五桥臂双永磁同步电机系统双矢量模型预测电流控制

针对五桥臂双永磁同步电机(PMSM)系统单矢量模型预测电流控制(MPCC)稳态波动大的问题,提出一种优化的双矢量模型预测电流控制策略。利用无差拍的思想分别独立预测2台电机q轴电流准确跟踪参考值所需时间,筛选出在一个控制周期内能够准确跟踪q轴电流的基本有效矢量。依据公共桥臂开关状态必须一致的特性,选择合适的零矢量对符合条件的矢量进行组合,筛选出使系统性能达到最优的矢量组合作用于五桥臂逆变器驱动双电机,改善系统的运行性能。仿真结果验证了所提双矢量MPCC策略的正确性和有效性。

Double-Vector Model Predictive Current Control of Five-Leg Dual Permanent Magnet Synchronous Motor System

In order to solve the problem of large steady-state fluctuation of single-vector model predictive current (MPCC) control for the five-leg dual permanent magnet synchronous motor (PMSM) system, an optimal double-vector model predictive current control strategy is proposed. By using the idea of deadbeat, the time required for two motors to track the reference value of q-axis current is predicted independently. The basic effective vector which can track the q-axis current accurately in a control cycle is screened out. According to the characteristics that the switching state of the common leg must be consistent, the appropriate zero vector is selected to combine the vectors that meet the conditions, and the vector combination that makes the system performance reach the optimum is selected to act on the five-leg inverter to drive the two motors, so as to improve the operation performance of the system. The simulation results verify the feasibility and effectiveness of the proposed double-vector MPCC strategy.