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Adaptive fuzzy sliding control of single-phase PV grid-connected inverter

In this paper, an adaptive fuzzy sliding mode controller is proposed to control a two-stage single-phase photovoltaic (PV) grid-connected inverter. Two key technologies are discussed in the presented PV system. An incremental conductance method with adaptive step is adopted to track the maximum powe...

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Detalles Bibliográficos
Autores principales: Fei, Juntao, Zhu, Yunkai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552357/
https://www.ncbi.nlm.nih.gov/pubmed/28797060
http://dx.doi.org/10.1371/journal.pone.0182916
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author Fei, Juntao
Zhu, Yunkai
author_facet Fei, Juntao
Zhu, Yunkai
author_sort Fei, Juntao
collection PubMed
description In this paper, an adaptive fuzzy sliding mode controller is proposed to control a two-stage single-phase photovoltaic (PV) grid-connected inverter. Two key technologies are discussed in the presented PV system. An incremental conductance method with adaptive step is adopted to track the maximum power point (MPP) by controlling the duty cycle of the controllable power switch of the boost DC-DC converter. An adaptive fuzzy sliding mode controller with an integral sliding surface is developed for the grid-connected inverter where a fuzzy system is used to approach the upper bound of the system nonlinearities. The proposed strategy has strong robustness for the sliding mode control can be designed independently and disturbances can be adaptively compensated. Simulation results of a PV grid-connected system verify the effectiveness of the proposed method, demonstrating the satisfactory robustness and performance.
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spelling pubmed-55523572017-08-25 Adaptive fuzzy sliding control of single-phase PV grid-connected inverter Fei, Juntao Zhu, Yunkai PLoS One Research Article In this paper, an adaptive fuzzy sliding mode controller is proposed to control a two-stage single-phase photovoltaic (PV) grid-connected inverter. Two key technologies are discussed in the presented PV system. An incremental conductance method with adaptive step is adopted to track the maximum power point (MPP) by controlling the duty cycle of the controllable power switch of the boost DC-DC converter. An adaptive fuzzy sliding mode controller with an integral sliding surface is developed for the grid-connected inverter where a fuzzy system is used to approach the upper bound of the system nonlinearities. The proposed strategy has strong robustness for the sliding mode control can be designed independently and disturbances can be adaptively compensated. Simulation results of a PV grid-connected system verify the effectiveness of the proposed method, demonstrating the satisfactory robustness and performance. Public Library of Science 2017-08-10 /pmc/articles/PMC5552357/ /pubmed/28797060 http://dx.doi.org/10.1371/journal.pone.0182916 Text en © 2017 Fei, Zhu 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
Fei, Juntao
Zhu, Yunkai
Adaptive fuzzy sliding control of single-phase PV grid-connected inverter
title Adaptive fuzzy sliding control of single-phase PV grid-connected inverter
title_full Adaptive fuzzy sliding control of single-phase PV grid-connected inverter
title_fullStr Adaptive fuzzy sliding control of single-phase PV grid-connected inverter
title_full_unstemmed Adaptive fuzzy sliding control of single-phase PV grid-connected inverter
title_short Adaptive fuzzy sliding control of single-phase PV grid-connected inverter
title_sort adaptive fuzzy sliding control of single-phase pv grid-connected inverter
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552357/
https://www.ncbi.nlm.nih.gov/pubmed/28797060
http://dx.doi.org/10.1371/journal.pone.0182916
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