Stop model with input-dependent shape function and its identification methods

We propose an input-dependent shape function for the stop model to remove its property of equal vertical chords regardless of dc bias. We compare several identification methods for the stop model and show that the input-dependent shape function improves the ability to represent the stop model effect...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2004-07, Vol.40 (4), p.1776-1783
Main Authors: Matsuo, T., Terada, Y., Shimasaki, M.
Format: Article
Language:English
Subjects:
Condensed matter: electronic structure, electrical, magnetic, and optical properties
Electromagnetic analysis
Electromagnetic modeling
Exact sciences and technology
Magnetic analysis
Magnetic flux
Magnetic flux density
Magnetic hysteresis
Magnetic properties
Magnetic properties and materials
Magnetism
Physics
Shape
Silicon
Steel
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Summary:We propose an input-dependent shape function for the stop model to remove its property of equal vertical chords regardless of dc bias. We compare several identification methods for the stop model and show that the input-dependent shape function improves the ability to represent the stop model effectively. A least-squares identification method using both symmetric and asymmetric B-H loops achieves the most precise representation of hysteretic characteristics for a silicon steel sheet. However, if only symmetric loops are available for identification, a newly proposed identification method gives more accurate representation than other methods including the least-squares method.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2004.828927