LAPSE:2023.22353
Published Article

LAPSE:2023.22353
Predictive Power Control of Novel N*3-phase PM Energy Storage Motor for Urban Rail Transit
March 24, 2023
Abstract
High power density energy storage permanent magnet (PM) motor is an important energy storage module in flywheel energy storage system for urban rail transit. To expand the application of the PM motor in the field of urban rail transit, a predictive power control (PPC) strategy for the N*3-phase PM energy storage motor is proposed in this paper. Firstly, the output characteristics of the N*3-phase PM energy storage motor are analyzed by using the finite element method, and the mathematical model of the N*3-phase PM energy storage motor is established. Then, the topological structure and operation principle of N*3-phase PM energy storage motor system is illustrated. Furthermore, the N*3-phase PM energy storage motor system driven by six parallel voltage source inverters (VSIs) is proposed to generate the required power. Finally, a novel predictive direct power control method is developed for the N*3-phase PM energy storage motor. The feasibility and effectively of the proposed PPC method are verified by experiment and simulation. Comprehensive simulation and experimental results both show that the proposed PPC method can obtain the lower torque/stator flux ripple, smaller values of THD of stator winding currents, and zero error tracking of stator winding flux.
High power density energy storage permanent magnet (PM) motor is an important energy storage module in flywheel energy storage system for urban rail transit. To expand the application of the PM motor in the field of urban rail transit, a predictive power control (PPC) strategy for the N*3-phase PM energy storage motor is proposed in this paper. Firstly, the output characteristics of the N*3-phase PM energy storage motor are analyzed by using the finite element method, and the mathematical model of the N*3-phase PM energy storage motor is established. Then, the topological structure and operation principle of N*3-phase PM energy storage motor system is illustrated. Furthermore, the N*3-phase PM energy storage motor system driven by six parallel voltage source inverters (VSIs) is proposed to generate the required power. Finally, a novel predictive direct power control method is developed for the N*3-phase PM energy storage motor. The feasibility and effectively of the proposed PPC method are verified by experiment and simulation. Comprehensive simulation and experimental results both show that the proposed PPC method can obtain the lower torque/stator flux ripple, smaller values of THD of stator winding currents, and zero error tracking of stator winding flux.
Record ID
Keywords
N*3-phase PM energy storage motor, predictive power control, urban rail transit
Subject
Suggested Citation
Zhang W, Wu G, Rao Z, Zheng J, Luo D. Predictive Power Control of Novel N*3-phase PM Energy Storage Motor for Urban Rail Transit. (2023). LAPSE:2023.22353
Author Affiliations
Zhang W: College of Electrical and Information Engineering, Changsha University, Changsha 410022, China
Wu G: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Rao Z: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China [ORCID]
Zheng J: College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
Luo D: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Wu G: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Rao Z: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China [ORCID]
Zheng J: College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
Luo D: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Journal Name
Energies
Volume
13
Issue
7
Article Number
E1578
Year
2020
Publication Date
2020-04-01
ISSN
1996-1073
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Original Submission
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PII: en13071578, Publication Type: Journal Article
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LAPSE:2023.22353
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https://doi.org/10.3390/en13071578
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Mar 24, 2023
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