Nonlinear dynamic transformer time-domain identification for power converter applications


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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Abstract

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.

Item Type: Article
Keywords: Nonlinear Dynamic Transformer; Time-Domain Identification; Power Converter;
Academic Unit: Faculty of Science and Engineering > Electronic Engineering
Item ID: 6800
Identification Number: 10.1109/TPEL.2013.2251006
Depositing User: Professor John Ringwood
Date Deposited: 14 Jan 2016 15:32
Journal or Publication Title: IEEE Transactions on Power Electronics
Publisher: IEEE
Refereed: Yes
URI:

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