A multi-objective optimized control method for nonisolated dual three-phase permanent magnet synchronous motors with open-circuit fault

Abstract The zero-sequence current has long been a crucial challenge impeding the extensive application of non-isolated dual three-phase motors (NIDTP-PMSMs). To address this, a vector construction method based on model predictive control (MPC) is proposed, combined with a multi-vector, multi-space control strategy, enabling coordinated control of multiple subspaces current components and ensuring torque stability. By leveraging MPC’s ability to handle constraints and multi-variable systems, the impact of zero-sequence space currents on peak current and winding loss after single-phase open-circuit motor vector space decoupling (VSD) transformation is studied. A novel multi-objective optimization algorithm is then proposed to optimize the relationship between peak current and winding loss by adjusting the zero-sequence subspace current magnitude. This method can adjust the current amplitude in real time based on the peak current during motor operation, keeping the current below the maximum operating current and minimizing winding loss, reducing the risk of secondary accidents caused by overcurrent. Finally, simulations verify the effectiveness of the proposed strategy.

Authors

Institutions

Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3011/1/012062
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

A multi-objective optimized control method for nonisolated dual three-phase permanent magnet synchronous motors with open-circuit fault

Jie Zhang, Fei Yao
Journal of Physics Conference Series
Multilevel Inverters and Converters
article

A multi-objective optimized control method for nonisolated dual three-phase permanent magnet synchronous motors with open-circuit fault

Jie Zhang, Fei Yao
article en

Abstract

Abstract The zero-sequence current has long been a crucial challenge impeding the extensive application of non-isolated dual three-phase motors (NIDTP-PMSMs). To address this, a vector construction method based on model predictive control (MPC) is proposed, combined with a multi-vector, multi-space control strategy, enabling coordinated control of multiple subspaces current components and ensuring torque stability. By leveraging MPC’s ability to handle constraints and multi-variable systems, the impact of zero-sequence space currents on peak current and winding loss after single-phase open-circuit motor vector space decoupling (VSD) transformation is studied. A novel multi-objective optimization algorithm is then proposed to optimize the relationship between peak current and winding loss by adjusting the zero-sequence subspace current magnitude. This method can adjust the current amplitude in real time based on the peak current during motor operation, keeping the current below the maximum operating current and minimizing winding loss, reducing the risk of secondary accidents caused by overcurrent. Finally, simulations verify the effectiveness of the proposed strategy.

Journal of Physics Conference SeriesVol. 3011(1)
Donghua University (CN)
Openalex Percentile: Top 90%
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.

A multi-objective optimized control method for nonisolated dual three-phase permanent magnet synchronous motors with open-circuit fault — Jie Zhang, Fei Yao · Journal of Physics Conference Series (2025) | TGRS Research Map | TGRS