Influence of Rotor-Pole Number on Electromagnetic Performance in 12-Phase Redundant Switched Flux Permanent Magnet Machines for Wind Power Generation

Lingyun Shao, Wei Hua, Z. Q. Zhu, Minghao Tong, Guishu Zhao, Fangbo Yin, Zhongze Wu, Ming Cheng

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this paper, electromagnetic performances of 12-phase 24-stator-pole redundant switched flux permanent magnet (SFPM) machines with 20-, 22-, 26-, and 28-rotor-pole rotors designed for wind power generation are comparatively analyzed. The influence of key design parameters on the open-circuit phase electromotive force and cogging torque is comparatively evaluated by a 2-D finite-element analysis (FEA). FEA results show that the 24-/26-pole SFPM machine exhibits the highest electromagnetic torque and efficiency than the other three, while the 24-/22-pole one has the smallest cogging torque and torque ripple as well as relatively good voltage regulation and efficiency, which are essential for a wind generator. Furthermore, the investigation on redundancy performance shows that cross coupling among the four sets of three-phase balanced windings and the saturation effect can be neglected when the generator operates with relative light loads. Finally, the 12-phase 24-/22-pole SFPM machine is built and tested to validate the simulations.

Original languageEnglish
Article number7875405
Pages (from-to)3305-3316
Number of pages12
JournalIEEE Transactions on Industry Applications
Volume53
Issue number4
Early online date10 Mar 2017
DOIs
Publication statusPublished - 15 Jul 2017

Keywords

  • 12 phase
  • flux switching
  • permanent magnet (PM)
  • redundancy
  • stator/rotor pole
  • switched flux (SF)
  • wind power generation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

Influence of Rotor-Pole Number on Electromagnetic Performance in 12-Phase Redundant Switched Flux Permanent Magnet Machines for Wind Power Generation. / Shao, Lingyun; Hua, Wei; Zhu, Z. Q.; Tong, Minghao; Zhao, Guishu; Yin, Fangbo; Wu, Zhongze; Cheng, Ming.

In: IEEE Transactions on Industry Applications, Vol. 53, No. 4, 7875405, 15.07.2017, p. 3305-3316.

Research output: Contribution to journalArticle

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