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High performance operation for a four-leg NPC inverter with two-sample-ahead predictive control strategy

机译：具有四采样前预测控制策略的四脚NPC逆变器的高性能运行

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In this paper is proposed a finite control-set model predictive control (FCS-MPC) strategy which uses a two-sample-ahead prediction horizon to achieve high-performance operation for a three-phase four-leg neutral-point-clamped (NPC) inverter with an output LC filter. The control strategy is proposed in order to minimize the error between the output voltages and their references, maintain equal voltage among the dc-link capacitors, and reduce the overall switching frequency of the inverter. One-sample-ahead and two-sample-ahead prediction horizon are evaluated and compared in terms of reference tracking error and THD, under steady-state and transient operating conditions with linear and non-linear loads. The experimental results demonstrate that the proposed two-sample-ahead prediction horizon is more suitable for high power applications where lower switching frequency operation is mandatory. (C) 2015 Elsevier B.V. All rights reserved.
机译：本文提出了一种有限控制集模型预测控制（FCS-MPC）策略，该策略使用提前两个采样的预测范围来实现三相四腿中性点钳位（NPC）的高性能操作）带有输出LC滤波器的逆变器。为了最小化输出电压与其参考电压之间的误差，保持直流链路电容器之间的电压相等并降低逆变器的总开关频率，提出了控制策略。在线性和非线性负载的稳态和瞬态工作条件下，评估并比较了提前一个样本和两个样本的预测范围，并根据参考跟踪误差和THD进行了比较。实验结果表明，所提出的提前两个采样的预测范围更适合于要求较低开关频率操作的高功率应用。 （C）2015 Elsevier B.V.保留所有权利。

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