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

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.