DocumentCode :
2173019
Title :
Fault detection of affine hybrid systems using finite memory observers
Author :
Kajdan, Rudy ; Kratz, Frederic ; Aubry, Didier
Author_Institution :
Lab. de Vision et Robot., ENSI Bourges, Bourges, France
fYear :
2007
fDate :
2-5 July 2007
Firstpage :
1030
Lastpage :
1037
Abstract :
The purpose of this paper is to design a finite memory observer for fault detection of a class of hybrid systems. The hybrid FMO observer is decomposed in two stages: the discrete observer and the continuous observer which estimate the mode and the continuous state vector respectively. Using the past output measurements and the model equations, state and mode estimation is expressed as a minimization problem. In the fault detection approach, we focus about residuals generation using two different approaches. The performances of the proposed method for state estimation and fault detection is illustrated through numerical simulations on a simulated benchmark two-tanks system whose equations are linearized.
Keywords :
continuous systems; discrete systems; fault diagnosis; minimisation; observers; tanks (containers); affine hybrid systems; continuous observer; continuous state vector; discrete observer; fault detection approach; hybrid FMO observer; minimization problem; mode estimation; model equations; numerical simulations; output measurements; simulated benchmark two-tanks system; state estimation; tmnite memory observer design; Benchmark testing; Equations; Fault detection; Mathematical model; Observers; Vectors; Fault detection/accommodation; estimation; hybrid systems; observers for linear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2007 European
Conference_Location :
Kos
Print_ISBN :
978-3-9524173-8-6
Type :
conf
Filename :
7068994
Link To Document :
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