Fuzzy Adaptive Control Design of Induction Motor Speed Sensorless Based on MRAS

Abstract

In order to solve the real-time parameter adjustment problem of the speed sensorless vector control system for the induction motor, the paper presents a fuzzy self-adaptive method with intelligent gain adjustment. By the means of the sensorless vector control for induction motor, adapt Model reference adaptive system (MRAS) to achieve the rotor position estimation to improve the speed and estimated accuracy, and then design the out-loop controller to achieve high response of speed control. So applying the method of the fuzzy self-adaptive parameter adjustment, track and correct controller parameters in time to achieve high dynamic response. The simulation results confirm the validity and effectiveness of the proposed control strategy.