• DocumentCode
    2392343
  • Title

    Genetic algorithms in design of a synchronous reluctance motor

  • Author

    Zagirnyak, Mykhaylo V. ; Maga, Dusan ; Miljavec, Damijan

  • Author_Institution
    Kremenchuk Mykhailo Ostrohradskyi Nat. Univ., Kremenchuk, Ukraine
  • fYear
    2011
  • fDate
    1-3 June 2011
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    The work handles with dependency of variations in the rotor design on the performance of a three phase synchronous-reluctance motor (SRM). Analytical geometry-dependant equations for the d- and q-axis SRM magnetizing inductances are derived. The finite element analyze was used to include the magnetic nonlinearities and saturation effects on SRM performance calculation. The use of genetic algorithms (GA) as global optimization procedure in generating and optimization of un-predetermined rotor shape is shown. Rotor materials used in this analyze have two characteristics: non-ferromagnetic and nonlinear ferromagnetic. Goal of un-predetermined rotor design optimization is to achieve maximum torque for a given rotor volume.
  • Keywords
    finite element analysis; genetic algorithms; reluctance motors; rotors; analytical geometry dependant equations; finite element analysis; genetic algorithms; nonferromagnetic; nonlinear ferromagnetic; performance calculation; rotor materials; saturation effects; three phase synchronous reluctance motor; unpredetermined rotor design optimization; Magnetic flux; Reluctance motors; Rotors; Saturation magnetization; Stator windings; Torque; genetic algorithms; magnetizing inductances; optimization; synchronous-reluctance motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MECHATRONIKA, 2011 14th International Symposium
  • Conference_Location
    Trencianske Teplice
  • Print_ISBN
    978-1-61284-821-1
  • Type

    conf

  • DOI
    10.1109/MECHATRON.2011.5961075
  • Filename
    5961075