• DocumentCode
    2055739
  • Title

    Modeling of salient-pole wound-rotor synchronous machines for population-based design

  • Author

    Bash, M. ; Pekarek, S.

  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    In recent years, population-based methods (evolutionary algorithms, particle swarm methods, etc.) have emerged as an effective tool for component and system design. Although relatively straightforward to apply, to capitalize on their potential, one must be able to explore a large design space. Herein a magnetic equivalent circuit model is described to enable large-design-space exploration of salient-pole wound-rotor synchronous machine drive systems. Specifically, the model has been derived to evaluate machines with an arbitrary number of poles, stator slots (integer slots/pole/phase), winding layout, magnetic material, and a wide range of stator and rotor geometries. In addition, the model and solution technique have been structured to minimize the computational effort. An important attribute of the model is that saturation is handled with relatively few iterations and without the need for a relaxation factor to obtain convergence.
  • Keywords
    equivalent circuits; evolutionary computation; magnetic circuits; particle swarm optimisation; rotors; synchronous motor drives; component design; evolutionary algorithm; iteration method; large-design-space exploration; magnetic equivalent circuit model; magnetic material; particle swarm methods; poles; population-based design; rotor geometry; salient-pole wound-rotor synchronous machine drive model; stator geometry; stator slots; system design; Computational modeling; Educational institutions; Evolutionary computation; Integrated circuit modeling; Stator windings; Synchronous machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345185
  • Filename
    6345185