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 and Shoudao Huang
Additional contact information
Zhimeng Rao: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Wenjuan Zhang: College of Electrical and Information Engineering, Changsha University, Changsha 410082, China
Gongping Wu: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Jian Zheng: College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
Shoudao Huang: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Energies, 2020, vol. 13, issue 21, 1-20

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; predictive torque control; mutual inductances (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/21/5606/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/21/5606/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:21:p:5606-:d:435281

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().