Publication: Nonparametric frequency response identification for Dc-Dc converters based on spectral analysis with automatic determination of the perturbation amplitude
dc.affiliation.dpto | UC3M. Departamento de Ingeniería Térmica y de Fluidos | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Ingeniería de Sistemas Energéticos | es |
dc.contributor.author | Granda Carrillo, Marlon Alberto | |
dc.contributor.author | Fernández Herrero, Cristina | |
dc.contributor.author | Barrado Bautista, Andrés | |
dc.contributor.author | Zumel Vaquero, Pablo | |
dc.contributor.funder | Comunidad de Madrid | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | es |
dc.contributor.funder | Universidad Carlos III de Madrid | es |
dc.date.accessioned | 2022-02-25T08:56:33Z | |
dc.date.available | 2022-02-25T08:56:33Z | |
dc.date.issued | 2021-05-01 | |
dc.description.abstract | Digital control for high switching frequency converter enables new features on DC-DC power conversion for a minimum cost. Frequency response identification is one such enabled functionality used in auto tunning, measurement of components to assess the converter’s state of health, or system stability monitoring. High accuracy, flexibility to operate in open or closed loop, and minimum impact in the converter’s regular operation are the frequency response identification system’s goals. We propose in this paper a nonparametric identification system addressing these main goals. First, it can autoadjust the perturbation size to reduce the perturbation’s impact on the converter’s output quantities. Second, as it is based on spectral analysis, it is suitable for open and closed-loop operation. Third, we demonstrate the identification system’s high accuracy, achieving a very low difference between the experimental measurements and the discrete model used as reference. | en |
dc.description.sponsorship | This research was founded by the Spanish Ministry of Ciencia, Innovacióon y Universidades and FEDER funds through the research project EPIIOT under Grant DPI2017-88062-R, and by the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with UC3M in the line of Excellence of University Professors (EPUC3M26), and in the context of the V PRICIT (Regional Programme of Research and Technological Innovation). | en |
dc.format.extent | 17 | |
dc.identifier.bibliographicCitation | Granda, M., Fernandez, C., Barrado, A., & Zumel, P. (2021). Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude. Sensors, 21(9), 3234. | en |
dc.identifier.doi | https://doi.org/10.3390/s21093234 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.publicationfirstpage | 1 | |
dc.identifier.publicationissue | 9 | |
dc.identifier.publicationlastpage | 17 | |
dc.identifier.publicationtitle | SENSORS | en |
dc.identifier.publicationvolume | 21 | |
dc.identifier.uri | https://hdl.handle.net/10016/34241 | |
dc.identifier.uxxi | AR/0000028644 | |
dc.language.iso | eng | |
dc.publisher | MPDI | en |
dc.relation.projectID | Gobierno de España. DPI2017-88062-R | es |
dc.relation.projectID | Comunidad de Madrid. V PRICIT | es |
dc.relation.projectID | Universidad Carlos III de Madrid. EPUC3M26 | es |
dc.rights | © 2021 by the authors. | en |
dc.rights | Atribución 3.0 España | * |
dc.rights.accessRights | open access | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject.eciencia | Electrónica | es |
dc.subject.other | Digital control | en |
dc.subject.other | Identification | en |
dc.subject.other | Power converters | en |
dc.title | Nonparametric frequency response identification for Dc-Dc converters based on spectral analysis with automatic determination of the perturbation amplitude | en |
dc.type | research article | * |
dc.type.hasVersion | VoR | * |
dspace.entity.type | Publication |
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