Minimization of common-mode voltage for matrix converter-fed permanent magnet synchronous motor system with model predictive control
Purpose To eliminate common-mode voltage (CMV), this paper aims to use rotation vectors as an alternative vector set for model predictive control (MPC). Design/methodology/approach Aiming at the problem of large current harmonics and torque fluctuations caused by uneven distribution of rotation vectors, this paper uses virtual vectors synthesized by rotation vectors to expand the control set, and synthesizes 2, 1 or 0 virtual vectors under different input voltage phase conditions, so that the overall distribution of alternative vectors tends to be uniform. Findings It can be seen through experiments that the steady-state performance of MC-PMSM system under the proposed MPC method is better than that of conventional MPC using rotation vector, and the elimination of CMV is also achieved. Originality/value MPC is commonly used for permanent magnet synchronous motor systems fed by various converters. For PMSM systems fed by matrix converters (MCs), the active vectors and zero vectors of MC are mainly used as alternative vector sets. However, this creates CMV, which negatively affects system stability and security.
Authors
- Shuxin Xiao (ORCID: https://orcid.org/0000-0001-9854-6455)
- Quanhong Chu
- Shu Gong (ORCID: https://orcid.org/0000-0001-6904-1706)
- Shanhu Li (ORCID: https://orcid.org/0000-0002-5993-8349)
- Huihua Feng (ORCID: https://orcid.org/0000-0001-7713-4531)
Institutions
- Beijing Institute of Technology (CN)
- Hebei University of Technology (CN)
- Beijing Electronic Science and Technology Institute (CN)
- China North Industries Group Corporation (China) (CN)
- Tianjin Internal Combustion Engine Research Institute (CN)
- Beijing Research Institute of Mechanical and Electrical Technology (CN)
Publication Details
- Journal
- Microelectronics International
- Published
- 2025-10-07
- DOI
- https://doi.org/10.1108/mi-05-2025-0089
- Primary Topic
- Multilevel Inverters and Converters
- Type
- article
- Field-Weighted Citation Impact
- 0.00