Neuroadaptive Observer-based Discrete-time Command Filtered Fault-tolerant Control for Induction Motors with Load Disturbances

Abstract In this paper, a neuroadaptive observer-based discrete-time command filtered fault-tolerant control method is proposed for induction motors (IMs) with possible actuator faults and load disturbances. Firstly, the problem of “complexity of computation” and noncausal problem result from the traditional backstepping method are solved using the command filtered technique. Secondly, fault-tolerant control considering possible actuator faults is realized by adaptive neural control. In addition, a neuroadaptive observer is utilized to estimate the rotor position, angular velocity, and settle unknown load disturbances of IMs. The results of simulation demonstrate that the new design scheme can get rid of the effect of actuator faults and guarantee satisfactory position tracking performance.