The conventional model predictive control (MPC) suffers from high common-mode voltage (CMV) magnitude and large current ripples. In this article, the reduced CMV MPC strategy with double vector (RCMV-MPCDV) is proposed for three-level inverters, which adopts double vector to reduce the CMV and current ripples simultaneously in per-sampling period. First, based on geometric relationship of median, a novel cost function that evaluates median line distance is proposed to reduce the computational complexity, rather than evaluating the closest distance. Second, in order to reduce the computational burden, the double vector preselection algorithm is presented with fewer evaluation times. Third, the candidate vectors are reclassified and regrouped from partial basic vectors, which restricts CMV magnitude within one-sixth of dc-link voltage. In addition, to select more satisfactory double vectors for RCMV-MPCDV scheme, two improved methods are proposed to compensate the losing candidate vectors. The simulation and experimental results with steady-state performance and dynamic response validate the effectiveness of the proposed method.

中文翻译：

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双矢量模型预测控制可降低三电平逆变器的无权重因子共模电压


传统的模型预测控制（MPC）存在高共模电压（CMV）幅度和大电流纹波的问题。本文提出了针对三电平逆变器的双向量降低CMV MPC策略（RCMV-MPCDV），该策略采用双向量在每个采样周期同时降低CMV和电流纹波。首先，基于中位数的几何关系，提出了一种评估中线距离的新颖成本函数，以降低计算复杂度，而不是评估最近距离。其次，为了减少计算负担，提出了评估次数较少的双向量预选算法。第三，候选向量从部分基本向量重新分类和重组，这将CMV幅度限制在直流母线电压的六分之一内。此外，为了为RCMV-MPCDV方案选择更满意的双向量，提出了两种改进方法来补偿丢失的候选向量。稳态性能和动态响应的仿真和实验结果验证了该方法的有效性。