Robust fault estimation and isolation for a descriptor LPV system with disturbance

Abstract

This paper proposes a new modus of fault estimation and isolation, which based on fault estimation filter using iterative leaning scheme combine with robust observer for descriptor linear parameter varying (D-LPV) systems with disturbance. According to the p actuators of the D-LPV multi-input multiple-output (MIMO) system, we designed p robust isolation observers and fault estimation filters. Firstly, assuming that the jth actuator fails, the corresponding jth robust isolation observer is designed by using the H∞ method, so that the residual signal is only sensitive to the jth actuator fault, but robust to disturbance and remaining faults. Next, by comparing the norm of residual signal with threshold of the designed filter, we can judge whether to start fault estimation filter. Then, iterative learning fault estimator use the filtered residual signal to modify the estimated value. Thus, this method of fault estimation and isolation is realized. Finally, the effectiveness and correctness of this method are verified in a simulation experiment.