DocumentCode
1227894
Title
Identification of Jiles–Atherton Model Parameters Using Particle Swarm Optimization
Author
Marion, Romain ; Scorretti, Riccardo ; Siauve, Nicolas ; Raulet, Marie-Ange ; Krähenbühl, Laurent
Author_Institution
AMPERE Lab., UMR CNRS 5005, Lyon
Volume
44
Issue
6
fYear
2008
fDate
6/1/2008 12:00:00 AM
Firstpage
894
Lastpage
897
Abstract
This paper presents the use of the multiobjective particle swarm optimization (PSO) technique for the identification of Jiles-Atherton model parameters. This approach, implemented for the first time in order to solve this kind of problem, is tested for two magnetic materials: NO 3% SiFe and NiFe 20-80. The results are compared with those obtained with a direct search method and a genetic algorithm procedure. Experimental measures performed on both samples of materials allow us to complete and argue the validation for the PSO method.
Keywords
ferromagnetic materials; genetic algorithms; iron alloys; magnetic hysteresis; nickel alloys; particle swarm optimisation; silicon alloys; Jiles-Atherton model parameters; NiFe; SiFe; direct search method; genetic algorithm; magnetic hysteresis; magnetic materials; particle swarm optimization; Genetic algorithms (GAs); magnetic field measurement; magnetic hysteresis; magnetic materials; modeling; optimization methods;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2007.914867
Filename
4526950
Link To Document