LAPSE:2023.27238
Published Article
LAPSE:2023.27238
Characteristic Analysis and Predictive Torque Control of the Modular Three-Phase PMSM for Low-Voltage High Power Application
Zhimeng Rao, Wenjuan Zhang, Gongping Wu, Jian Zheng, Shoudao Huang
April 4, 2023
Abstract
In this study, a novel modular three-phase permanent magnet synchronous motor (PMSM) is proposed for low-voltage high power applications. The proposed modular three-phase PMSM has an independent segregated three-phase winding configuration, facilitating the implementation of the control algorithm. Firstly, on the basis of the electromagnetic properties, the mathematical model of the modular three-phase PMSM is established, considering the asymmetrical mutual inductances investigated by finite element analysis (FEA). Then, the predictive torque control (PTC) method combining the inductance characteristics of modular three-phase PMSM is developed, and excellent performance is obtained by adjusting the stator flux and torque. Finally, simulation and experiment are performed, and the results show that the proposed novel modular three-phase PMSM with the PTC method exhibits excellent control performance, and small stator current total harmonic distortion (THD).
Keywords
modular three-phase permanent magnet synchronous motor (PMSM), finite element analysis, mutual inductances, predictive torque control
Subject
Suggested Citation
Rao Z, Zhang W, Wu G, Zheng J, Huang S. Characteristic Analysis and Predictive Torque Control of the Modular Three-Phase PMSM for Low-Voltage High Power Application. (2023). LAPSE:2023.27238
Author Affiliations
Rao Z: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Zhang W: College of Electrical and Information Engineering, Changsha University, Changsha 410082, China
Wu G: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Zheng J: College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
Huang S: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Journal Name
Energies
Volume
13
Issue
21
Article Number
E5606
Year
2020
Publication Date
2020-10-27
ISSN
1996-1073
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PII: en13215606, Publication Type: Journal Article
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LAPSE:2023.27238
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https://doi.org/10.3390/en13215606
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