作者：

Fan, Jinhua ^{[1
,2
]}

Zhang, Youmin ^{[2
]}

Zheng, Zhiqiang ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China

[2] Concordia Univ, Dept Mech & Ind Engn, Montreal, PQ H3G 1M8, Canada

来源：

ISA TRANSACTIONS | 2013年 / 52卷 / 06期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Reliable stabilization; Actuator saturation; Matrix inequality; Observer; Nonlinear programming; TOLERANT CONTROL; PERFORMANCE DEGRADATION; ROBUST-CONTROL; DESIGN; STABILITY;

D O I：

10.1016/j.isatra.2013.06.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A matrix inequality approach is proposed to reliably stabilize a class of uncertain linear systems subject to actuator faults, saturation, and bounded system disturbances. The system states are assumed immeasurable, and a classical observer is incorporated for observation to enable state-based feedback control. Both the stability and stabilization of the closed-loop system are discussed and the closed-loop domain of attraction is estimated by an ellipsoidal invariant set. The resultant stabilization conditions in the form of matrix inequalities enable simultaneous optimization of both the observer gain and the feedback controller gain, which is realized by converting the non-convex optimization problem to an unconstrained nonlinear programming problem. The effectiveness of proposed design techniques is demonstrated through a linearized model of F-18 HARV around an operating point. (C) 2013 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：730 / 737

页数：8

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