Design and implementation of sensorless vector control of induction motor drive using fuzzy-adaptive controller

This paper proposes a method for sensorless speed control of a field oriented vector control of Induction motor drive using a fuzzy controller for speed control and model reference adaptive controller (MRAC) for speed estimation. Speed estimation using reactive power based MRAC has stability problems. To overcome this, flux based MRAC controller is designed which uses actual stator voltages and actual stator current for estimating the speed. This makes sensorless drive stable in all the four quadrants of operation. Conventional PI controller is replaced by the Fuzzy controller to improve the performance of induction motor. The simulation of proposed model is done using MATLAB/SIMULINK. From the analysis, it can be observed that the proposed system gives a better response than conventional controllers and requirement of no additional sensors make the drive suitable for high-performance applications. The simulation results prove the effectiveness of the proposed system.