• DocumentCode
    49250
  • Title

    Thrust Optimization of a Flux-Switching Linear Synchronous Machine With Yokeless Translator

  • Author

    Gandhi, Anshul ; Parsa, Leila

  • Author_Institution
    Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    49
  • Issue
    4
  • fYear
    2013
  • fDate
    Apr-13
  • Firstpage
    1436
  • Lastpage
    1443
  • Abstract
    Linear permanent magnet machines have been increasingly used in several applications that require high reliability and good dynamic characteristics. In this paper, a novel double-sided design of a 3φ permanent magnet flux-switching linear synchronous machine (FSLSM) with a yokeless translator is proposed. It is found that the proposed design can achieve more than 50% higher thrust than a conventional FSLSM and excellent linearity even under high excitation currents. Optimization of the proposed machine is performed using individual parameter optimization and is compared with results from global optimization using genetic algorithm (GA). Force analysis of the proposed design is performed to establish the mechanical integrity of the design. The proposed FSLSM is most suitable for long-stroke applications and intermittent oscillatory type applications.
  • Keywords
    genetic algorithms; linear machines; magnetic flux; magnetic switching; permanent magnet machines; synchronous machines; FSLSM; GA; double-sided design; dynamic characteristics; excitation currents; force analysis; genetic algorithm; intermittent oscillatory type applications; linear permanent magnet machines; long-stroke applications; mechanical integrity; parameter optimization; permanent magnet flux-switching linear synchronous machine; thrust optimization; yokeless translator; Force; Optimization; Permanent magnet motors; Stator windings; Synchronous motors; Topology; Flux-switching; linear motor; optimization; permanent magnet machine;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2012.2221275
  • Filename
    6317188