Roust Adaptive Tracking Control for Switched Reluctance Motor with Sensor Fault

In this paper, a novel fuzzy adaptive tracking control scheme is concerned for switched reluctance motor with sensor fault. The considered switched nonlinear system contains unknown nonlinearities and sensor fault. In the design process, firstly, fuzzy logic systems (FLSs) are used to approximate the unknown nonlinear dynamics. Secondly, in order to solve the challenge of partial failure of the sensor, a novel fuzzy adaptive fault-tolerant controller is designed. Finally, the Lyapunov functions are constructed to prove the stability of switched reluctance motor and all of signals for closed-loop system is bounded.