Design of a fault diagnosis scheme for a class of singular nonlinear systems

被引：2
|
作者：
Yao L. [1 ]
Wang H. [2 ,3 ,4 ]
机构：
[1] School of Electrical Engineering, Zhengzhou University, Zhengzhou
[2] Control Systems Centre, University of Manchester
[3] Institute of Automation, Chinese Academy of Sciences
[4] Institute of Automation, Northeastern University, Shenyang
来源：
Journal of Control Theory and Applications | 2008年 / 6卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Adaptive update rules; Fault detection; Fault diagnosis; Nonlinear systems; Singular;
D O I：
10.1007/s11768-008-6144-9
中图分类号：
N94 [系统科学]; C94 [];
学科分类号：
0711 ; 081103 ; 1201 ;
摘要：
A new fault detection and diagnosis approach is developed in this paper for a class of singular nonlinear systems via the use of adaptive updating rules. Both detection and diagnostic observers are established, where Lyapunov stability theory is used to obtain the required adaptive tuning rules for the estimation of the process faults. This has led to stable observation error systems for both fault detection and diagnosis. A simulated numerical example is included to demonstrate the use of the proposed approach and encouraging results have been obtained. © 2008 Editorial Board of Control Theory and Applications, South China University of Technology and Springer-Verlag GmbH.
引用
收藏
页码：122 / 126
页数：4
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