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Nonlinear dynamic transformer time-domain identification for power converter applications
Trong Vu, T.; O'Driscoll, S.; Ringwood, John
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.
Keyword(s): Nonlinear Dynamic Transformer; Time-Domain Identification; Power Converter
Publication Date:
2014
Type: Journal article
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): 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
Publisher(s): IEEE
File Format(s): other
Related Link(s): http://eprints.maynoothuniversity.ie/6800/1/JRNonlinear%20dynamic.pdf
First Indexed: 2016-01-16 05:01:39 Last Updated: 2017-04-25 11:48:55