• DocumentCode
    2000564
  • Title

    A SyR and IPM machine design methodology assisted by optimization algorithms

  • Author

    Cupertino, F. ; Pellegrino, G.M. ; Armando, E. ; Gerada, C.

  • Author_Institution
    DEE, Politec. di Bari, Bari, Italy
  • fYear
    2012
  • fDate
    15-20 Sept. 2012
  • Firstpage
    3686
  • Lastpage
    3691
  • Abstract
    The design optimization of synchronous reluctance (SyR) machine and its extension to internal permanent magnet (IPM) motors for wide speed ranges is considered in this paper by means of a Finite Element Analysis-based multi-objective genetic algorithm (MOGA). The paper is focused on the rotor design, that is controversial key aspect of the design of high saliency SyR and IPM machines, due to the difficult modeling dominated by magnetic saturation. A three step procedure is presented, to obtain a starting SyR design with the optimal torque versus torque ripple compromise and then properly include PMs into the SyR geometry, given the desired constant power speed range of the final IPM machine. The designed rotors have been extensively analyzed by computer simulations and two SyR prototypes have been realized to demonstrate the feasibility of the design procedure.
  • Keywords
    finite element analysis; genetic algorithms; geometry; permanent magnet motors; reluctance motors; rotors; IPM machine design methodology; MOGA; SyR machine design methodology; computer simulations; finite element analysis-based multiobjective genetic algorithm; geometry; internal permanent magnet motors; magnetic saturation; optimal torque; optimization algorithms; rotor design; synchronous reluctance machine; three step procedure; torque ripple; DC motors; Geometry; Magnetic flux; Optimization; Permanent magnet motors; Rotors; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
  • Conference_Location
    Raleigh, NC
  • Print_ISBN
    978-1-4673-0802-1
  • Electronic_ISBN
    978-1-4673-0801-4
  • Type

    conf

  • DOI
    10.1109/ECCE.2012.6342478
  • Filename
    6342478