Autors: Hinov, N. L., Hranov, T. H.
Title: Model-based optimisation of a buck-boost DC-DC converter
Keywords: Model-based optimization, buck-boost DC-DC converter, power

Abstract: The paper presents model-based optimization of a dc-dc buck-boost converter. In most practical cases, electronic power converters are designed based on methodologies that do not take into account the dynamics of the devices. This is done in order to obtain simple dependencies and the ability to quickly evaluate the parameters and basic parameters of the converters. The influence of the dynamics on the operating modes is taken into account using the optimal synthesis of controllers. The aim is to reduce the influence of the parameters of the building blocks on the transient processes in the circuits. An optimization procedure approach is proposed here to refine the values of the circuit elements in the power topology so as to have the best possible dynamics and as little impact as possible on the tolerances of the circuit elements on the output parameters of the devices.

References

    Issue

    , 2020, Bulgaria, ISBN Model-based optimisation of a buck-boost DC-DC converter

    Цитирания (Citation/s):
    1. Power loss modelling and efficiency optimization of a multi-output Flyback converter, IECON Proceedings (Industrial Electronics Conference), Volume 2021, October 2021, 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021,Toronto13 October 2021 through 16 October 2021 - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Mutta, Chandini; Goswami, Agam Das, Design of an efficient convolutional buck-boost converter for hybrid bioinspired parameter tuning, Bulletin of Electrical Engineering and Informatics, Volume 12, Issue 5, Pages 2705 - 2716, October 2023, DOI 10.11591/eei.v12i5.5463 - 2023 - в издания, индексирани в Scopus или Web of Science
    3. Kovac, Dobroslav; Melnykov, Viacheslav; New Control Method for Multi-phase Buck DC-DC Converters Used with Photovoltaic Panels, Proceedings of the 5th International Conference on Modern Electrical and Energy System, MEES 2023, DOI 10.1109/MEES61502.2023.10402389 - 2023 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus