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[摘要]
针对永磁同步电机(PMSM)在恒定转速下的参数在线辨识问题,使用了一种基于含遗忘因子的递推最小二乘法(FFRLS)的小转速扰动注入法来同时在线辨识PMSM电气参数和机械参数。整个辨识过程分为两步,首先采用FFRLS方法,对电机的定子电阻、电感和磁链等参数实时辨识;其次,对于电机转速恒定的应用场景,电机角速度的微分量几乎等于零,很难对电机的转动惯量进行在线辨识,采用在恒定转速中注入扰动的方法进行机械参数实时辨识。仿真结果表明,所提的方法可以在电机转速恒定的条件下较快速准确地辨识电机的电气和机械参数。
[Key word]
[Abstract]
Aiming at online identification of permanent magnet synchronous motor (PMSM) parameters, a small speed disturbance injection method based on forgetting factor recursive least square (FFRLS) is proposed for online identifying both electrical and mechanical parameters of PMSM. The estimation can be separated into two parts. Electrical parameters such as stator resistance, inductance and flux linkage can be identified in real time by using FFRLS. Considering the operation condition of a constant speed, it is hard to identify the rotational inertia online because the derivative of angular velocity is nearly zero. To solve the problem, the small speed disturbance injection method is used to identify the mechanical parameters. Simulation results show that the proposed method can identify the electrical and mechanical parameters of PMSM accurately and rapidly.
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