Actuator-fault Detection and Isolation based on Interval Observers and Invariant Sets

Feng Xu 1 Vicenc Puig 1 Carlos Ocampo-Martinez 1 Florin Stoican 2 Sorin Olaru 3, 4
1 UPC - Polytechnic University of Catalonia
2 UPB - University Politehnica of Bucharest [Romania]
3 DISCO - Dynamical Interconnected Systems in COmplex Environments
L2S - Laboratoire des signaux et systèmes, Inria Saclay - Ile de France, SUPELEC, CNRS - Centre National de la Recherche Scientifique : UMR8506
4 E3S - Supélec Sciences des Systèmes [Gif-sur-Yvette]
Abstract : This paper proposes an interval observer-based actuator fault detection and isolation (FDI) approach. An interval observer matching the healthy system mode is designed to monitor the system. When the system is in different modes, state or output interval vectors predicted by the interval observer manifest different dynamical behaviors. To guarantee reliable FDI, a collection of invariant set-based FDI conditions are established. Under these conditions, actuator faults can be accurately detected and isolated during the transition between different modes. At the end, the effectiveness of this proposed approach is presented by using a numerical example.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00918190
Contributor : Josiane Dartron <>
Submitted on : Friday, December 13, 2013 - 9:29:33 AM
Last modification on : Saturday, June 1, 2019 - 11:18:15 AM

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Feng Xu, Vicenc Puig, Carlos Ocampo-Martinez, Florin Stoican, Sorin Olaru. Actuator-fault Detection and Isolation based on Interval Observers and Invariant Sets. 52nd IEEE Conference on Decision and Control CDC 2013, Dec 2013, Firenze, Italy. pp.CD-Rom. ⟨hal-00918190⟩

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