RT Journal Article
T1 Nonparametric frequency response identification for Dc-Dc converters based on spectral analysis with automatic determination of the perturbation amplitude
A1 Granda Carrillo, Marlon Alberto
A1 Fernández Herrero, Cristina
A1 Barrado Bautista, Andrés
A1 Zumel Vaquero, Pablo
AB 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.
PB MPDI
SN 1424-8220
YR 2021
FD 2021-05-01
LK https://hdl.handle.net/10016/34241
UL https://hdl.handle.net/10016/34241
LA eng
NO 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).
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RD 1 sept. 2024