Nonlinear dynamic transformer time-domain\ud identification for power converter applications

摘要

For flyback converter applications, an accurate model\udof the transformer is necessary for simulation studies, as well\udas a basis for model-based controller design. In general, trans-\udformer modeling has either focused on the winding model, using\udfrequency-domain methods, or on the nonlinear core model, using\udtime-domain methods. Nonlinear modeling is confined to the time\uddomain and certain difficulties have precluded the use of time-\uddomain methods for winding model estimation, resulting in the\udlack of integrated modeling approaches. This paper focuses on\udidentifying a complete nonlinear dynamic model of a 3-winding\udtransformer using time-domain system identification approaches.\udOur study demonstrates a possible way to handle the difficulties\udof working in the time domain and provides a model at least as\udaccurate as that obtained with the frequency response data. In ad-\uddition to the parameters of the Jiles–Atherton model, which is used\udto describe the nonlinear core behavior, the air-gap length is also\udcomputed from the experimental data to enhance the core model\udaccuracy. The obtained transformer winding model, core model,\udand full model are experimentally verified.