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Nonlinear dynamic transformer time-domain
identification for power converter applications |
Trong Vu, T.; O'Driscoll, S.; Ringwood, John
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For flyback converter applications, an accurate model
of the transformer is necessary for simulation studies, as well
as a basis for model-based controller design. In general, trans-
former modeling has either focused on the winding model, using
frequency-domain methods, or on the nonlinear core model, using
time-domain methods. Nonlinear modeling is confined to the time
domain and certain difficulties have precluded the use of time-
domain methods for winding model estimation, resulting in the
lack of integrated modeling approaches. This paper focuses on
identifying a complete nonlinear dynamic model of a 3-winding
transformer using time-domain system identification approaches.
Our study demonstrates a possible way to handle the difficulties
of working in the time domain and provides a model at least as
accurate as that obtained with the frequency response data. In ad-
dition to the parameters of the Jiles–Atherton model, which is used
to describe the nonlinear core behavior, the air-gap length is also
computed from the experimental data to enhance the core model
accuracy. The obtained transformer winding model, core model,
and full model are experimentally verified.
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Keyword(s):
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Nonlinear Dynamic Transformer; Time-Domain Identification; Power Converter |
Publication Date:
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2014 |
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Type:
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Journal article |
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Peer-Reviewed:
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Yes |
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Institution:
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Maynooth University |
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Citation(s):
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Trong Vu, T. and O'Driscoll, S. and Ringwood, John (2014) Nonlinear dynamic transformer time-domain identification for power converter applications. IEEE Transactions on Power Electronics, 29 (1). ISSN 0885-8993 |
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Publisher(s):
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IEEE |
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File Format(s):
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other |
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Related Link(s):
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http://eprints.maynoothuniversity.ie/6800/1/JRNonlinear%20dynamic.pdf |
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First Indexed:
2016-01-16 05:01:39 Last Updated:
2017-04-25 11:48:55 |
