Title :
An active generalized likelihood ratio test in a reconfigurable fault-tolerant control system
Author :
Jamouli, Hicham ; Sauter, Dominique
Author_Institution :
Nat. Sch. of Appl. Sci., Ibn Zohr Univ., Agadir
Abstract :
For sequential jumps detection, isolation and estimation in discrete-time stochastic linear systems, (A.S. Wilsky et al., 1976) have developed the generalized likelihood ratio (GLR) test. After each detection and isolation of one jump, the treatment of another possible jump is obtained by a direct state estimate and covariance incrementation of the Kalman filter originally designed on the jump-free system. With this updating strategy, the rate of good decisions is not guaranted to be maximized. To solve this problem, the proposed active GLR test will be based on a reference model updated on line after each detection and isolation of one jump. We will show that the active GLR tests can be easily integrated in a reconfigurable fault-tolerant control system (FTCS) to asymptotically recover the nominal system performances of the jump-free system.
Keywords :
Kalman filters; discrete time systems; fault tolerance; linear systems; state estimation; stochastic processes; Kalman filter; active generalized likelihood ratio test; direct state estimate; discrete-time stochastic linear systems; jump-free system; reconfigurable fault-tolerant control system; Automatic control; Control systems; Detectors; Fault detection; Fault tolerant systems; Sequential analysis; State estimation; Stochastic systems; System testing; Technological innovation; GLR test; fault detection; fault tolerant control; linear stochastic system;
Conference_Titel :
Control and Automation, 2008 16th Mediterranean Conference on
Conference_Location :
Ajaccio
Print_ISBN :
978-1-4244-2504-4
Electronic_ISBN :
978-1-4244-2505-1
DOI :
10.1109/MED.2008.4602150