Observer Based Position and Speed Estimation of Interior Permanent Magnet Motor

This paper presents Position sensorless Interior Permanent magnet synchronous motor drive using a discretized Extended Kalman Filter algorithm (EKF). An observer based speed estimator which can be used for the state estimation of a non linear dynamic system in real time is presented here. Speed and position estimation of IPM is simulated using MATLAB and results of step variation in speed, load perturbation and flux weakening are presented to substantiate the proposed estimation of the speed.