Magnetic material model characterization and optimization software

Author

Wilson, Peter R. ; Ross, J. Neil ; Brown, Andrew D.

Author_Institution

Dept. of Electron. & Comput. Sci., Southampton Univ., UK

Volume

38

Issue

2

fYear

2002

fDate

3/1/2002 12:00:00 AM

Firstpage

1049

Lastpage

1052

Abstract

The accurate characterization and modeling of magnetic materials are critical in simulating the performance analysis of electrical circuits incorporating magnetic components. Software has, therefore, been developed, including genetic algorithm-optimization techniques and metric-based goal functions to enable appropriate accuracy in the final model. Multiple loop optimization has been developed to allow a wide range of operating conditions to be used in the goal function, with appropriate weighting for the ultimate application. Sensitivity and Monte Carlo analyses ensure the models are stable and tolerant of parameter variations. Comparisons of simulated B-H curves with measured results demonstrate the capability of the software

Keywords

Monte Carlo methods; genetic algorithms; magnetic hysteresis; magnetic materials; optimisation; physics computing; sensitivity analysis; B-H curve; Jiles-Atherton model; Monte Carlo analysis; genetic algorithm; goal function; hysteresis loop; magnetic material; numerical simulation; optimization software; sensitivity analysis; Analytical models; Application software; Circuit simulation; Genetics; Magnetic circuits; Magnetic materials; Monte Carlo methods; Performance analysis; Software algorithms; Software measurement;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.996269

Filename

996269