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中文摘要：
永磁同步电动机具有响应快、精度高、转矩比高等诸多优点.在永磁同步电动机系统数学模型基础上,构建系统回归模型,并采用遗忘因子随机梯度算法（FSG）辨识回归模型参数.仿真实验结果表明FSG算法对永磁同步电动机系统的参数辨识一致收敛,和随机梯度算法（SG）相比,FSG算法对输出非敏感参数值辨识收敛速度和精度方面均有较大优势.
英文摘要：
Permanent magnet synchronous motor（PMSM） has some excellent features,such as fast response,better accuracy,high torque to current ratio.Based on analysis of PMSM mathematical model,the system regression model was proposed,and forgetting factor based stochastic gradient algorithm was used for the identification of regression model parameters.Simulation results show that FSG algorithm was uniformly convergence for the parameters of PMSM.Comparing to SG algorithm,FSG algorithm has more outstanding performance on convergence speed and precision for non-sensitive parameter.
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