• DocumentCode
    2277095
  • Title

    Optimal design of PM assisted synchronous reluctance generators using lumped parameter model and Differential Evolution Strategy

  • Author

    Baek, Jeihoon ; Rahimian, Mina M. ; Toliyat, Hamid A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2009
  • fDate
    20-24 Sept. 2009
  • Firstpage
    2453
  • Lastpage
    2459
  • Abstract
    This paper presents the design of high performance permanent magnet-assisted synchronous reluctance generators (PMa-SynRG) for the 3 kW tactical quiet generator set. By introducing a proper quantity of permanent magnets into the synchronous reluctance generator rotor core an extended constant power-speed range at high efficiency and high power factor can be achieved. Different stator winding configurations i.e. distributed winding and concentrated winding of PMa-SynRG are compared using an analytical model based on lumped parameter model (LPM). For comparison, initially the distributed winding machine is optimized using differential evolution strategy (DES) and then the rotor structure of concentrated winding machine is optimized using the same stator. Finally, output performances are compared using finite element analysis. This design process is developed for optimized design of PMa-SynRG with minimum magnet volume, cogging torque and maximum efficiency and power factor.
  • Keywords
    finite element analysis; permanent magnet generators; power factor; reluctance generators; cogging torque; concentrated winding machine; differential evolution strategy; finite element analysis; lumped parameter model; maximum efficiency; minimum magnet volume; permanent magnet-assisted synchronous reluctance generators; power 3 kW; power factor; rotor structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition, 2009. ECCE 2009. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-2893-9
  • Electronic_ISBN
    978-1-4244-2893-9
  • Type

    conf

  • DOI
    10.1109/ECCE.2009.5316225
  • Filename
    5316225