• DocumentCode
    709932
  • Title

    A novel partitioned stator flux reversal permanent magnet linear machine

  • Author

    Shuraiji, Ahlam L. ; Zhu, Z.Q. ; Lu, Q.F.

  • Author_Institution
    Univ. of Sheffield, Sheffield, UK
  • fYear
    2015
  • fDate
    March 31 2015-April 2 2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A novel partitioned stator flux reversal permanent magnet (PS-FRPM) linear machine with segmented iron mover is introduced. The operation principle of the PS-FRPM linear machine is described, and the optimisation of the machine leading design parameters for maximum thrust force using genetic algorithm has been carried out. Moreover, in order to investigate the longitudinal end effect on the machine performance a periodic model has been employed to compare with the real model. It is found that the end effect has a significant impact on the machine performance, particularly in terms of unbalanced magnetic circuit and cogging force. Additionally, the influence of the mover iron pole numbers on the electromagnetic performance of PS-FRPM linear machines has been examined, i.e. 6/4, 6/5, 6/7, 6/8, 6/10 and 6/11 stator/mover pole combinations are designed and compared. It is concluded that the machine with a mover pole pitch which is closer to the stator slot pitch exhibits the best performance among the others.
  • Keywords
    genetic algorithms; linear machines; magnetic circuits; permanent magnet machines; stators; PS-FRPM linear machine; cogging force; electromagnetic performance; genetic algorithm; longitudinal end effect; maximum thrust force; mover pole pitch; partitioned stator flux reversal permanent magnet linear machine; segmented iron mover; stator slot pitch; stator-mover pole combinations; the mover iron pole numbers; unbalanced magnetic circuit; Lead; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ecological Vehicles and Renewable Energies (EVER), 2015 Tenth International Conference on
  • Conference_Location
    Monte Carlo
  • Print_ISBN
    978-1-4673-6784-4
  • Type

    conf

  • DOI
    10.1109/EVER.2015.7112952
  • Filename
    7112952