Distinguishability and Similarity between modes in Hybrid System Monitoring

Asmal Takrouni , Vincent Cocquempot (1) , Nadia Zanzouri , Mekki Ksouri

1 STF - Systèmes Tolérants aux Fautes

The general principle of model-based Fault Detection and Isolation (FDI) algorithms aims to compare the expected behavior of the system, given by a model, with its actual behavior, known through on-line observations. Accordingly, this paper considers Hybrid Dynamical Systems (HDS), since the behavior is determined by the interaction between continuous and discrete dynamics. The proposed FDI method is based on Luenberger observers. The resulting faults indicators allow detecting both continuous and discrete faults. The property of distinguishability will be considered to guarantee modes identification and the similarity between modes is given in order to reduce residuals calculation.

Mots clés: Fault detection; Hybrid systems; Luenberger observer; distinguishability

Domaines: Automatique / Robotique

Asmal Takrouni, Vincent Cocquempot, Nadia Zanzouri, Mekki Ksouri. Distinguishability and Similarity between modes in Hybrid System Monitoring. 2011 International Conference on Communications, Computing and Control Applications (IEEE CCCA'11), Mar 2011, Hammamet, Tunisia. pp.1-6. ⟨hal-00710291⟩