This paper presents a computational reduction algorithm for applying model predictive control to a three-level four-leg converter. An optimal switching state is selected by only considering 7 voltage vectors located near the reference voltage vector, rather than using 81 voltage vectors in every sampling period, as in the conventional method. The sector, prism, and tetrahedron are sequentially selected using the position of the reference voltage vector. In addition, the seven voltage vectors selected in advance are the vectors constituting the selected tetrahedron. Thus, the proposed method reduces the computational cost and provides an improved model predictive control that does not affect the performance. The proposed method comprises an experimental setup of the proposed three-level four-leg converter to compare its performance with that of the conventional method.

本文提出了一种将模型预测控制应用于三电平四桥臂转换器的计算简化算法。通过只考虑位于参考电压矢量附近的 7 个电压矢量来选择最佳开关状态，而不是像传统方法那样在每个采样周期使用 81 个电压矢量。使用参考电压矢量的位置依次选择扇形、棱柱和四面体。另外，预先选定的7个电压矢量是构成选定四面体的矢量。因此，所提出的方法降低了计算成本并提供了不影响性能的改进的模型预测控制。