Efficient Implementation of Anisotropic Vector Preisach-Type Models Using Coupled Step Functions

Author

Adly, A.A. ; Hafiz, S. K Abd-El

Author_Institution

Electr. Power & Machines Dept., Cairo Univ., Giza

Volume

43

Issue

6

fYear

2007

fDate

6/1/2007 12:00:00 AM

Firstpage

2962

Lastpage

2964

Abstract

Anisotropic vector hysteresis models are important tools for the accurate simulation of multi-dimensional field-media interactions. This paper presents a computationally efficient vector Preisach-type model for media exhibiting uniaxial anisotropy. The model is constructed from two scalar models having orthogonally inter-related elementary operators. Such model is implemented via two linear neural networks fed from the outputs of discrete Hopfield neural network blocks having step activation functions. Details of the model, its identification, and simulation results are presented in the paper

Keywords

magnetic anisotropy; magnetic hysteresis; anisotropic vector Preisach-type models; anisotropic vector hysteresis models; coupled step functions; discrete Hopfield neural network blocks; multidimensional field-media interactions; orthogonally interrelated elementary operators; step activation functions; Anisotropic magnetoresistance; Assembly; Computational modeling; Hopfield neural networks; Hysteresis; Mathematical model; Mathematics; Power engineering and energy; Power engineering computing; Vectors; Anisotropic media; discrete Hopfield neural networks; vector Preisach models;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2007.893702

Filename

4202644