五相永磁同步电机模型预测电流控制仿真分析

Simulation and Analysis of Model Predictive Current Control for Five-Phase Permanent Magnet Synchronous Motor

基于五相永磁同步电机(Five-phase PMSM)的扩展Park变换矩阵,建立五相PMSM在两相旋转坐标系下的数学模型,分析两电平五相电压源型逆变器的工作原理。借鉴矢量空间解耦控制的思想,令基波空间的直轴电流id1=0,直接控制交轴电流iq1实现电机转矩的控制,并设计了一种可抑制三次空间谐波的相邻四矢量(Near Four Vectors,NFV)SVPWM算法。为提升电流控制性能,研究了五相PMSM的有限集模型预测电流控制(Finite Control Set Model Predictive Current Control,FCS-MPCC),构造电流预测模型、设计目标函数并选取合适的控制集。基于Matlab/Simulink完成仿真建模和对比分析,仿真结果表明:FCS-MPCC比传统的矢量控制具有更好的电流动态响应性能。

Based on the extended Park transformation matrix of five-phase permanent magnet synchronous motor(PMSM), the mathematical model of five-phase PMSM in two-phase rotating coordinate system is established, and the working principle of two-level five-phase voltage source inverter is analyzed. Learn from the idea of vector space decoupling control, the direct-axis current id1=0 is used to directly control the cross-axis current iq1 to realize torque control of the motor, and an near-four-vectors SVPWM algorithm that can suppress the three-space harmonics is designed. In order to improve the current control performance, the finite-control-set model predictive current control(FCS-MPCC) is studied, and the current prediction model is constructed, and the objective function is designed, and the appropriate voltage vectors control set is selected. The simulation modeling and comparative analysis are completed based on Matlab/Simulink. The simulation results show that FCS-MPCC has better current dynamic response performance than traditional vector control algorithm in this paper.