Research on Nonlinear Observer Sensorless Algorithm Based on Parameter Identification Under Field Weakening Control for SPMSMs

When the surface-mounted permanent magnet synchronous motor(SPMSM) is in the stage of high-speed weak magnetism, the parameters such as flux linkage and resistance will be perturbed. In order to improve the accuracy and reliability of the observation position of the nonlinear flux linkage observer, this paper has designed a nonlinear observer sensorless algorithm based on parameter identification under field weakening control. The algorithm has high observation accuracy, good dynamic performance and strong robustness, and for the problem of high-speed field weakening parameter variation of the motor, the system can update the motor parameters through parameter identification, and still accurately observe the rotor position of the motor, which further improves the accuracy and reliability of the system. The simulation results prove the correctness of this algorithm.