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Application of a PSO algorithm for identification of the parameters of Jiles-Atherton hysteresis model

Application of a PSO algorithm for identification of the parameters of Jiles-Atherton hysteresis... Application of a PSO algorithm for identification of the parameters of Jiles-Atherton hysteresis model In the paper an algorithm and computer code for the identification of the hysteresis parameters of the Jiles-Atherton model have been presented. For the identification the particle swarm optimization method (PSO) has been applied. In the optimization procedure five design variables has been assumed. The computer code has been elaborated using Delphi environment. Three types of material have been examined. The results of optimization have been compared to experimental ones. Selected results of the calculation for different material are presented and discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of Electrical Engineering de Gruyter

Application of a PSO algorithm for identification of the parameters of Jiles-Atherton hysteresis model

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Publisher
de Gruyter
Copyright
Copyright © 2012 by the
ISSN
0004-0746
DOI
10.2478/v10171-012-0013-3
Publisher site
See Article on Publisher Site

Abstract

Application of a PSO algorithm for identification of the parameters of Jiles-Atherton hysteresis model In the paper an algorithm and computer code for the identification of the hysteresis parameters of the Jiles-Atherton model have been presented. For the identification the particle swarm optimization method (PSO) has been applied. In the optimization procedure five design variables has been assumed. The computer code has been elaborated using Delphi environment. Three types of material have been examined. The results of optimization have been compared to experimental ones. Selected results of the calculation for different material are presented and discussed.

Journal

Archives of Electrical Engineeringde Gruyter

Published: Jun 1, 2012

References