DocumentCode :
1274991
Title :
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
Link To Document :
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