Apart from the basic voltage vectors of a inverter, virtual vectors can be generated by discrete space vector modulation (DSVM) technique. Thus, DSVM based-model predictive control (MPC) can achieve reduced torque ripples and current harmonics for a permanent magnet synchronous machine (PMSM) drive. However, the computational burden is also significantly increased due to a large number of candidate voltage vectors. In this article, a novel DSVM-based MPC is proposed, which can select the optimal voltage vector and calculate three-phase duty ratios in an efficient way without enumerating all the candidate voltage vectors, hence achieving good performance with low computational burden. The effectiveness of the proposed method is validated by the presented experimental results.

中文翻译：

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基于通用离散空间矢量调制的PMSM驱动器模型预测控制

除了逆变器的基本电压矢量之外，还可以通过离散空间矢量调制（DSVM）技术生成虚拟矢量。因此，基于DSVM的模型预测控制（MPC）可以减少永磁同步电机（PMSM）驱动器的转矩脉动和电流谐波。然而，由于大量候选电压矢量，计算负担也显着增加。在本文中，提出了一种新颖的基于DSVM的MPC，该方法可以选择最佳电压矢量并以高效方式计算三相占空比，而无需枚举所有候选电压矢量，从而以较低的计算负担实现了良好的性能。提出的实验结果验证了该方法的有效性。