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Communication Dans Un Congrès Année : 2009

State and sensor faults estimation via a proportional integral observer

Résumé

This paper deals with the problem of fault detection and identification in noisy systems. A proportional integral observer with unknown inputs is used in order to reconstruct state and sensors faults. A mathematical transformation is made to conceive an augmented system, in which the initial sensor fault appear as an unknown input. This reconstruction is made by the use of a proportionnel integral observer. The noise effect on the state and fault estimation errors is also minimized. The obtained results are then extended to nonlinear systems described by nonlinear Takagi-Sugeno models.
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Dates et versions

hal-00376446 , version 1 (10-04-2014)

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Atef Kheder, Kamel Benothman, Didier Maquin, Mohamed Benrejeb. State and sensor faults estimation via a proportional integral observer. 6th Multi-Conference on Systems, Signals and Devices, SSD'2009, Mar 2009, Djerba, Tunisia. pp.CDROM, ⟨10.1109/SSD.2009.4956795⟩. ⟨hal-00376446⟩
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