摘要: |
|
关键词: |
DOI: |
Received:August 24, 2006Revised:May 18, 2007 |
基金项目: |
|
Design of a fault diagnosis scheme for a class of singular nonlinear systems |
Lina YAO, Hong WANG |
(School of Electrical Engineering, Zhengzhou University, Zhengzhou Henan 450001, China; Control Systems Centre, University of Manchester, Manchester M60 1QD, United Kingdom; Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China; Institute of Automation, Northeastern University, Shenyang Liaoning 110006, China) |
Abstract: |
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. |
Key words: Fault detection Fault diagnosis Singular Nonlinear systems Adaptive update rules |