永磁同步电机转子初始位置检测方法  

Initial rotor position estimation method for PMSM

作　　者：李瑞棋 黎英[1] Li Ruiqi;Li Ying(Faculty of Information Engineering and Automation,Kunming University ofScience and Technology,Kunming 650504,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,昆明650504

出　　处：《电子测量与仪器学报》2020年第4期194-200,共7页Journal of Electronic Measurement and Instrumentation

摘　　要：永磁同步电机(PMSM)转子初始位置的准确预测,对电机启动过程的控制有着重要的影响,而在无传感器下精准辨识转子初始位置对电机控制有着诸多好处。提出了一种基于脉冲电压矢量法的高精度永磁同步电机初始位置预测方法。该方法在分析了永磁同步电机转子位置对磁路饱和程度影响的基础上,通过在电机任意两相中加入正反向脉冲电压,测量无电流相的感应电压,获得感应电压幅值与转子位置的关系。利用测试数据训练神经网络来拟合这种关系,构成转子初始位置估算装置。通过仿真实验表明,这种方法可以克服采用电机集中参数模型所带来的各种误差,具有极高的预测准确性。Accurate prediction of the initial position of the permanent magnet synchronous motor has an important impact on the control of motor starting process,but identification of the rotor′s initial position without sensor has many advantages on the motor control.In this paper,an initial position prediction method for high precision PMSM based on pulse voltage vector method is proposed.Based on the analysis of the relationship between the magnetic circuit saturation with rotor position of the PMSM,by adding the forward and reverse pulse voltages to any two phases of the motor,the induced voltage without the current phase is measured,and the relationship between the magnitude of the induced voltage and the rotor position is obtained.The neural network is trained the test data to fit this relationship to form a rotor initial position estimating device.The simulation experimental results verify that the method can overcome various errors caused by the motor centralized parament model and has extremely high prediction accuracy.

关 键 词：永磁同步电机 转子初始位置 脉冲电压矢量法 感应电压 神经网络 

分 类 号：TN0[电子电信—物理电子学] TH7[机械工程—仪器科学与技术]