Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/9/3234 |
| _version_ | 1797534986283253760 |
|---|---|
| author | Marlon Granda Cristina Fernandez Andres Barrado Pablo Zumel |
| author_facet | Marlon Granda Cristina Fernandez Andres Barrado Pablo Zumel |
| author_sort | Marlon Granda |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T11:38:15Z |
| format | Article |
| id | doaj.art-1b1583f6808542088c5cf41e761cb5ac |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:38:15Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1b1583f6808542088c5cf41e761cb5ac2023-11-21T18:39:44ZengMDPI AGSensors1424-82202021-05-01219323410.3390/s21093234Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation AmplitudeMarlon Granda0Cristina Fernandez1Andres Barrado2Pablo Zumel3Power Electronics Systems Group (GSEP), Department of Electronic Technology, Universidad Carlos III de Madrid, 28911 Leganes, SpainPower Electronics Systems Group (GSEP), Department of Electronic Technology, Universidad Carlos III de Madrid, 28911 Leganes, SpainPower Electronics Systems Group (GSEP), Department of Electronic Technology, Universidad Carlos III de Madrid, 28911 Leganes, SpainPower Electronics Systems Group (GSEP), Department of Electronic Technology, Universidad Carlos III de Madrid, 28911 Leganes, SpainDigital 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.https://www.mdpi.com/1424-8220/21/9/3234digital controlpower convertersidentification |
| spellingShingle | Marlon Granda Cristina Fernandez Andres Barrado Pablo Zumel Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude Sensors digital control power converters identification |
| title | Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude |
| title_full | Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude |
| title_fullStr | Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude |
| title_full_unstemmed | Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude |
| title_short | Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude |
| title_sort | nonparametric frequency response identification for dc dc converters based on spectral analysis with automatic determination of the perturbation amplitude |
| topic | digital control power converters identification |
| url | https://www.mdpi.com/1424-8220/21/9/3234 |
| work_keys_str_mv | AT marlongranda nonparametricfrequencyresponseidentificationfordcdcconvertersbasedonspectralanalysiswithautomaticdeterminationoftheperturbationamplitude AT cristinafernandez nonparametricfrequencyresponseidentificationfordcdcconvertersbasedonspectralanalysiswithautomaticdeterminationoftheperturbationamplitude AT andresbarrado nonparametricfrequencyresponseidentificationfordcdcconvertersbasedonspectralanalysiswithautomaticdeterminationoftheperturbationamplitude AT pablozumel nonparametricfrequencyresponseidentificationfordcdcconvertersbasedonspectralanalysiswithautomaticdeterminationoftheperturbationamplitude |