基于负载观测器的永磁同步电机模型预测控制

Model Predictive Control for Permanent Magnet Synchronous Motor Based on Load Observer

针对永磁同步电机传统矢量控制系统的转速追踪性能差和电流脉动大等问题,提出一种基于负载观测器的永磁同步电机有限集模型预测控制策略。首先建立永磁同步电机控制器的电流预测模型。在此基础上添加龙伯格观测器估计负载扰动。最后,通过仿真搭建了基于负载观测器的预测控制策略模型,验证了控制策略的优越性。由产生的转矩电流对速度环进行前馈补偿,从而实现对负载干扰的有效抑制。结果表明:所提方法不仅可以有效改善系统的动态特性和稳态精度,还能有效地提高系统的抗干扰性。

Aiming at the problems of poor speed tracking performance and large current ripple of the traditional vector control system of permanent magnet synchronous motor,a finite set model predictive control strategy of permanent magnet synchronous motor based on load observer was proposed.Firstly,the current prediction model of the permanent magnet synchronous motor controller was established.On this basis,the Luenberger observer was added to estimate the load disturbance,and the resulting torque current performed feedforward compensation on the speed loop,so as to effectively suppress the load disturbance.Finally,a predictive control strategy model based on load observer was built through simulation,which verifies the superiority of the control strategy.The results show that the proposed method can effectively improve the dynamic characteristics and steady-state accuracy of the system,and can effectively improve the anti-interference performance of the system.