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Finite control set model predictive current control of the Coupled-Inductor Buck–Boost DC–DC Switching Converter

机译:耦合电感器Buck-Boost DC-DC开关变换器的有限控制集模型预测电流控制

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There are numerous studies that have proven the advantages of the coupled-inductor buck-boost dc-dc switching converter to manage the power in different hybrid system topologies. Features such as noninverting voltage step up and step down characteristic, wide-bandwidth, high efficiency, the ability to regulate the input or output currents with the facility to change current regulation loop between them in a sudden and smooth manner, among other benefits, have increased interest in this converter. However, until now it has only been reported an analog current control small-signal model that has been linearized about a quiescent operating point. In this article, model predictive control (MPC) by the coupled-inductor buck- boost input current is presented with the goal of extend its operation point domain in comparison with the small-signal based regulator. The finite control set MPC (FCS-MPC) updates at every switching cycle the state which minimizes the cost function. This function simultaneously improves the current tracking and reduces the converter power losses. The theoretical analysis have been validated by means of simulations to illustrate the advantages of the proposed predictive control.
机译:有大量研究证明了耦合电感降压-升压型dc-dc开关转换器在管理不同混合系统拓扑中的功率方面的优势。同相电压的升压和降压特性,宽带,高效率,具有调节输入或输出电流的能力,以及利用其以突然且平滑的方式改变它们之间的电流调节环路的功能等特性,这些优点包括:对这个转换器的兴趣增加。但是,到目前为止,仅报道了一个模拟电流控制小信号模型,该模型已在静态工作点附近线性化。在本文中,与基于小信号的调节器相比,提出了一种由耦合电感器降压-升压输入电流进行的模型预测控制(MPC),目的是扩展其工作点域。有限控制集MPC(FCS-MPC)在每个开关周期更新状态,从而使成本函数最小化。该功能可同时改善电流跟踪并减少转换器的功率损耗。通过仿真验证了理论分析,以说明所提出的预测控制的优势。

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