Sensor fault estimation filter design for discrete-time linear time-varying systems

Abstract : This paper proposes a sensor fault diagnosis method for a class of discrete-time linear time-varying (LTV) systems. In this paper, the considered system is rstly formulated as a de- scriptor system representation by considering the sensor faults as auxiliary state variables. Based on the descriptor system model, a fault estimation lter which can simultaneously estimate the state and the sensor fault magnitudes is designed via a minimum- variance principle. Then, a fault diagnosis scheme is presented by using a bank of the proposed fault estimation lters. The novelty of this paper lies in developing a sensor fault diagnosis method for discrete LTV systems without any assumption on the dynamic of fault. Another advantage of the proposed method is its ability to detect, isolate and estimate sensor faults in the presence of process noise and measurement noise. Simulation results are given to illustrate the e ectiveness of the proposed method.
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Acta Automatica Sinica, 2014, 40 (10), pp.2364-2369
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Zhenhua Wang, Mickael Rodrigues, Didier Theilliol, Yi Shen. Sensor fault estimation filter design for discrete-time linear time-varying systems. Acta Automatica Sinica, 2014, 40 (10), pp.2364-2369. 〈hal-00989944〉

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