基于模型预测控制的低温余热磁悬浮高速发电机控制策略研究

Research on the Control Strategy for Low Temperature Waste Heat Power Maglev Generator based on MPC

本文研究磁悬浮低温余热发电机全功率变流器控制策略,针对现有PI控制器性能不佳的问题研究了一种基于模型预测控制(MPC)的机侧控制系统。建立了基于永磁发电机的预测模型,根据被控制量的预测误差和输出控制量的加权平方和建立目标函数,并以此为基础设计了基于转子磁场定向的矢量控制系统。文中通过仿真对所提MPC控制系统的可行性以及控制性能进行了定量的分析,结果表明该控制系统能够很好地估计下一时刻的电机电流,且具有良好的静、动态性能,能够为磁悬浮低温余热发电设备的开发提供理论依据。

This paper focuses on the control strategy of full power converter in the field of low temperature waste heat power generation. According to the drawbacks of PI controller, a control system based on model predictive control is developed for the converter of generator side. Firstly, a prediction model is built based on the voltage equations. In addition, the objective function is derived considering both minimum error and smoothing output. Then, the output voltage vector can be obtained through minimizing the object function. For verification, a full power converter model is built in MATLAB/Simulink, and the simulations regarding the low temperature waste heat power generation are carried out. The results show that with the proposed control strategy it is possible to obtain good performance and robustness.