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Model Predictive Control for Vienna Rectifiers Based on Virtual Vectors
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Xingtian FENG  Member, CPSS, Xu SONG  Student Member, CPSS, Xianglong MENG  Student Member, CPSS
Journal of Power Supply | 2026, 24(9) : 43 - 52
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Journal of Power Supply | 2026, 24(9): 43-52
• Power Converter Modeling and Control •
Model Predictive Control for Vienna Rectifiers Based on Virtual Vectors
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Xingtian FENG  Member, CPSS, Xu SONG  Student Member, CPSS, Xianglong MENG  Student Member, CPSS
Affiliations
  • College of New Energy, China University of Petroleum (East China), Qingdao 266580, China
Published: 2026-09-30 doi: 10.13234/j.issn.2095-2805.2026.9.43
Outline
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Aiming at the problem that the traditional finite control set-model predictive control (FCS-MPC) has poor control effect at low switching frequency and it is difficult to eliminate current distortion, suppress current ripple and adjust neutral point voltage balance when realizing multi-objective control, a model predictive control strategy based on virtual voltage vectors for Vienna rectifiers is proposed. By constructing 8 new virtual voltage vectors to expand the control set, multiple basic vectors are output in one control cycle, which significantly improves the current control accuracy. By analyzing the causes of current distortion, the use of vectors that cause current distortion is restricted to eliminate current distortion. In addition, the virtual vectors and the basic vectors are used to adjust the neutral point potential together without weight factor. Finally, the experimental verification is carried out from multiple dimensions of steady state, dynamic state, neutral point potential balance control and so on. The results show that the proposed method has good steady state and dynamic performance.

Vienna rectifier  /  virtual vectors  /  model predictive control  /  midpoint potential balance
冯兴田中国电源学会会员, 宋旭中国电源学会学生会员, 孟祥龙中国电源学会学生会员. 基于虚拟矢量的Vienna整流器模型预测控制. 电源学报, 2026 , 24 (9) : 43 -52 . DOI: 10.13234/j.issn.2095-2805.2026.9.43
Xingtian FENG, Xu SONG, Xianglong MENG. Model Predictive Control for Vienna Rectifiers Based on Virtual Vectors[J]. Journal of Power Supply, 2026 , 24 (9) : 43 -52 . DOI: 10.13234/j.issn.2095-2805.2026.9.43
Funding
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  • National Natural Science Foundation of China(52130706)
  • Case Library of High Quality Professional Degree Teaching for Graduate Students in Shandong Province(SDYAL2023028)
Appendix
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Year 2026 volume 24 Issue 9
59
13
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.9.43
  • Receive Date：2024-11-06
  • Online Date：2026-10-29
  • Published：2026-09-30
Article Data
Affiliations
History
  • Received：2024-11-06
  • Revised：2025-01-11
  • Accepted：2025-01-19
Funding
National Natural Science Foundation of China(52130706)
Case Library of High Quality Professional Degree Teaching for Graduate Students in Shandong Province(SDYAL2023028)
Affiliations
    College of New Energy, China University of Petroleum (East China), Qingdao 266580, China
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