Rotor speed and resistance estimation using robust extended Kalman filter for sensorless vector control of induction motor drives

Nowadays sensorless vector control is used widely in the induction motor drive systems. The performance of this method depends on the rotor speed. Also rotor speed estimation depends on the induction motor parameters, in particular the rotor resistance which varies with temperature. In this paper speed and rotor resistance is estimated online using a robust extended Kalman filter (REKF). The performance of this method against external disturbance is studied. Simulation results show that this method performs better and more robust than the extended Kalman filter (EKF).