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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Sixdenier, Fabien
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2023Behaviour of electrical steels under rotationnal magnetization and high temperatures
- 2022Conception et réalisation d'un dispositif de caractérisations magnétiques 2D en température
- 2022An analytical formula to identify the parameters of the energy-based hysteresis modelcitations
- 2017Including Frequency Dependent Complex Permeability Into SPICE Models To Improve EMI Filters Design
- 2017Impact Of Some Manufacturing Processes On Magnetic Properties Of Nanocrystalline Cores : Core Shape, Ribbon Shearing And Ribbon Width
- 2017Core Shape, Ribbon Shearing and Ribbon Width Influence on Magnetic Properties of Nanocrystalline Tape Wound Cores.
- 2016Inductance self-heating transient modeling
- 2015Influence of Various Technological Manufacturing Processes on the Magnetic Properties of Nanocrystalline Cores
- 2012Magnetic Behavior Representation Taking Into Account the Temperature of a Magnetic Nanocrystalline Materialcitations
- 2011Magnetical behaviour representation taking into account the temperature of a magnetic nanocrystalline material
- 2009Electromagnetic Characterization of Biological Tissues with Particle Swarm Optimization
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article
An analytical formula to identify the parameters of the energy-based hysteresis model
Abstract
Energy-based models (also called Vector Play models) are a class of phenomenological models of magnetic hysteresis. In this work an original identification method is presented. The main advantage of this method is its speed and its robustness. Conversely to optimization-based methods, which are prone to convergence problems, the new method is based on analytical formulas. The method is tested experimentally with three different materials (a ferrite and two non oriented steels), and provide an accuracy comparable to classical identification methods, with a much lower computational cost.