• DocumentCode
    1556331
  • Title

    Genetic Algorithm Approach for Improved Design of a Variable Speed Axial-Flux Permanent-Magnet Synchronous Generator

  • Author

    Rostami, Naghi ; Feyzi, M. Reza ; Pyrhönen, Juha ; Parviainen, Asko ; Behjat, Vahid

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Est Azarbayjan, Iran
  • Volume
    48
  • Issue
    12
  • fYear
    2012
  • Firstpage
    4860
  • Lastpage
    4865
  • Abstract
    Optimal design for an axial-flux permanent magnet synchronous generator (AFPMSG) using genetic algorithm (GA) is presented, and the condition for minimum active material cost is deduced. A computer-aided design procedure based on the results of the GA is proposed. In the design procedure the practical and performance characteristics are taken into account as some restrictions for the object function used in the optimization algorithm. A 30-kW AFPMSG with two parallel connected stators and rotor-surface PMs is designed using the developed program, and then 3-D finite-element analyses are carried out to validate the design procedure.
  • Keywords
    finite element analysis; genetic algorithms; permanent magnet generators; rotors; stators; synchronous generators; variable speed drives; 3D finite element analysis; computer-aided design procedure; genetic algorithm; minimum active material cost; optimization algorithm; power 30 kW; rotor; stator; variable-speed axial-flux permanent-magnet synchronous generator; Generators; Genetic algorithms; Materials; Optimization; Permanent magnets; Stators; Torque; Axial flux machines; finite element (FE) analysis; genetic algorithm (GA); permanent magnet (PM) generators;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2012.2204764
  • Filename
    6237530