Implementation of Model Predictive Control for High-Speed PMSM Under Low Switching-to-Fundamental Frequency Ratio

High-speed permanent magnet synchronous motors (HSPMSMs) operating at a low switching-to-fundamental frequency ratio (SFFR) often experience degraded dynamic performance. In response to the performance limitations of HSPMSMs under low SFFR, this paper proposes a circular boundary constrained model predictive control (MPC) method. By constraining the maximum distortion of stator current, the proposed method maintains high dynamic performance while reducing torque ripple and switching loss. The application of circular boundary constrained MPC to the control of HSPMSMs under low SFFR provides a novel approach for enhancing control accuracy. Testing results at low SFFR validate the effectiveness of the proposed MPC method implemented on HSPMSM.

Authors

Institutions

Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/precede63178.2025.11130977
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of Model Predictive Control for High-Speed PMSM Under Low Switching-to-Fundamental Frequency Ratio

Xiaofeng Ding, Mario Pacas, Lingyi Li, J. Holtz et al.
Industrial Technology and Control Systems
article

Implementation of Model Predictive Control for High-Speed PMSM Under Low Switching-to-Fundamental Frequency Ratio

Xiaofeng Ding, Mario Pacas, Lingyi Li, J. Holtz, Jianing Zhang, Xin Qi, Ziyi Song
article en

Abstract

High-speed permanent magnet synchronous motors (HSPMSMs) operating at a low switching-to-fundamental frequency ratio (SFFR) often experience degraded dynamic performance. In response to the performance limitations of HSPMSMs under low SFFR, this paper proposes a circular boundary constrained model predictive control (MPC) method. By constraining the maximum distortion of stator current, the proposed method maintains high dynamic performance while reducing torque ripple and switching loss. The application of circular boundary constrained MPC to the control of HSPMSMs under low SFFR provides a novel approach for enhancing control accuracy. Testing results at low SFFR validate the effectiveness of the proposed MPC method implemented on HSPMSM.

University of Wuppertal (DE), Beijing Electronic Science and Technology Institute (CN), University of Siegen (DE), Beijing University of Technology (CN), Beihang University (CN), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 72%
Industrial Technology and Control Systems
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.

Implementation of Model Predictive Control for High-Speed PMSM Under Low Switching-to-Fundamental Frequency Ratio — Xiaofeng Ding, Mario Pacas, et al. · (2025) | TGRS Research Map | TGRS