Optimum Identification of Iron Loss Models in NGO Electrical Steel for Power Electronics
作者： S. Quondam Antonio
DOI: 10.1109/RTSI.2019.8895589
关键词: Non-sinusoidal waveform 、 Eddy current 、 Hysteresis 、 Magnetic hysteresis 、 Cauchy distribution 、 Electrical steel 、 Control theory 、 Power electronics 、 Materials science 、 Probability density function
摘要: Prediction and modelling of the dynamic power losses, their decomposition into hysteresis eddy current contributions, in laminated ferromagnetic materials is not a comprehensively solved problem. This paper mostly deals with experimental identification Preisach-type models, aiming at an accurate effective reproduction losses. Different probability density functions are examined to approximate distribution operators. The parameters identified exploiting both genetic algorithm, suitably developed, patternsearch approach. comparison results obtained for NGO electrical steel, particularly appropriate electronics applications, seemed indicate single Lorentzian function as best-fit hysteron distribution. losses evaluated by Preisach model turned out be also when material excited non sinusoidal polarization waveforms.
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