算法
加权
控制理论(社会学)
模型预测控制
计算机科学
数学
控制(管理)
物理
声学
人工智能
作者
Shaomin Yan,Yue Cui,C. Li
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2024-06-01
卷期号:71 (6): 6095-6106
标识
DOI:10.1109/tie.2023.3294536
摘要
Conventional finite control set model predictive control (FCS-MPC) for three-phase three-level (3P-3L) converters suffers from cumbersome weighting factor design, variable switching frequency, and performance compromise in neutral point potential (NPP) and current. This article proposes a modulated FCS-MPC to eliminate weighting factor, fix switching frequency, and combine NPP balance performance with current tracking performance for 3P-3L T-type converter. First, a vector synthesis algorithm with NPP deviation suppression is adopted to improve vector accuracy for current tracking, and reduce NPP deviation by redundant vector duration time adjustment. Second, a zero-sequence component injection algorithm is proposed, which determines zero-sequence component amplitude according to capacitor charge balance algorithm, and balances NPP without weighting factor. Third, a dual carrier modulation mode is adopted to produce desired switching signals with constant frequency. Finally, advantages of proposed FCS-MPC are verified by simulation and experiment.
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