The accurate characterization of the parasitic elements for inductors is very important in power applications where inductor currents exhibit large and rapid variations. For power converters, the characterization is usually proposed in terms of the measured real and imaginary part of the inductor impedance. For time-domain simulations it is necessary to fit the characterization data to a lumped circuit model. In this work, an effective way to identify a lumped parameters circuit model able to fit experimental data with a great degree of precision is proposed. Fitting is performed by means of a metaheuristic-based optimization algorithm, named CFSO.

Laudani, A., Lozito, G.M. (2019). Equivalent lumped parameters model for parasitic elements in inductances for power applications. In 5th International Forum on Research and Technologies for Society and Industry: Innovation to Shape the Future, RTSI 2019 - Proceedings (pp.406-410). Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI.2019.8895520].

Equivalent lumped parameters model for parasitic elements in inductances for power applications

Laudani A.;Lozito G. M.
2019

Abstract

The accurate characterization of the parasitic elements for inductors is very important in power applications where inductor currents exhibit large and rapid variations. For power converters, the characterization is usually proposed in terms of the measured real and imaginary part of the inductor impedance. For time-domain simulations it is necessary to fit the characterization data to a lumped circuit model. In this work, an effective way to identify a lumped parameters circuit model able to fit experimental data with a great degree of precision is proposed. Fitting is performed by means of a metaheuristic-based optimization algorithm, named CFSO.
978-1-7281-3815-2
Laudani, A., Lozito, G.M. (2019). Equivalent lumped parameters model for parasitic elements in inductances for power applications. In 5th International Forum on Research and Technologies for Society and Industry: Innovation to Shape the Future, RTSI 2019 - Proceedings (pp.406-410). Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI.2019.8895520].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/358615
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