Active diagnosis for a class of switched systems

Jérémy van Gorp (1) , Alessandro Giua (2) , Michael Defoort (1) , Mohamed Djemai (1)

1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
2 DIEE - Department of Electrical and Electronic Engineering [University of Cagliari]

This paper deals with active diagnosis for a class of switched systems which may not satisfy the classical diagnosability conditions. A Mealy Machine modeling is used to define an appropriate diagnoser which reduces the uncertain state subset. An algorithm combining the proposed diagnoser and a testing procedure is introduced to solve the fault identification problem. A study on the multicellular converter is carried out to detect and isolate faulty cells. Simulation results show the effectiveness of the proposed scheme.

Mots clés: Switched systems; Testing; Fault diagnosis; Integrated circuits; Automata; Switches

Domaines: Automatique / Robotique

Jérémy van Gorp, Alessandro Giua, Michael Defoort, Mohamed Djemai. Active diagnosis for a class of switched systems. 2013 IEEE 52nd Annual Conference on Decision and Control (CDC), Dec 2013, Firenze, Italy. pp.5003-5008, ⟨10.1109/CDC.2013.6760674⟩. ⟨hal-03470386⟩