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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Minimization of common-mode voltage for matrix converter-fed permanent magnet synchronous motor system with model predictive control

Shuxin Xiao, Quanhong Chu, Shu Gong, Shanhu Li et al.
Microelectronics International
Multilevel Inverters and Converters
article

Minimization of common-mode voltage for matrix converter-fed permanent magnet synchronous motor system with model predictive control

Shuxin Xiao, Quanhong Chu, Shu Gong, Shanhu Li, Huihua Feng
article en

Abstract

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.

Microelectronics International
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)
Openalex Percentile: Top 72%
Multilevel Inverters and Converters
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.