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.File in questo prodotto:
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