Fault-tolerant control for a class of nonlinear sampled-data systems via a Euler approximate observer

被引：114

作者：

Mao, Zehui ^{[1
]}

Jiang, Bin ^{[1
]}

Shi, Peng ^{[2
,3
,4
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China

[2] Univ Glamorgan, Dept Comp & Math Sci, Pontypridd CF37 1DL, M Glam, Wales

[3] Victoria Univ, Sch Sci & Engn, Melbourne, Vic 8001, Australia

[4] Univ S Australia, Sch Math & Stat, Adelaide, SA 5095, Australia

来源：

AUTOMATICA | 2010年 / 46卷 / 11期

基金：

英国工程与自然科学研究理事会;

关键词：

Fault-tolerant control; Fault estimation; Adaptive control; Nonlinear sampled-data systems; DISCRETE-TIME MODELS; SUFFICIENT CONDITIONS; STABILIZATION; STABILITY; DESIGN; ACCOMMODATION; FRAMEWORK; FEEDBACK;

D O I：

10.1016/j.automatica.2010.06.052

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a fault-tolerant control (FTC) scheme is developed for a class of nonlinear sampled-data systems. First, a Euler approximate discrete model is used to describe the plant under the sampling. Under this model, an observer-based fault estimation method is proposed. To guarantee the accuracy of both the state and fault estimation values, the conditions to make the approximate model consistent with the exact model are presented. Then, an active fault-tolerant controller, which has a constraint condition for the sampling time, is designed to make the faulty system stable. Finally, an inverted pendulum is used to show the efficiency of the proposed method. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：1852 / 1859

页数：8

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