A Method for Optimal Identification of a Stop Model With Input-Dependent Shape Function

An optimal identification method is developed for an efficient hysteresis model: a stop model having an input-dependent shape function. To simplify the identification procedure, the input-dependent shape function is given by the product of a weighting function and an input-independent shape function...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2006-12, Vol.42 (12), p.3818-3824
Main Authors: Matsuo, T., Shimasaki, M.
Format: Article
Language:English
Subjects:
Computational efficiency
Cross-disciplinary physics: materials science
rheology
Electromagnetic analysis
Electromagnetic modeling
Exact sciences and technology
Hysteresis
identification method
Least squares method
Magnetic analysis
Magnetic flux density
Magnetic hysteresis
Magnetism
Materials science
Mathematical model
Mathematical models
Optimization
Other topics in materials science
Physics
Plugs
Representations
Shape
Shape functions
Silicon
silicon steel sheet
Silicon steels
Steel
stop model
Weighting functions
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Summary:An optimal identification method is developed for an efficient hysteresis model: a stop model having an input-dependent shape function. To simplify the identification procedure, the input-dependent shape function is given by the product of a weighting function and an input-independent shape function. The optimal weighting function is determined using the least-squares method. To obtain an optimal weighting function, two methods are proposed: one uses the property of equal vertical chords, the other is based on a symmetry condition. Both methods effectively improve the representation accuracy of B--H loops of silicon steel sheets using the stop model. The representation capability of the stop model is compared with that of the play model
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2006.884355