Abstract:In this communication, the Preisach and Jiles‐Atherton models are studied to take hysteresis phenomenon into account in finite element analysis. First, the models and their identification procedure are briefly developed. Then, their implementation in the finite element code is presented. Finally, their performances are compared with an electromagnetic system made of soft magnetic composite. Current and iron losses are calculated and compared with the experimental results.
“…The rest of the particles in the initial population have been determined randomly. The calculations have been repeated 2 N times. In this case the randomly located particles move towards the leader from the first stage and search area around his position.…”
Section: Optimization Resultsmentioning
confidence: 99%
“…In the Jiles-Atherton model [2,7,12,19], it is assumed that the magnetization M of a material is caused by the factors representing reversible M rev and irreversible M irr processes during the magnetization of the core:…”
Abstract: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.
“…The rest of the particles in the initial population have been determined randomly. The calculations have been repeated 2 N times. In this case the randomly located particles move towards the leader from the first stage and search area around his position.…”
Section: Optimization Resultsmentioning
confidence: 99%
“…In the Jiles-Atherton model [2,7,12,19], it is assumed that the magnetization M of a material is caused by the factors representing reversible M rev and irreversible M irr processes during the magnetization of the core:…”
Abstract: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.
“…(16). After the rearrangement, the model is described by As seen, the parameters of the new model preserve similarities with the parameters of the Jiles-Atherton ferromagnetic hysteresis model [11][12][13]. The similarity in physical behaviour and the role of each parameter is described in the text when the parameter is introduced.…”
Section: The Final Form Of the New Hysteresis Model For The Smc Materialsmentioning
“…The two models which are mostly used in literature are the Preisach model and the Jiles-Atherton model [2]. While the first one is a pure phenomenological model for which parameter identification needs numerous measured hysteresis loops, the Jiles-Atherton model is using parameters with physical meaning and origin.…”
Section: Energetic Hysteresis Modelmentioning
confidence: 99%
“…As the induced voltage is very small at this frequency, the minimum flux density which could be measured was about 0.77 T. For the dynamic measurements the flux density was kept small with 0.07 T in order to reach with the limited output voltage of the test bench voltage amplifiers a frequency of 4 kHz. The specific loss according to (22) was chosen for a better comparison of hysteresis losses p h and eddy current losses p e calculated with classical Steinmetz equations with the loss coefficient k h and k e according to 2 …”
A model is presented in this work which is capable to calculate the magnetic behavior and iron losses of a ferromagnetic lamination in a wide frequency range. It is based on an energetic hysteresis model and extends its static approach with eddy-currents in a finite-difference simulation of a lamination sheet. This will also consider the field displacement or skin-effect which cannot be ignored in the lamination sheets of electric machines especially if they are supplied from fast switching power converters. As there is no restriction with respect to the time-dependence of the exciting voltage, the presented approach can be used in machine models to predict the losses for such power converter operation and its pulse-width modulated voltages.
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