This paper presents the use of the multiobjective particle swarm optimization (FSO) 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. © 2008 IEEE.

Identification of jiles - Atherton model parameters using particle swarm optimization

Scorretti R.;
2008

Abstract

This paper presents the use of the multiobjective particle swarm optimization (FSO) 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. © 2008 IEEE.
2008
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1554460
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