• DocumentCode
    1926019
  • Title

    Design of synchronous reluctance machines with multi-objective optimization algorithms

  • Author

    Cupertino, Francesco ; Pellegrino, Gianmario ; Gerada, Chris

  • Author_Institution
    DEI, Politec. di Bari, Bari, Italy
  • fYear
    2013
  • fDate
    15-19 Sept. 2013
  • Firstpage
    1858
  • Lastpage
    1865
  • Abstract
    The design optimization of synchronous reluctance (SyR) machines is considered in this paper by means of a Finite Element Analysis-based multi-objective optimization algorithm (MOOA). The research focuses on the design of the rotor geometry which is the key aspect of SyR machines design. In particular, this digest analyzes the performance of several popular MOOAs and the impact of their settings on the quality of the final design. A procedure to minimize the computational burden of the optimization process is introduced and applied for the first time to a five layer rotor. A rotor prototype has been realized to demonstrate the feasibility of the design procedure.
  • Keywords
    finite element analysis; optimisation; reluctance machines; rotors; MOOA; computational burden; finite element analysis; five layer rotor; multiobjective optimization algorithms; optimization process; quality of the final design; rotor geometry; synchronous reluctance machines; Convergence; Geometry; Optimization; Rotors; Sociology; Statistics; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2013 IEEE
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/ECCE.2013.6646934
  • Filename
    6646934