Robust fault detection and diagnosis for uncertain nonlinear systems

被引：0

作者：

Wang Wei ^{[1
]}

Hameed, Tahir ^{[1
]}

Ren Zhang ^{[1
]}

Zhou Kemin ^{[2
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China

[2] Louisiana State Univ, Dept Elect & Comp Engn, Baton Rouge, LA 70803 USA

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2009年 / 20卷 / 05期

基金：

中国国家自然科学基金;

关键词：

nonlinear system; robust fault detection and diagnosis; singular value; flight control system; OBSERVER;

D O I：

暂无

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 considers robust fault detection and diagnosis for input uncertain nonlinear systems. It proposes a multi-objective fault detection criterion so that the fault residual is sensitive to the fault but insensitive to the uncertainty as much as possible. Then the paper solves the proposed criterion by maximizing the smallest singular value of the transformation from faults to fault detection residuals while minimizing the largest singular value of the transformation from input uncertainty to the fault detection residuals. This method is applied to an aircraft which has a fault in the left elevator or rudder. The simulation results show the proposed method can detect the control surface failures rapidly and efficiently.

引用

页码：1031 / 1036

页数：6

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