Fault diagnosis based on the enclosure of parameters estimated with an adaptive observer

Christophe Combastel (1) , Qinghua Zhang (2) , Abdelhalim Lalami (1)

1 ECS - Equipe Commande des Systèmes
2 SISYPHE - SIgnals and SYstems in PHysiology & Engineering

The proposed fault diagnosis approach associates an adaptive observer for residual generation with set-membership computations based on zonotopes for residual evaluation. The main advantage of this approach is its rigorous propagation of pre-specified modeling uncertainty bounds to the computed residuals. Within the assumed modeling uncertainty bounds, fault detection is guaranteed to be free of false alarm, while the efforts made with set-membership computation minimize the conservativeness of fault detection decisions. The novelty compared to earlier works mainly resides in a guaranteed robustness to bounded parameter variations and in a method for dealing with occasional lack of input excitation.

Mots clés: Fault detection and diagnosis; Bounded error identification; Adaptive system and control

Domaines: Automatique

Christophe Combastel, Qinghua Zhang, Abdelhalim Lalami. Fault diagnosis based on the enclosure of parameters estimated with an adaptive observer. 17th IFAC World Congress, Jul 2008, Seoul, South Korea. pp.7314-7319, ⟨10.3182/20080706-5-KR-1001.01237⟩. ⟨hal-00854789⟩