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Control Strategy of Three-Level NPC Inverter Based on Variable Coefficient Virtual Vector Model Predictive Control
IEEE Open Journal of Circuits and Systems Pub Date : 2022-11-23 , DOI: 10.1109/ojcas.2022.3218823
Weiquan Gu 1 , Huangzheng Liao 2 , Jiaqi Lin 2 , Zewen Li 3 , Tao Jin 2
Affiliation  

The Conventional model predictive control (C-MPC) uses only a single voltage vector in each control period, resulting in poor control performance. In addition, the computational burden in discrete space state generated by three-level inverter cannot be ignored. To improve the control performance, this paper proposes a variable coefficient virtual vector MPC (VC-VV-MPC) method, a five-level virtual space voltage vector is constructed to improve the control performance, and a scaling coefficient is used to further improve the control performance. In addition, a voltage vector pre-selection method is used to reduce the computational burden. The simulation and experiment results shown that, compare with C-MPC and adjacent vector MPC (AV-MPC), the proposed VC-VV-MPC can achieve the improvement of control performance under lower computational burden.

中文翻译:

基于变系数虚拟矢量模型预测控制的三电平NPC逆变器控制策略

传统模型预测控制(C-MPC)在每个控制周期仅使用单个电压矢量,导致控制性能较差。此外,三电平逆变器产生的离散空间状态的计算负担也不容忽视。为提高控制性能,本文提出了变系数虚拟向量MPC(VC-VV-MPC)方法,构建了五级虚拟空间电压向量来提高控制性能,并采用缩放系数进一步提高了控制性能。控制性能。此外,采用电压矢量预选的方法来减少计算量。仿真和实验结果表明,与C-MPC和相邻矢量MPC(AV-MPC)相比,所提出的VC-VV-MPC可以在较低的计算负担下实现控制性能的提高。
更新日期:2022-11-26
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