Research Article Open Access

Qualitative Ferromagnetic Hysteresis Modeling

M. Mordjaoui1, M. Chabane1, B. Boudjema1 and R. Daira1
  • 1 ,
Journal of Computer Science
Volume 3 No. 6, 2007, 399-405

DOI: https://doi.org/10.3844/jcssp.2007.399.405

Submitted On: 4 April 2007 Published On: 30 June 2007

How to Cite: Mordjaoui, M., Chabane, M., Boudjema, B. & Daira, R. (2007). Qualitative Ferromagnetic Hysteresis Modeling. Journal of Computer Science, 3(6), 399-405. https://doi.org/10.3844/jcssp.2007.399.405

Abstract

In determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach can restored the hysteresis curve with a little RMS error. The model accuracy was good and can be easily adapted to the requirements of the application by extending or reducing the network training set and thus the required amount of measurement data.

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Keywords

  • ANFIS modeling technique
  • magnetic hysteresis
  • Jiles-Atherton model
  • ferromagnetic core