SENSORLESS CONTROL STRATEGY OF PMSM AT LOW SPEED BASED ON HIGH FREQUENCY SIGNAL INJECTION

Abstract

Aiming at the problem that the disturbance signal generated during the driving of electric vehicles affects the accuracy of rotor position identification, this paper proposes an initial position identification method based on an improved secondary order generalized integral phase-locked loop to filter the disturbance signal. The optimized rotor position estimation method can effectively filter out high-frequency disturbance signals and accurately estimate the rotor position. After simulation verification, the results indicates that the proposed method can accurate evaluation the current position and actual speed of the rotor at low-rate and zero speed of the motor, which is more reliable than before improvement. The proposed method is simple and concise, and has high stability and robustness.