Novel Compensation Method to Reduce Rotor Position Estimation Error and Torque Reduction in Signal Injection Based PMSM Drives

Abstract

High frequency signal injection techniques are widely used to extract rotor position information from low speed to stand still. Accuracy of estimated rotor position is decreased when stator winding resistance is neglected. Position estimation error also results in output Torque reduction. Parasitic resistance of stator winding causes significant position estimation error and Torque reduction, if not compensated. Signal injection techniques developed in the literature does not provide detailed analysis and compensation methods to improve rotor position estimation of PMS Motors, where stator winding resistance cannot be neglected. This work analyzes the stator winding resistance effect on position estimation accuracy and proposes novel compensation technique to reduce the position estimation error and torque reduction introduced by stator winding resistance. Prototype hardware of a self-sensing PMSM drive is developed. The effectiveness of the proposed method is verified with the MATLAB/Simulink simulations and experimental results on a prototype self-sensing PMSM drive.

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

“…However, a special motor construction is required to mount the sensors in the IPMSM drive. In addition, speed sensor installation increases the system costs on one hand and decreases the system reliability on the other hand [9,10]. Thus, driving the five-phase IPMSMs without speed or position sensors is an interesting topic and various estimators have been devoted including high frequency injection with an observer [9], sliding mode observer [10], Kalman filter [11] and MRAS [12].…”