• DocumentCode
    1274686
  • Title

    Dynamic hysteresis modeling based on Preisach model

  • Author

    Bernard, Y. ; Mendes, E. ; Bouillault, F.

  • Author_Institution
    Lab. de Genie Electrique de Paris, CNRS, Gif-sur-Yvette, France
  • Volume
    38
  • Issue
    2
  • fYear
    2002
  • fDate
    3/1/2002 12:00:00 AM
  • Firstpage
    885
  • Lastpage
    888
  • Abstract
    A method to model dynamic hysteresis is proposed. The proposed model is based on an inverse Preisach model with the magnetic flux density and its rate as inputs, and the magnetic field as the output. Assuming that the hysteretic behavior does not depend on the history of this rate, the inverse distribution function is expressed in terms of the magnetic flux density rate. As a consequence, the classical utilization rules of the Preisach triangle can be applied, thus making the implementation of the proposed model very easy and efficient. The proposed model has been experimentally validated and compared with a classical static Preisach model. Since the inputs of the proposed model are the magnetic flux density and its rate, this model can very easily be implemented in a finite-element method solver using the magnetic vector potential as unknown
  • Keywords
    ferromagnetic materials; finite element analysis; inverse problems; magnetic flux; magnetic hysteresis; Preisach model; Preisach triangle; dynamic hysteresis; dynamic hysteresis modeling; ferromagnetic materials modeling; finite-element method solver; hysteresis modeling; hysteretic behavior; inverse Preisach model; inverse distribution function; magnetic field output; magnetic flux density; magnetic flux density rate; magnetic vector potential; model implementation; model inputs; static Preisach model; Distribution functions; Finite element methods; History; Inverse problems; Magnetic fields; Magnetic flux; Magnetic flux density; Magnetic hysteresis; Magnetic materials; Shape;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.996228
  • Filename
    996228