基于转子位置角预测的车用异步电机控制算法

Vehicle Asynchronous Motor Control Algorithm Based on Rotor Position Prediction

在车用异步电机控制系统中,采用的低线数光电编码器不但影响速度和位置的检测精度,而且影响电机解耦算法的准确实现。课题组根据间接转子磁场定向控制算法,设计了基于位置而非速度的转子磁链角观测模块,规避了速度计算误差的干扰;提出了一种基于加速度在线辨识的转子位置角预测算法。该方案通过前一时刻的转子位置,结合转动惯量辨识和负载观测器计算得出加速度,从而对转子当前位置进行估算,并在光电编码器的位置更新点进行修正,提高了位置精度。仿真和实验结果表明:在车用异步电机矢量控制系统中,该方案能够有效提高低线数光电编码器电机控制系统的解耦精度,改善加速性能。

In the asynchronous motor control system of electrical vehicles,using low-line optical encoders will reduce the accuracy of speed and position detection,which in turn reduce the accurate implementation of the motor decoupling algorithm.Based on the indirect rotor field oriented control algorithm,a rotor flux angle observation module for position measurement rather than speed measurement was designed to effectively reduce the interference of speed calculation error.A rotor position angle prediction algorithm based on online inertia identification was proposed.Based on the rotor position at the previous moment,the acceleration was calculated by combining the moment of inertia identification and the load observer to predict the current rotor position.The position update point of the optical encoder was corrected to improve the position accuracy.The simulation and experimental results show that in the electrical vehicle asynchronous motor vector control system,the designed scheme can effectively improve the decoupling performance of the low-line optical encoder motor control system and improve the acceleration performance.