Identification of Jiles–Atherton Model Parameters Using Particle Swarm Optimization
Romain MarionAMPERE Laboratory, UMR CNRS 5005, Université de Lyon, Lyon, FranceRiccardo ScorrettiAMPERE Laboratory, UMR CNRS 5005, Université de Lyon, Lyon, FranceNicolas SiauveAMPERE Laboratory, UMR CNRS 5005, Université de Lyon, Lyon, FranceMarie‐Ange RauletAMPERE Laboratory, UMR CNRS 5005, Université de Lyon, Lyon, FranceLaurent KrähenbühlEcole Centrale de Lyon, Ecully, France
2008en
ABI
Аннотация
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.
Перевод пока недоступен
Идентификаторы
Цитирования и источники
Цитирований: 2Использованных источников: 0