Influence of Pole Pitch Ratio on Performance of Segmented-stator Tubular Flux Switching Permanent Magnet Linear Generator

Authors

  • Rui Nie School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China
  • Hao Zhang School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China
  • Yifei Jia School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China
  • Guozhen Zhang School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China
  • Zhongwen Li School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China
  • Jikai Si School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China
  • Jing Liang School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China

DOI:

https://doi.org/10.13052/2024.ACES.J.400914

Keywords:

Detent force, electromagnetic design, performance analysis, pole pitch ratio, segmented-stator, tubular flux-switching permanent magnet linear generator

Abstract

Tubular Flux-Switching Permanent Magnet Linear Generator (TFSPMLG) has high winding utilization and no radial force, which is one of the most competitive generators in direct-drive wave energy conversion system. In this paper, a Segmented-Stator TFSPMLG (SS-TFSPMLG) is proposed to solve the problems of large detent force and three-phase unbalance of TFSPMLG, and the influence of different pole pitch ratios on performance is researched for judging a proper topology for the SS-TFSPMLG. First, its topology and operation mechanism are analyzed to prove the feasibility of the generator. Second, the structural parameters of 12-slot SS-TFSPMLG with four different pole pitch ratios are calculated, and the corresponding winding arrangement is determined. The electromagnetic performances of the SS-TFSPMLG with four different pole pitch ratios are simulated and compared, including static characteristics and output characteristics. Finally, the SS-TFSPMLG topology suitable for wave power generation is determined, which lays an important foundation for the follow-up study of SS-TFSPMLG.

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Author Biographies

Rui Nie, School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China

Rui Nie received a B.S. degree in electrical engineering from Henan Polytechnic University, Jiaozuo, China, in 2015, and a Ph.D. degree in electrical engineering from the China University of Mining and Technology, Xuzhou, China, in 2020. She is currently an assistant research fellow at Zhengzhou University. Her current research interests include two-degree-of-freedom machines, linear motor design and control, and renewable energy generation technology.

Hao Zhang, School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China

Hao Zhang was born in Henan, China, in 2001. He received the B.S. degree in electrical engineering and automation from China University of Petroleum, Qingdao, China, in 2023. He is currently working toward the M.S. degree in School of Electrical Engineering of Zhengzhou University, Zhengzhou, Henan. His research interests include renewable energy generation technology, and two-degree-of-freedom motor control.

Yifei Jia, School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China

Yifei Jia was born in Henan, China, in 1999. She received the B.S. degree in electrical engineering and automation from Shanghai University of Electric Power, Shanghai, China, in 2021. She is currently working toward the M.S. degree in School of Electrical Engineering of Zhengzhou University, Zhengzhou, Henan. Her research interests include linear rotary generator design and optimization, and renewable energy generation technology.

Guozhen Zhang, School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China

Guozhen Zhang was born in Anhui Province, China, in 1996. He received the B.S. degree in Electrical Engineering from Henan University of Technology in 2020, and the M.S. degree in Electrical Engineering with the School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China. His research interests include the design and optimization of two-degree-of-freedom machines and linear machines.

Zhongwen Li, School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China

Zhongwen Li received the B.S. degree from Zhengzhou University, Zhengzhou, China, in 2011, and the Ph.D. degree from the Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China, in 2017. He is currently an Associate Professor with the School of Electrical Engineering, Zhengzhou University. His main research interests include distributed control and multi-agent system.

Jikai Si, School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China

Jikai Si received a B.S. degree in electrical engineering and automation from the Jiaozuo Institute of Technology, Jiaozuo, China, in 1998; the M.S. degree from Henan Polytechnic University, Jiaozuo, China, in 2005; and the Ph.D. degree in 2008 from the China University of Mining and Technology, Xuzhou, China. He is currently a distinguished professor at Zhengzhou University. His main research interests include the theory and control of special motors.

Jing Liang, School of Electrical and Information Engineering Zhengzhou University, Zhengzhou 450001, China

Jing Liang received a B.E. degree from Harbin Institute of Technology, Harbin, China, in 2003, and a Ph.D. degree from Nanyang Technological University, Singapore, in 2009. She is currently a Professor at the School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China. Her main research interests are evolutionary computation, swarm intelligence, multi-objective optimization, and neural network. She currently serves as an Associate Editor for IEEE Transactions on Evolutionary Computation and Swarm and Evolutionary Computation.

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Published

2025-09-30

How to Cite

[1]
R. . Nie, “Influence of Pole Pitch Ratio on Performance of Segmented-stator Tubular Flux Switching Permanent Magnet Linear Generator”, ACES Journal, vol. 40, no. 09, pp. 934–944, Sep. 2025.

Issue

2025: Vol 40 Iss 9

Section

Advances in Analysis, Design and Control of Switched Reluctance Machines

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