内置式永磁同步电机(PMSM)的电感会随着磁路的饱和程度加深而减小，导致电机控制系统中，不同运行状态下，电感参数会发生变化，因此准确辨识电感参数对电机的控制性能影响很大。针对这一问题，提出了利用PMSM瞬态电压方程建立基于带遗忘因子的最小二乘法的电感辨识方法。搭建了仿真模型，分析了在转速、转矩发生变化时该辨识方法的辨识结果，并在基于dSPACE的试验平台上试验验证了该辨识方法。通过对比仿真和试验的结果，证明该方法在内置式PMSM控制中具有良好的实时性和有效性。

The inductance of the internal permanent magnet synchronous motor (PMSM) will decrease as the saturation of the magnetic circuit deepens, which results in parameters variation with the running condition varying in the motor control system. Therefore, the accurate identification of inductance parameters has a great influence on the control performance of the motor. To solve this problem, a least squares inductance identification method based on forgetting factor is proposed using the transient voltage equation of PMSM. A simulation model is established, and the results of the identification method are obtained when the speed and torque change. Based on the dSPACE experiment platform, the identification method is verified by experiments. Comparison between simulation and experimental results proves that this method has good realtime performance and effectiveness in the control of internal PMSM.

国家自然科学基金项目(51477110)