Sensorless Fuzzy logic Control applied on induction motor in real-time

Abstract

This article presents the synthesis of an advanced control applied to an induction motor. Based on the combination of the fuzzy logic approach and sensorless approach the all-in realtime experience, fuzzy logic was used for the robustness regardless of the accuracy of the motor’s model, with the use of Luenberger estimator for the motor’s speed estimation, simulation results illustrate the performance of this control strategy.