电机参数辨识技术研究

Research on Parameter Identification Technology of Motor

摘要:

在电机实际运行的过程中，电机的参数会受到温度和磁路饱和程度等因素的影响而发生变化，从而导致伺服系统控制效果降低，甚至可能损坏电机。因此需要通过参数辨识获取电机的参数，以保证控制效果。通过离线辨识获取静止状态下和稳定运行状态下的电机参数，并将其作为在线辨识的初值使用。基于模型参考自适应算法在线辨识电机参数。以旋转坐标系下直交轴电流方程作为参考模型，通过采集的电压、电流和转速等参数辨识电机的电阻和电感。在MATLAB中搭建可实时改变参数的电机模型，并用模型参考自适应模块进行在线辨识，通过仿真验证了该方法的有效性。

Abstract:

In the actual process of permanent magnet synchronous motor(PMSM),the parameters of the motor will change under the influence of temperature and saturation degree of magnetic circuit, which will reduce the control effect of the servo system and even damage the motor. Therefore, it is necessary to obtain the parameters of the motor through parameter identification to ensure the control effect. The motor parameters in static state and stable operation state are obtained through off-line identification, and used as the initial value of online identification. the motor parameters are identified online based on model reference adaptive .Taking the direct axis and quadrature axis current equation in the rotating coordinate system as the reference model, the resistance and inductance of the motor are identified by the collected parameters such as voltage, current and speed. The motor model which can change parameters in real time is built in MATLAB, and the model reference adaptive module is built for online identification. The effectiveness of this method is verified by simulation.