Multiple model–based fault detection and diagnosis for helicopter with actuator faults via quantum information technique

Abstract

A multiple model–based fault detection and diagnosis approach for a helicopter with actuator faults and disturbances is developed in this article. Particularly, the actuator is locked in-place and does not respond to subsequent commands. A multiple model scheme is proposed to detect and isolate the faults. In the multiple model scheme, a series of parallel observers are constructed, each of which is based on a model that describes the system in the presence of a particular actuator fault. In addition, quantum information technique is used to choose which model matches the current system. Furthermore, to estimate the locked position, a robust fast adaptive fault estimation algorithm based on linear matrix inequality technique is proposed by considering the disturbances. Finally, the simulation results show the efficiency of this scheme.