A New Approach for Magneto-Static Hysteresis Behavioral Modeling

Antonio Astorino, Madhavan Swaminathan, Giulio Antonini

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In this paper, a new behavioral modeling approach for magneto-static hysteresis is presented. Many accurate models are currently available, but none of them seems to be able to correctly reproduce all the possible B-H paths with low computational cost. By contrast, the approach proposed in this paper is based on simple functions, which do not require calculus to be involved, thus assuring a very good efficiency in the algorithm. In addition, the proposed method enables initial magnetization curves, symmetric loops, minor loops, normal curves, and reversal curves of any order to be reproduced, as demonstrated through the pertinent results provided in this paper. A model example based on the proposed modeling technique is also introduced and used as inductor core, in order to simulate an LR series circuit. Finally, the model ability to emulate hysteretic inductors is proved by the satisfactory agreement achieved when comparing the measured and simulated results.
Original languageEnglish
Article number7478133
JournalI E E E Transactions on Magnetics
Issue number9
Publication statusPublished - 2016


  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering
  • Madelung rules
  • magnetic hysteresis
  • phenomenological modeling
  • reversal curve
  • Behavioral research
  • Calculations
  • Magnetic hysteresis
  • Magnetization reversal
  • Computational costs
  • Initial magnetization curve
  • Modeling abilities
  • Modeling technique
  • Phenomenological modeling
  • Simulated results
  • Hysteresis
  • PLAY
  • magnetostatics
  • inductors
  • magnetisation reversal
  • hysteretic inductors
  • magnetostatic hysteresis behavioral modeling
  • initial magnetization curves
  • symmetric loops
  • minor loops
  • normal curves
  • reversal curves
  • inductor core
  • LR series circuit
  • Mathematical model
  • Magnetization
  • Computational modeling
  • Integrated circuit modeling
  • Numerical models
  • Analytical models
  • Magnetization curves, hysteresis, Barkhausen and related effects
  • Electrostatics, magnetostatics
  • Inductors and transformers

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