DocumentCode :
736578
Title :
Robust detection of intermittent faults for linear discrete-time stochastic systems with parametric perturbations
Author :
Yan, Rongyi ; He, Xiao ; Zhou, D.H.
Author_Institution :
Automation Department, Tsinghua University, Beijing 100084, P.R. China
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
6308
Lastpage :
6313
Abstract :
In this paper, the robust detection problem of intermittent faults (IFs) for a class of linear discrete-time stochastic systems subject to time-varying parametric perturbations and unknown disturbances, is studied. Based on the reduced-order unknown input observer (UIO), a primary residual decoupled from perturbations and disturbances is designed and a sufficient solvability condition for the observer is provided. In order to detect all the appearing time and the disappearing time of the IF, a novel residual is constructed by introducing a sliding time window on the basis of the primary residual. Then two hypothesis tests are proposed to detect the appearing time and the disappearing time of the IF, respectively. Finally, a simulation example on a satellite is given to illustrate the effectiveness of the proposed robust detection scheme.
Keywords :
Circuit faults; Noise; Noise measurement; Observers; Robustness; Satellites; Stochastic systems; Intermittent faults (IFs); hypothesis tests; reduced-order unknown input observer (UIO); robust fault detection; time-varying parametric perturbations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
Type :
conf
DOI :
10.1109/ChiCC.2015.7260630
Filename :
7260630
Link To Document :
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