直驱力矩电机双扰动位置误差预测模型研究

Research on Double Disturbance Position Error Prediction Model of Direct Drive Torque Motor

为提高直驱力矩电机在受变负载与转子偏心双扰动工况下位置精度,使用人工电场算法(AEFA)优化支持向量回归(SVR)的方法建立直驱力矩电机双扰动位置误差预测模型。搭建试验台,利用磁粉制动器对力矩电机施加变化外载荷,利用外置质量块模拟转子偏心。将两个扰动因素变负载和转子偏心以及电机运行电流作为模型输入,位置误差作为模型输出。实验结果表明,AEFA-SVR预测模型精度优于SVR预测模型,能够有效预测双扰动下直驱力矩电机的位置误差。

In order to improve the position accuracy of direct drive torque motor under the double disturbance of variable load and rotor eccentricity,the double disturbance position error prediction model of direct drive torque motor is established by using artificial electric field algorithm(AEFA)optimization support vector regression(SVR).The test bench is built,the magnetic particle brake is used to apply variable external load to the torque motor,and the external mass block is used to simulate rotor eccentricity.Two disturbance factors(variable load and rotor eccentricity)and motor running current,are taken as the model input,and the position error are taken as the model output.The experimental results show that the accuracy of AEFA-SVR prediction model is better than SVR prediction model,and can effectively predict the position error of direct drive torque motor under double disturbance.