针对噪声以及参数和负载的变化对电机的控制信号产生不可避免的干扰,及其影响永磁同步电动机的转速控制精度和鲁棒性的问题,提出了一种基于优化灰色补偿算法的永磁同步电动机转速控制策略。通过对理想条件下和实际控制中存在的噪声、参数变化以及负载扰动情况下获得的转速值进行比较,用获得的少量比较值预测控制系统未来的转速误差变化趋势,并进行超前预测补偿,使整个系统的快速性和抗干扰性得到改善。通过仿真和d SPACE半物理实验验证,表明了该方法在噪声、参数变化及干扰存在的情况下,有良好的转速跟踪性能和抗干扰性。
Since the noise,parameter variable and load disturbance generate inevitable interference for the motor control signals,and seriously affecting the permanent magnet synchronous motor( PMSM) speed accuracy and robustness,a compensation algorithm based on optimized grey permanent magnet synchronous motor speed control strategy was proposed.By comparing the speed of ideal condition and actual operating condition,the future speed error trend was obtained,then the speed can be got advanced predictive compensation,and the accuracy and the anti-disturbance of the whole control system were improved. The results of simulation and d SPACE experiment show that the proposed method has a favorable speed tracking control characteristics in the case of noise,parameter variable and load disturbance existing.