Sliding-mode and fuzzy-logic adaptation mechanism for MRAS sensorless Vector Controlled Induction Motor with temperature monitoring

Abstract

High performance application of induction motor is achieved through field oriented control. An induction motor is controlled in the same manner as that of separately excited DC motor in field oriented control. Different methods are proposed for speed estimation in sensorless induction motor drives. Among that, model reference adaptive systems reduce the cost and reliability problems. Rotor flux, back electromotive force, and reactive-power techniques are popular schemes of model reference mechanism. Both back electromotive and reactive-power techniques face stability problems. Rotor flux technique has the improved performance and it is using commonly. To improve the performance of speed sensorless vector controlled induction motor drives, new control strategy based on sliding mode and fuzzy logic control is introducing by replacing PI controllers. Temperature monitoring prevents the induction motor from overheating and hence improving the life time. This paper also deals with the observing the internal temperature of an induction motor. However, the application of the new adaptation schemes does not considerably improve the steady-state but shows better transient performance as well as better load torque disturbance rejection.