Actuator fault estimation observer design for discrete-time linear parameter-varying descriptor systems

Abstract : This paper deals with actuator fault estimation for a class of discrete-time Linear Parameter-Varying (LPV) descriptor systems. By considering the fault as an auxiliary state vector, an augmented system is established. Then, a fault estimation observer is designed based on the augmented system. In this paper, the fault estimation observer design is formulated as a Linear Matrix Inequality (LMI) feasibility problem. Therefore, all parameters of the observer can be simultaneously designed by solving a set of strict LMIs. In order to attenuate the effect of the unknown disturbance, fault variation, and measurement noise, we further propose a robust fault estimation observer design method, which is the main contribution of this paper. Finally, performance of the proposed robust fault estimation observer is shown through the application to a trucktrailer model.
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International Journal of Adaptive Control and Signal Processing, Wiley, 2015, 29 (2), pp.242-258. 〈10.1002/acs.2469〉
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Zhenhua Wang, Mickael Rodrigues, Didier Theilliol, Yi Shen. Actuator fault estimation observer design for discrete-time linear parameter-varying descriptor systems. International Journal of Adaptive Control and Signal Processing, Wiley, 2015, 29 (2), pp.242-258. 〈10.1002/acs.2469〉. 〈hal-00936400〉

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