Fault detection based on multi-objective observer and interval hull computation

Abstract : The design of a novel sensor fault detection scheme for discrete-time linear time-invariant systems with unknown but bounded uncertainties is proposed in the paper. To make the residual sensitive to fault and robust against the unknown disturbance and measurement noise, we propose a multi-objective fault detection observer method based on the criteria of H- index and P-radius and further present an iterative LMI method to solve the observer design problem. In the design of residual evaluation, we propose a threshold computation method via the interval hull approximation of the residual reachable set. The merit of the proposed method is that its threshold computation exhibits less conservatism and higher computational efficiency than the zonotope-based method. Simulations are conducted to demonstrate the superiority of the proposed method.
Type de document :
Communication dans un congrès
10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2018, Aug 2018, Varsaw, Poland. 2018
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Soumis le : samedi 1 septembre 2018 - 16:16:27
Dernière modification le : jeudi 7 février 2019 - 16:41:40
Document(s) archivé(s) le : dimanche 2 décembre 2018 - 12:49:50

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  • HAL Id : hal-01859222, version 1

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Wentao Tang, Zhenhua Wang, Yi Shen, Mickael Rodrigues, Didier Theilliol. Fault detection based on multi-objective observer and interval hull computation. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2018, Aug 2018, Varsaw, Poland. 2018. 〈hal-01859222〉

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