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2018 | 133 | 3 | 654-656
Article title

Open Source Implementation of Different Variants of Jiles-Atherton Model of Magnetic Hysteresis Loops

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EN
Abstracts
EN
Jiles-Atherton model is one of the most advanced and most popular models of magnetic hysteresis loop. However, this model is considering different physical phenomena and computational issues. As a result, cross-validation of the results of modelling performed by different authors became difficult. For this reason, the open-source MATLAB/OCTAVE based implementation of Jiles-Atherton model was developed. Proposed implementation covers isotropic model of magnetic hysteresis loops as well as uniaxial and grain oriented electrical steel anisotropy. Moreover, the corrections proposed by Venkataraman together with different approaches to derivative of the anhysteretic magnetization are considered. Developed library is freely available together with the examples of magnetic hysteresis loops. As a result, it can be the base for further development of Jiles-Atherton model for better understanding of magnetization process as well as modelling the inductive components.
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Contributors
author
  • Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, sw. A Boboli 8, 02-525 Warsaw, Poland
author
  • Department of Electronics Design, Mid Sweden University, SE-851 70 Sundsvall, Sweden
References
  • [1] D.C. Jiles, D. Atherton, J. Appl. Phys. 55, 2115 (1984), doi: 10.1063/1.333582
  • [2] D. C. Jiles, A. Ramesh, Y. Shi, X. Fang, IEEE Trans. Magn. 33, 3961 (1997), doi: 10.1109/20.619629
  • [3] S. Q. Antonio, M. Pompei, AEIT International Annual Conference, 2015, doi: 10.1109/AEIT.2015.7415282
  • [4] K. Chwastek, Math. Comput. Model. Dyn. Syst. 15, 1 (2009), doi: 10.1080/13873950802432016
  • [5] D. C. Jiles, J. B. Thoelke, M. K. Devine, IEEE Trans. Magn. 28, 1 (1992), doi: 10.1109/20.119813
  • [6] K. Chwastek, J. Szczygłowski, Electrical Review 84, 12 (2008)
  • [7] R. Biedrzycki, D. Jackiewicz, R. Szewczyk, JAMRIS 4, 63 (2014), doi: 10.14313/JAMRIS_4-2014/39
  • [8] R. Szewczyk, Advances in Intelligent Systems and Computing, Vol. 267, Springer, 2014, p. 275, doi: 10.1007/978-3-319-05353-0_27
  • [9] D. C. Jiles, D. L. Atherton, J. Magn. Magn. Mater. 61, 48 (1986), doi: 10.1016/0304-8853(86)90066-1
  • [10] A.Ramesh, D.C. Jiles, J.M. Roderick, IEEE Trans. Magn. 32, 4234 (1996), doi: 10.1109/20.539344
  • [11] R. Szewczyk, Materials, 7, 5109 (2014), doi: 10.3390/ma7075109
  • [12] A. P. S. Baghel, S. V. Kulkarni, J. Appl. Phys. 113, 043908 (2013), doi: 10.1063/1.4788806
  • [13] S.E. Zirka, Y.I. Moroz, R.G. Harrison, K. Chwastek, J. Appl. Phys. 112, 043916 (2012), doi: 10.1063/1.4747915
  • [14] R. Venkataraman, P.S. Krishnaprasad, Proceedings of the 37th IEEE Conference on Decision and Control (1998), doi: 10.1109/CDC.1998.757777
Document Type
Publication order reference
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bwmeta1.element.bwnjournal-article-appv133n3p097kz
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