Parameters Identification of Buck Converter Based on Dynamic Characteristics

Yingzhou Peng, Huai Wang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations

    Abstract

    The knowledge of DC-DC converter parameters is essential to both of the health condition estimation and controller tuning for better performance of DC-DC converters. This paper proposes a parameter identification method for DC-DC power converters by taking advantage of its dynamic characteristics, which is non-invasive, computation efficient and without additional hardware compared to existing methods. The application of the proposed method for a buck converter is presented here. Firstly, the modelling method of buck converter with an accurate solving method is described. Then, the particle swarm optimization algorithm (PSO)is introduced for parameter identification. Finally, experiments are performed to verify the feasibility and effectiveness of the proposed method.

    Original languageBritish English
    Title of host publicationICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages3071-3076
    Number of pages6
    ISBN (Electronic)9788957083130
    StatePublished - May 2019
    Event10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia - Busan, Korea, Republic of
    Duration: 27 May 201930 May 2019

    Publication series

    NameICPE 2019 - ECCE Asia - 10th International Conference on Power Electronics - ECCE Asia

    Conference

    Conference10th International Conference on Power Electronics - ECCE Asia, ICPE 2019 - ECCE Asia
    Country/TerritoryKorea, Republic of
    CityBusan
    Period27/05/1930/05/19

    Keywords

    • Condition Monitoring
    • DC-DC
    • Parameter Identification
    • Reliability

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