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		Zhanshan WANG,Huaguang ZHANG.[en_title][J].Control Theory and Technology,2006,4(3):245~251.[Copy]

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ZhanshanWANG,HuaguangZHANG
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Received:April 25, 2005Revised:March 22, 2006

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Robust fault diagnosis for a class of nonlinear systems

Zhanshan WANG, Huaguang ZHANG

(School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, China; School of Information Science and Engineering, Shenyang Ligong University, Shenyang Liaoning 110168, China)

Abstract:

Robust fault diagnosis based on adaptive observer is studied for a class of nonlinear systems up to output injection. Adaptive fault updating laws are designed to guarantee the stability of the diagnosis system. The upper bounds of the state estimation error and fault estimation error of the adaptive observer are given respectively and the effects of parameter in the adaptive updating laws on fault estimation accuracy are also discussed. Simulation example demonstrates the effectiveness of the proposed methods and the analysis results.

Key words: Nonlinear system Fault diagnosis Adaptive observer Adaptive updating law H-infinity performance