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Communication Dans Un Congrès Année : 2016

Fault Detection using Set-Membership estimation based on Multiple Model systems

Résumé

This paper proposes a new Fault Tolerant Control technique based on the Multiple Models approach for linear systems with bounded perturbations and measurement noises. The consistency of each model with the measurements is checked at each sample time, using an ellipsoidal set-membership state estimation. A Min-Max Model Predictive Control is developed in order to find the optimal control and the best model in spite of the simultaneous presence of component and/or actuator and/or sensor faults. An illustrative example is analyzed in order to show the effectiveness of the proposed approach. Index Terms-FTC, FD, Multiple Models, set-membership state estimation, Min-Max MPC, uncertain linear systems.
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Dates et versions

hal-01390096 , version 1 (16-03-2020)

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  • HAL Id : hal-01390096 , version 1

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Sofiane Ben Chabane, Cristina Stoica Maniu, Eduardo Camacho, Teodoro Alamo, Didier Dumur. Fault Detection using Set-Membership estimation based on Multiple Model systems. 15th European Control Conference (ECC 2016), Jun 2016, Aalborg, Denmark. pp.1105-1110. ⟨hal-01390096⟩
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