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首页> 外文期刊>Power Electronics, IET >Model predictive control with improved discrete space vector modulation for three-level Vienna rectifier
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Model predictive control with improved discrete space vector modulation for three-level Vienna rectifier

机译:三级维也纳整流器的改进离散空间矢量调制模型预测控制

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摘要

This article proposes a model predictive control (MPC) with the discrete space vector modulation (DSVM) to reduce input current ripple of three-level Vienna rectifier. The finite control set MPC (FCS-MPC) applied in power converters has variable switching frequency and needs high sampling frequency for better input current quality. With the proposed approach, more feasible vectors can be used to improve the input current's performance with the DSVM using the virtual vectors. The DSVM-MPC features fixed switching frequency and should implement large numbers of virtual vectors with the calculation burden. The improved DSVM-MPC is proposed to optimise the MPC algorithm by selecting the adjacent feasible vectors according to the reference voltage vector trajectory. The effectiveness of the proposed method is verified by the experimental results in a Vienna rectifier platform, which shows that the proposed method possesses better input current performance compared with the FCS-MPC method.
机译:本文提出了一种具有离散空间矢量调制(DSVM)的模型预测控制(MPC),以减少三电平Vienna整流器的输入电流纹波。应用于功率转换器的有限控制集MPC(FCS-MPC)具有可变的开关频率,并且需要较高的采样频率才能获得更好的输入电流质量。通过提出的方法,可以使用更可行的矢量来通过使用虚拟矢量的DSVM改善输入电流的性能。 DSVM-MPC具有固定的开关频率,应实现大量的虚拟矢量,且计算量很大。提出了一种改进的DSVM-MPC,通过根据参考电压矢量轨迹选择相邻的可行矢量来优化MPC算法。在Vienna整流器平台上的实验结果验证了该方法的有效性,与FCS-MPC方法相比,该方法具有更好的输入电流性能。

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