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Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter

The poor dynamic performance problem of a Full-Bridge converter under a traditional control strategy is investigated in this study. A new parameter adaptive terminal sliding mode control policy is developed for a Full-Bridge DC-DC converter, by combining the integral part with the power function and...

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Detalles Bibliográficos
Autores principales: Zhou, Kai, Yuan, Chengxiang, Sun, Dongyang, Jin, Ningzhi, Wu, Xiaogang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906401/
https://www.ncbi.nlm.nih.gov/pubmed/33630901
http://dx.doi.org/10.1371/journal.pone.0247228
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author Zhou, Kai
Yuan, Chengxiang
Sun, Dongyang
Jin, Ningzhi
Wu, Xiaogang
author_facet Zhou, Kai
Yuan, Chengxiang
Sun, Dongyang
Jin, Ningzhi
Wu, Xiaogang
author_sort Zhou, Kai
collection PubMed
description The poor dynamic performance problem of a Full-Bridge converter under a traditional control strategy is investigated in this study. A new parameter adaptive terminal sliding mode control policy is developed for a Full-Bridge DC-DC converter, by combining the integral part with the power function and differential function in the design of the sliding surface. In theory, the steady-state error of the system can approach zero within a short time. To manage the un-ideal situation after using a fixed value of power γ, an improved γ adaptive algorithm is proposed. The system output is tracked and γ is adjusted in real time. The effect of the system can be guaranteed always in an optimal state. Finally, simulation results are provided to verify the performance of the proposed design method under different conditions.
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spelling pubmed-79064012021-03-03 Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter Zhou, Kai Yuan, Chengxiang Sun, Dongyang Jin, Ningzhi Wu, Xiaogang PLoS One Research Article The poor dynamic performance problem of a Full-Bridge converter under a traditional control strategy is investigated in this study. A new parameter adaptive terminal sliding mode control policy is developed for a Full-Bridge DC-DC converter, by combining the integral part with the power function and differential function in the design of the sliding surface. In theory, the steady-state error of the system can approach zero within a short time. To manage the un-ideal situation after using a fixed value of power γ, an improved γ adaptive algorithm is proposed. The system output is tracked and γ is adjusted in real time. The effect of the system can be guaranteed always in an optimal state. Finally, simulation results are provided to verify the performance of the proposed design method under different conditions. Public Library of Science 2021-02-25 /pmc/articles/PMC7906401/ /pubmed/33630901 http://dx.doi.org/10.1371/journal.pone.0247228 Text en © 2021 Zhou et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhou, Kai
Yuan, Chengxiang
Sun, Dongyang
Jin, Ningzhi
Wu, Xiaogang
Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter
title Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter
title_full Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter
title_fullStr Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter
title_full_unstemmed Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter
title_short Parameter adaptive terminal sliding mode control for Full-Bridge DC-DC converter
title_sort parameter adaptive terminal sliding mode control for full-bridge dc-dc converter
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906401/
https://www.ncbi.nlm.nih.gov/pubmed/33630901
http://dx.doi.org/10.1371/journal.pone.0247228
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