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Model predictive control with constant switching frequency using a discrete space vector modulation with virtual state vectors

机译:使用带有虚拟状态向量的离散空间向量调制,以恒定开关频率进行模型预测控制

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摘要

Finite states model predictive control (FS-MPC) appears as a promising control technique to be applied to power converters in the industry. However, the FS-MPC presents some drawbacks as non constant switching frequency and high sampling frequency. This work proposes a FS-MPC with constant switching frequency and low sampling frequency applying a discrete space vector modulation (DSVM) technique. The real state vectors of the converter are used together with new virtual state vectors forming switching sequences each sampling period. The advantages and disadvantages of the proposed FS-MPC with the DSVM are analysed using a two-level three-phase inverter connected to the grid as setup to introduce the proposed technique. Simulation results are presented, showing that using the proposed technique the switching frequency is fixed and the sampling frequency can be lowered without reducing the quality of the converter behaviour.
机译:有限状态模型预测控制(FS-MPC)似乎是一种有前途的控制技术,可应用于工业电源转换器中。但是,FS-MPC存在一些缺点,例如开关频率不稳定和采样频率高。这项工作提出了一种采用离散空间矢量调制(DSVM)技术的,具有恒定开关频率和低采样频率的FS-MPC。转换器的真实状态向量与新的虚拟状态向量一起使用,这些虚拟状态向量在每个采样周期内形成切换序列。通过将与电网连接的两级三相逆变器作为设置来介绍所提出的技术,来分析所提出的带有DSVM的FS-MPC的优缺点。仿真结果表明,使用所提出的技术,开关频率是固定的,并且采样频率可以降低而不会降低转换器性能的质量。

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