永磁同步电动机参数自适应辨识的建模与仿真

Modeling and Simulation of Adaptive Identification for PMSM Parameters

为精确地在线获取永磁同步电动机的参数,提出了一种在一个模型中对电阻、电感和永磁磁链同时进行估算的自适应辨识方法。基于Popov超稳定理论,给出了自适应辨识模型的设计方法。利用Matlab/Simulink建立了矢量控制下永磁同步电动机参数的自适应辨识模型,仿真和实验结果表明所建模型能快速准确地辨识出电机参数。

In order to achieve an accurate knowledge of Permanent Magnet Synchronous Motor （PMSM） parameters, an adaptive identification method for resistance, inductance and PM flux in the same model was proposed. Based on Popov stability theory, design method of the model was expatiated. The model of parameters identification of PMSM under vector control was completed using Matlab/Simulink. The simulation results as well as experimental ones illustrate that the model can estimate parameters of the motor fast and exactly.