Fault detection and estimation for nonlinear systems with linear output structure

✍ Scribed by Hong Wang; Ling Shen

• Publisher: John Wiley and Sons
• Year: 2005
• Tongue: English
• Weight: 139 KB
• Volume: 19
• Category: Article
• ISSN: 0890-6327
• DOI: 10.1002/acs.861

✦ Synopsis

Abstract

In this paper, a new formulation of fault detection and estimation algorithm has been presented for a class of known nonlinear dynamic systems with a linear output structure. Under certain assumptions on the nonlinear dynamics of the system and its model uncertainty, an adaptive observer‐based approach is established so as to construct several effective residual signals that can be used to perform the required fault detection and estimation. A parameter dependent Lyapunov function is used to formulate a set of adaptive tuning rules for the time‐varying parameters involved in both the adaptive observer and the fault estimation error. It has been shown that the algorithms can be applied to estimate both constants and slow‐drifting faults with convergent residual signals. A simple simulation example is included to illustrate the use of the proposed methods and encouraging results have been obtained. Copyright © 2004 John Wiley & Sons, Ltd.