Title :
Robust Detection and Estimation of Faults by Exact Fault Decoupling and H /spl infin/ Disturbance Attenuation in Linear Dynamical Systems.
Author :
Edelmayer, A. ; Bokor, J. ; Szabo, Z.
Author_Institution :
Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest
Abstract :
In this paper a useful combination of the idea of inversion-based direct input (fault) reconstruction and Hinfin optimal filtering for robust estimation, detection and separation of multiple simultaneous faults in the presence of persistent, non-decouplable disturbances in linear dynamical systems is presented. In particular, it is shown how in a specific filtering structure, relying on the inverse representation of the system, an Hinfin detection filter can be designed providing detection residuals by exact fault decoupling where the estimation of the inverse dynamics is obtained by means of the optimal filter thus ensuring Hinfin disturbance attenuation on the residual output. The applicability of the method is demonstrated based on the aircraft monitoring problem that was originally considered in the papers by Douglas and Speyer (1995) and Chung and Speyer (1998)
Keywords :
Hinfin control; fault diagnosis; fault tolerance; filtering theory; inverse problems; matrix algebra; Hinfin disturbance attenuation; Hinfin optimal filtering; fault decoupling; inversion-based direct input reconstruction; linear dynamical systems; robust fault detection; robust fault estimation; Aircraft; Attenuation; Control systems; Design methodology; Fault detection; Filtering; Nonlinear dynamical systems; Nonlinear filters; Robustness; State-space methods;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0210-7
DOI :
10.1109/ACC.2006.1657636