Speed Sensorless Vector Control of Induction Motor using Extended Kalman Filter

Abstract

Abstract— In this paper vector controlled sensorless Induction motor’s (I.M.) speed is estimated using Extended Kalman filter. The speed is estimated using measured stator voltages and currents.  The performance of Induction Motor is not satisfactory at very low speed due to mismatch of parameters of Induction motor. The reason for variation of parameter is measurement errors, modeling errors , uncertainties. The low speed performance of induction motor is improved by estimating speed of Induction motor using extended Kalman filter under noisy condition. The detailed algorithm for Extended Kalman filter is explained and is simulated by Matlab Simulation.