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Identification of Jiles–Atherton Model Parameters Using Particle Swarm Optimization

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5 Author(s)
Marion, R. ; AMPERE Lab., UMR CNRS 5005, Lyon ; Scorretti, R. ; Siauve, N. ; Raulet, M.
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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.

Published in:

Magnetics, IEEE Transactions on  (Volume:44 ,  Issue: 6 )

Date of Publication:

June 2008

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