永磁同步电机双矢量模型预测磁链控制

针对传统模型预测转矩控制定子磁链和转矩脉动大、计算负担重、权重系数调节繁杂的问题，提出了一种基于定子磁链矢量跟踪误差最小化的双矢量模型预测磁链控制方法。首先，将传统模型预测中定子磁链和转矩误差的价值函数转化为对定子磁链跟踪误差的价值函数，避免了权重系数的整定；接着基于无差拍思想预测出参考电压矢量，减轻了处理器计算负担；然后为进一步改善系统稳定性，引入了双矢量占空比计算方法；最后，基于磁链矢量跟踪误差最小化原理，确定所选电压矢量的持续时间。通过实验验证所提控制策略的正确性与有效性，结果表明相较于传统模型预测转矩控制，所提出的双矢量模型预测磁链控制提高了永磁同步电机控制系统的动、稳态运行性能。

Two-Vector Synthetic Model Predictive Flux Control for Permanent Magnet Synchronous Motor

A two-vector synthetic model predictive flux control (TVS-MPFC) with flux vector tracking error minimization was proposed, which was used to deal with the problems of traditional model predictive torque control (MPTC), such as the large pulsation of stator flux and torque, heavy calculation load and weight factor adjustment. Firstly, the error cost function of the stator flux and torque in traditional model predictive control was transformed into the cost function of stator flux tracking error, which avoided the setting of weight factor. Next, the reference voltage vector was predicted on basis of the deadbeat idea, which reduced the calculation burden of processor. Then, in order to further improve the stability of the system, a two-vectors duty cycle calculation method was introduced. Finally, based on the principle of flux vector tracking error minimization, the duration of the selected voltage vector was determined. The correctness and effectiveness of the TVS-MPFC were verified by experiments. The results show that the TVS-MPFC improves the dynamic and steady-state operation performance of permanent magnet synchronous motor control system in contrast with the traditional MPTC.