Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.

中文翻译：

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三电平NPC变换器的PMSM低复杂度最优开关时间调制模型预测控制


传统的有限控制集模型预测控制（FCS-MPC）带来了很高的计算负担，特别是在三电平中性点钳位（NPC）转换器中。本文提出了一种用于三电平 NPC 转换器的低复杂度最优开关时间调制模型预测控制 (OST-M2PC) 方法。在所提出的 OST-M2PC 方法中，使用成本函数计算最佳切换时间。与传统的FCS-MPC相比，所提出的OST-M2PC方法具有固定的开关频率以及更好的电能质量。所提出的 OST-M2PC 可以在 20kHz 采样频率下运行，从而减少处理器的计算负担。仿真和实验结果验证了所提出方法的运行情况。