基于广义预测控制的伺服速度环参数自整定

Servo Speed Loop Based on Generalized Predictive Control Parameter self-tuning

针对伺服系统速度环在实际操作过程中由外部扰动引起的控制性能紊乱问题,提出了一种基于广义预测控制(GPC)的积分比例(IP)控制器用于伺服系统的速度控制。首先对被控对象进行模型参数辨识,然后由广义预测控制对控制参数进行最优参数计算,将所计算出的控制参数映射于IP控制器内,最后通过与传统比例积分(PI)控制器仿真结果进行对比,验证了此方法的有效性与稳定性,有效提升了交流伺服系统速度环抗扰动能力,此类先进的控制策略对提高永磁同步系统性能提供了新的方法和途径。

Being aimed at the problem of control performance disorder caused by external disturbance in the speed loop of the servo system during actual operation,an integral proportional(IP)controller based on generalized predictive control(GPC)was proposed for the speed control of the servo system.First,identify the model parameters of the controlled object,then calculate the optimal parameters of the control parameters by generalized predictive control,map the calculated control parameters in the IP controller,and finally simulate with the traditional proportional integral(PI)controller.The results are compared to verify the effectiveness and stability of the method,effectively improve the anti-disturbance capability of the AC servo system's speed loop,such advanced control strategies provide new methods and approaches to improve the performance of permanent magnet synchronous systems.