A genetic approach to solve numerical problems in the Preisach model identification

Author

Consolo, G. ; Finocchio, G. ; Carpentieri, M. ; Azzerboni, B.

Author_Institution

Dipt. di Fisica, Messina Univ., Italy

Volume

42

Issue

5

fYear

2006

fDate

5/1/2006 12:00:00 AM

Firstpage

1526

Lastpage

1537

Abstract

This paper introduces an identification procedure of the classical and modified scalar Preisach models based on genetic algorithms. It can be used when a reduced set of experimental data is known. The main advantage of this approach is the numerical stability of the solution. The results show that the coupling between our genetic identification procedure and the modified scalar Preisach model is able to reproduce the experimental behavior of different magnetic soft steels.

Keywords

genetic algorithms; identification; numerical stability; soft magnetic materials; Preisach model identification; genetic algorithms; genetic identification; magnetic hysteresis; magnetic soft steels; numerical stability; scalar Preisach models; soft magnetic materials; Couplings; Genetic algorithms; Helium; Magnetic hysteresis; Magnetostriction; Nonlinear systems; Numerical models; Numerical stability; Soft magnetic materials; Steel; Genetic algorithms; Preisach model; identification; magnetic hysteresis; numerical stability; soft magnetic materials;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2006.871661

Filename

1624565