Research on position error prediction model of direct drive torque motor under variable load
In order to improve the position precision of direct drive torque motor under variable external load condition,a position error prediction model of direct drive torque motor is established by using support vector regression(SVR)neural network optimized by wolf pack algorithm(WPA).An testbed is built,the magnetic powder brake is connected with coupling for torque motor,and the magnetic powder brake is used to apply variable external load to the direct drive torque motor.The variable external load data and the current data when the direct drive torque motor is running are taken as the input,and the position error of the direct drive torque motor is taken as the output.The experimental results show that the precision of WPA-SVR prediction model is higher than that of SVR prediction model,and can effectively predict the position error of direct drive torque motor under variable load.
NETL
NSTL
万方数据
维普
