异步电机模型预测控制系统设计

Design of Model Predictive Control System for Asynchronous Motor

传统的异步电机矢量控制系统采用双闭环PI控制策略,难以解决超调量和快速性的矛盾,并且控制参数多、参数整定困难。针对这一问题,提出了一种基于模型预测控制(MPC)的矢量控制系统。利用异步电机同步旋转坐标系下的数学模型,根据MPC原理设计了转速预测控制器,结合无差拍控制思想和有限控制集模型预测控制(FCS-MPC)原理设计了电流预测控制器。转速预测控制获得q轴参考电流,电流预测控制实现d,q轴电流解耦控制并且直接输出开关信号,无需PWM调制环节。仿真结果表明,所提出的异步电机MPC控制策略具有良好的动、静态性能。

The traditional asynchronous motor vector control system use double closed loop PI controllers,which is difficult to solve the contradiction between the overshoot and rapidity and to tune the parameters with much parameters.To solve these problems,a vector control system based on model predictive control(MPC)strategy was proposed.Using the mathematical model of asynchronous motor under the synchronous coordinate,the speed predictive controller was designed according to the MPC principle and the current predictive controller was designed combined with deadbeat control and finite control set MPC(FCS-MPC).The speed predictive controller obtained q axis reference current while the current predictive controller realized the dq axis current decoupling control and output the switch signals without the need of PWM modulation.Simulation results show that the proposed asynchronous motor MPC strategy has good dynamic and static performance.