Trong Vu, T. and O'Driscoll, S. and Ringwood, John
Nonlinear dynamic transformer time-domain
identification for power converter applications.
IEEE Transactions on Power Electronics, 29 (1).
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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