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Nonparametric frequency response identification for Dc-Dc converters based on spectral analysis with automatic determination of the perturbation amplitude

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Térmica y de Fluidoses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Ingeniería de Sistemas Energéticoses
dc.contributor.authorGranda Carrillo, Marlon Alberto
dc.contributor.authorFernández Herrero, Cristina
dc.contributor.authorBarrado Bautista, Andrés
dc.contributor.authorZumel Vaquero, Pablo
dc.contributor.funderComunidad de Madrides
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es
dc.contributor.funderUniversidad Carlos III de Madrides
dc.date.accessioned2022-02-25T08:56:33Z
dc.date.available2022-02-25T08:56:33Z
dc.date.issued2021-05-01
dc.description.abstractDigital 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.sponsorshipThis 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.extent17
dc.identifier.bibliographicCitationGranda, 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.doihttps://doi.org/10.3390/s21093234
dc.identifier.issn1424-8220
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue9
dc.identifier.publicationlastpage17
dc.identifier.publicationtitleSENSORSen
dc.identifier.publicationvolume21
dc.identifier.urihttps://hdl.handle.net/10016/34241
dc.identifier.uxxiAR/0000028644
dc.language.isoeng
dc.publisherMPDIen
dc.relation.projectIDGobierno de España. DPI2017-88062-Res
dc.relation.projectIDComunidad de Madrid. V PRICITes
dc.relation.projectIDUniversidad Carlos III de Madrid. EPUC3M26es
dc.rights© 2021 by the authors.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaElectrónicaes
dc.subject.otherDigital controlen
dc.subject.otherIdentificationen
dc.subject.otherPower convertersen
dc.titleNonparametric frequency response identification for Dc-Dc converters based on spectral analysis with automatic determination of the perturbation amplitudeen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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