Real-time estimation of permanent magnet synchronous motor stator winding resitance and temperature relfecting permanent magnet variations

In this paper, a stator resistance estimation algorithm is proposed based on the relationship between resistance and temperature to predict the winding temperature of a permanent magnet synchronous motor (PMSM). Since heat generated from motor losses and environmental conditions negatively affects the performance of motor drives, the temperature of the motor windings should be predicted in real-time and properly managed. To improve the performance of stator resistance estimation, an algorithm that reflects the variation in permanent magnet (PM) flux linkage due to temperature changes is implemented using a stator flux linkage observer and reflected in the stator resistance estimator. The proposed PMSM algorithm is validated through simulation.