IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v71y2006i3p206-211.html
   My bibliography  Save this article

Identification of a hysteresis model parameters with genetic algorithms

Author

Listed:
  • Chwastek, Krzysztof
  • Szczyglowski, Jan

Abstract

The paper is concerned about the application of genetic algorithms to the estimation of magnetic hysteresis model parameters, based on the description of magnetization process proposed by Jiles and Atherton. The genetic algorithm approach has been applied to estimation of model parameters for two magnetic materials – a conventional non-oriented steel and a modern amorphous material. The errors between the modelled and experimental data points on M−H plane have been determined. The results have been compared with the results obtained with the previously proposed approach, based on direct search method. It has been proved that the genetic algorithm approach results in lower percentage errors.

Suggested Citation

  • Chwastek, Krzysztof & Szczyglowski, Jan, 2006. "Identification of a hysteresis model parameters with genetic algorithms," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(3), pages 206-211.
    • Handle: RePEc:eee:matcom:v:71:y:2006:i:3:p:206-211
    DOI: 10.1016/j.matcom.2006.01.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475406000024
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2006.01.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carosi, Daniele & Zama, Fabiana & Morri, Alessandro & Ceschini, Lorella, 2024. "Linearising anhysteretic magnetisation curves: A novel algorithm for finding simulation parameters and magnetic moments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 221(C), pages 210-221.
    2. Andriy Chaban & Marek Lis & Andrzej Szafraniec & Radoslaw Jedynak, 2020. "Application of Genetic Algorithm Elements to Modelling of Rotation Processes in Motion Transmission Including a Long Shaft," Energies, MDPI, vol. 14(1), pages 1-17, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:71:y:2006:i:3:p:206-211. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.