基于多目标排序的无刷双馈电机预测控制

PREDICTIVE CONTROL OF BDFM BASED ON A MULTI-OBJECTIVE RANKING METHOD

首先推导无刷双馈电机(BDFM)在统一坐标系下的电压模型和转矩模型,在此基础上给出电机转矩和控制电机定子磁链的预测方程,随后给出基于多目标排序的预测控制系统设计方法,通过对转矩和磁链的预测误差进行综合排序来选择基本电压矢量,实现对电机转矩和控制电机定子磁链的直接控制。仿真实验结果证明,该方法可有效减小转矩脉动、改善电流谐波,具有良好的动、静态性能。

This paper derives firstly the mathematic model of the brushless doubly-fed machine in the unified coordinate system,and on this basis,the predictive equations of the magnetic torque and stator flux of the control machine are presented.Then,the designing method of predictive control strategy based on a multi-objective ranking method is proposed,in which the basic voltage vector is chosen by comprehensive ranking the predictive errors of torque and flux,so that the torque and control machine stator flux can be controlled directly.Simulation results show that the proposed method can not only decrease the torque pulsation and harmonic current,but also achieve better dynamic and static performance.