This paper presents the use of the multi-objective Particle Swarm Optimization 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 GA procedure. Experimental measures performed on both samples of materials allow us to complete and argue the validation for the PSO method.
Identification of Jiles-Atherton model parameters using Particle Swarm Optimization
Scorretti, Riccardo;
2007
Abstract
This paper presents the use of the multi-objective Particle Swarm Optimization 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 GA procedure. Experimental measures performed on both samples of materials allow us to complete and argue the validation for the PSO method.File in questo prodotto:
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