TITLE:
Non Linear Magnetic Hysteresis Modelling by Finite Volume Method for Jiles-Atherton Model Optimizing by a Genetic Algorithm
AUTHORS:
Seddik Azzaoui, Kamel Srairi, Mohamed El Hachemi Benbouzid
KEYWORDS:
Magnetic Hysteresis, Jiles-Atherton Model, Genetic Algorithm Optimization, Parameters Identification, Finite Volume Method (FVM)
JOURNAL NAME:
Journal of Electromagnetic Analysis and Applications,
Vol.3 No.6,
June
23,
2011
ABSTRACT: This paper describes a generalization methodology for nonlinear magnetic field calculation applied on two-dimensional (2-D) finite Volume geometry by incorporating a Jiles-Atherton scalar hysteresis model. The scheme is based upon the definition of modified governing equation derived from Maxwell’s equations considered the magnetization M. This paper shows how to extract optimal parameters for the Jiles-Atherton model of hysteresis by a real coded genetic algorithm approach. The parameters identification is performed by minimizing the mean squared error between experimental and simulated magnetic field curves. The calculated results are validated by experiences performed in an SST’s frame.