A Hybrid Multivector Model Predictive Control for an Inner-Interleaved Hybrid Multilevel Converter
A Hybrid Multivector Model Predictive Control for an Inner-Interleaved Hybrid Multilevel Converter
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DOI：
10.1109/jestie.2022.3149452
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
Yufei Li;Fei Diao;Yue Zhao
中科院分区：
文献类型：
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作者：
Yufei Li;Fei Diao;Yue Zhao
针对内交错并联混合多电平变换器，提出了一种混合多矢量模型预测控制策略，该控制策略能够实现低频和高频级的分离。它开始使用的符号模式的参考矢量在静止参考帧，以确定开关状态的低频阶段。然后，将参考矢量转换为内部虚拟空间矢量图，再将内部虚拟空间矢量图转换为120°斜交坐标系，在该坐标系中选取相邻矢量。此外，电流跟踪是通过所选矢量的占空比优化来实现的。最后，一个对称的开关序列（SS），这是作为最好的一个直流电容器的电压平衡和环流抑制，是从所有的SS，属于三个选定的矢量与最佳占空比。所提出的方法减少了电流纹波和计算负担，同时实现恒定的等效开关频率。在全碳化硅样机上进行的综合实验结果验证了所提出的控制方法的有效性。
A hybrid multivector model predictive control strategy for an inner-interleaved hybrid multilevel converter is brought forward in this article, which can enable the separation of the low- and high-frequency stages. It initiates with the use of sign patterns of the reference vector in the stationary reference frame to determine switching states of the low-frequency stage. Then, the reference vector is converted to the inner virtual space vector diagram, which is further transformed into a 120° oblique coordinate system, where the adjacent vectors are selected. Further, the current tracking is realized through the duty cycle optimization of the chosen vectors. Finally, a symmetric switching sequence (SS), which serves as the best one for dc capacitors voltages balancing and circulating current suppression, is selected among all the SSs that belong to the three chosen vectors with optimal duty cycles. The proposed method reduces both current ripples and computational burden while achieving a constant equivalent switching frequency. Comprehensive experimental results performed on an all silicon-carbide prototype verify the effectiveness of the proposed control.