• DocumentCode
    603023
  • Title

    An analytical design model for wound rotor synchronous machines

  • Author

    Laldin, Omar ; Sudhoff, Scott D. ; Pekarek, S.D.

  • Author_Institution
    Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2013
  • fDate
    22-24 April 2013
  • Firstpage
    228
  • Lastpage
    236
  • Abstract
    Optimization-based design of electric machinery over a large design space requires the use of computationally efficient models to predict machine behavior. In this work, an analytical design model is developed for wound rotor synchronous machines (WRSMs), a key technology for power generation in marine applications. The model is designed to be used in a rigorous multi-objective optimization algorithm, providing the trade-off between competing mass and loss objectives. A formalized approach is presented to calculate the field distribution as well as qd-axis model parameters from design data containing material properties, stator and rotor geometries, and winding layout. The calculated parameters include resistances, inductances, and the back-emf of the machine.
  • Keywords
    electric resistance; inductance; marine power systems; optimisation; rotors; stators; synchronous machines; WRSM; analytical design model; electric machinery; field distribution; inductances; loss objectives; machine back-emf; machine behavior prediction; marine applications; mass objectives; material properties; multiobjective optimization algorithm; optimization-based design; power generation technology; qd-axis model parameters; resistances; rotor geometries; stator geometries; winding layout; wound rotor synchronous machines; Air gaps; Computational modeling; Magnetic flux; Rotors; Stator windings; Windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Ship Technologies Symposium (ESTS), 2013 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4673-5243-7
  • Type

    conf

  • DOI
    10.1109/ESTS.2013.6523739
  • Filename
    6523739