Author： Jiang Bin Staroswiecki Marcel
Publisher： Taylor & Francis Ltd
ISSN： 1464-5319
Source： International Journal of Systems Science, Vol.33, Iss.9, 2002-07, pp. : 767-775
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Abstract
In this article, fault diagnosis for a class of linear systems based on adaptive observer is investigated. Linear systems without model uncertainty are first considered, and two adaptive observers are designed for fault identification. The first one uses optimal design for minimizing the estimation error. The second one can achieve asymptotic fault estimation. The general situation where the system is subjected to either model errors or external disturbance is then discussed. Robust adaptive control techniques are applied to guarantee the convergence to a bounded set. Simulation of sensor fault diagnosis for an induction motor is presented to verify the effectiveness of the proposed method.
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