低复杂度永磁同步电机双矢量模型预测控制策略

针对永磁同步电机模型预测电流控制中计算量大和电流波动问题，提出了一种低复杂度双矢量模型预测电压控制策略。该方法无需遍历所有的电压矢量，仅通过代价函数预测和评估三个不相邻的有效电压矢量，根据三个代价函数值的关系，即可精确快速地确定两个相邻最优有效电压矢量。最优有效的电压矢量选择可以减少预测计算量，同时引入dq轴电压差作用时间计算方法，计算最优有效电压矢量作用时间，以降低计算量。仿真结果表明，相较于占空比策略和传统双矢量模型预测电流控制策略，所提控制策略在保证系统稳态和动态性能的基础上，降低了计算复杂度和电流波动，改善了转矩脉动。

Low Complexity Dual Vector Model Predictive Control Strategy for Permanent Magnet Synchronous Motor

In order to solve the problems of large computation and current fluctuations in the model predictive current control of permanent magnet synchronous motor, a low complexity dual vector model predictive voltage control strategy is proposed. This method predicts and evaluates three non-adjacent effective voltage vectors only through cost functions, and two adjacent optimal effective voltage vectors can be determined accurately and quickly based on the relationship between the values of three cost functions, without traversing all the voltage vectors. The optimal and effective voltage vector selection can reduce the prediction calculation, and the dq axis voltage difference action time calculation method is introduced to calculate the optimal effective voltage vector action time in order to reduce the calculation. The simulation results show that compared to the duty cycle strategy and the traditional dual vector model predictive current control strategy, the proposed control strategy can effectively reduce the computational complexity and current fluctuation and improve the torque ripple on the basis of ensuring the steady-state and dynamic performance of the system.