• DocumentCode
    874756
  • Title

    Magnetic Equivalent Circuit Modeling of Induction Motors

  • Author

    Sudhoff, Scott D. ; Kuhn, Brian T. ; Corzine, Keith A. ; Branecky, Brian T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng, Purdue Univ., West Lafayette, IN
  • Volume
    22
  • Issue
    2
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    259
  • Lastpage
    270
  • Abstract
    Finite element models are invaluable for determining expected machine performance. However, finite element analysis can be computationally intense; particularly if a large numbers of studies or high bandwidth studies are required. One method to avoid this difficulty is to extract machine parameters from the finite element model and use the parameters in lumped parameter models. While often useful, such an approach does not represent space harmonics or asymmetries in the motor. A methodology for constructing a state-variable model, based on a magnetic equivalent circuit of the motor is described herein. In addition, the parameters for this model are based solely on geometrical data. This approach is an excellent compromise between the speed of lumped parameter models and the ability of finite element methods to capture spatial effects. Experimental validation of the model is provided.
  • Keywords
    equivalent circuits; finite element analysis; harmonic analysis; induction motors; lumped parameter networks; magnetic circuits; finite element models; induction motors; lumped parameter models; machine parameter extraction; magnetic equivalent circuit modeling; space harmonics; spatial effects; state variable model; Bandwidth; Equivalent circuits; Finite element methods; Inductance; Induction machines; Induction motors; Magnetic analysis; Reluctance motors; Stators; Synchronous motors; Geometry-based modeling; induction machine modeling; magnetic equivalent circuit (MEC); space harmonics;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2006.875471
  • Filename
    4207473