The finite-control-set model predictive control (FCS-MPC) has been widely studied to control voltage source converters (VSCs) due to its fast-dynamic response and robustness. To design an FCS-MPC for a three-level VSC, it is necessary to design a multiobjective cost function, which usually consists of a term dedicated to control the neutral-point voltage (NP-V) of the VSC dc link. Nevertheless, selecting weighting factors for the multiple control objectives is time consuming. To address this issue, this article proposes a new FCS-MPC, which only uses voltage vectors and virtual voltage vectors that do not affect the NP-V, such that an inherent dc-link voltage balancing can be achieved. The proposed approach not only simplifies the controller design by using a simplified cost function, which significantly reduces the execution time of the MPC, but also eliminates the voltage and current sensors for the dc link. Moreover, the proposed MPC can improve the quality of VSC output waveforms. The simulation studies are carried out to verify the superiority of the proposed MPC over the existing ones. The effectiveness of the presented FCS-MPC is also experimentally validated on a T-type converter prototype.

中文翻译：

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基于虚拟空间矢量的模型预测控制用于三电平T型转换器的固有DC链路电压平衡

有限控制集模型预测控制（FCS-MPC）由于其快速动态响应和鲁棒性而被广泛研究以控制电压源转换器（VSC）。要为三级VSC设计FCS-MPC，必须设计一个多目标成本函数，该函数通常由专用于控制VSC直流链路中性点电压（NP-V）的术语组成。然而，为多个控制目标选择加权因子是费时的。为了解决这个问题，本文提出了一种新的FCS-MPC，它仅使用不影响NP-V的电压矢量和虚拟电压矢量，从而可以实现固有的直流母线电压平衡。所提出的方法不仅通过使用简化的成本函数来简化控制器设计，从而显着减少了MPC的执行时间，而且也消除了直流链路的电压和电流传感器。此外，提出的MPC可以改善VSC输出波形的质量。进行了仿真研究，以验证所提出的MPC相对于现有MPC的优越性。提出的FCS-MPC的有效性也在T型转换器原型上进行了实验验证。