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  • Fixed-Point Harmonic-Balanced Method for DC-Biasing Hysteresis Analysis Using the Neural Network and Consuming Function

    Author(s)
    Zhao, Xiaojun
    Lu, Junwei
    Li, Lin
    Li, Huiqi
    Cheng, Zhiguang
    Lu, Tiebing
    Griffith University Author(s)
    Lu, Junwei
    Year published
    2012
    Metadata
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    Abstract
    The magnetic flux includes dc component and ac component in the square laminated core (SLC) under dc-biased magnetization. Hysteresis loops are distorted by dc component of magnetic field intensity in ferromagnetic core and exhibit asymmetrical and special nonlinearities. A neural network (NN) is trained on the basis of the experimental data to model hysteresis effects in the limb-yoke of the SLC. Hysteresis effects in the mitered-joint region are modeled by the consuming function combined with the dc-biasing magnetization curve. The global fixed-point magnetic reluctivity is properly determined in harmonic-balanced ...
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    The magnetic flux includes dc component and ac component in the square laminated core (SLC) under dc-biased magnetization. Hysteresis loops are distorted by dc component of magnetic field intensity in ferromagnetic core and exhibit asymmetrical and special nonlinearities. A neural network (NN) is trained on the basis of the experimental data to model hysteresis effects in the limb-yoke of the SLC. Hysteresis effects in the mitered-joint region are modeled by the consuming function combined with the dc-biasing magnetization curve. The global fixed-point magnetic reluctivity is properly determined in harmonic-balanced finite-element method (HBFEM) to ensure globally convergent computation. The magnetic field in the SLC under dc-biased magnetization is computed by the proposed method taking account of the dc-biasing hysteresis effects.
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    Journal Title
    IEEE Transactions on Magnetics
    Volume
    48
    Issue
    11
    DOI
    https://doi.org/10.1109/TMAG.2012.2195720
    Subject
    Physical sciences
    Engineering
    Publication URI
    http://hdl.handle.net/10072/50035
    Collection
    • Journal articles

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