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Current Sensorless Based on PI MPPT Algorithms

This paper presents novel current sensorless maximum-power point-tracking (MPPT) algorithms based on compensators/controllers and a single-input voltage sensor. The proposed MPPTs eliminate the expensive and noisy current sensor, which can significantly reduce the system cost and retain the advantag...

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Detalles Bibliográficos
Autores principales: de Brito, Moacyr A. G., Martines, Guilherme M. S., Volpato, Anderson S., Godoy, Ruben B., Batista, Edson A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224162/
https://www.ncbi.nlm.nih.gov/pubmed/37430507
http://dx.doi.org/10.3390/s23104587
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author de Brito, Moacyr A. G.
Martines, Guilherme M. S.
Volpato, Anderson S.
Godoy, Ruben B.
Batista, Edson A.
author_facet de Brito, Moacyr A. G.
Martines, Guilherme M. S.
Volpato, Anderson S.
Godoy, Ruben B.
Batista, Edson A.
author_sort de Brito, Moacyr A. G.
collection PubMed
description This paper presents novel current sensorless maximum-power point-tracking (MPPT) algorithms based on compensators/controllers and a single-input voltage sensor. The proposed MPPTs eliminate the expensive and noisy current sensor, which can significantly reduce the system cost and retain the advantages of the widely used MPPT algorithms, such as Incremental Conductance (IC) and Perturb and Observe (P&O) algorithms. Additionally, it is verified that the proposed algorithms, especially the proposed Current Sensorless V based on PI, can reach outstanding tracking factors (TFs) such as the IC and P&O based on PI algorithms. In this sense, the insertion of controllers inside the MPPT gives them adaptive characteristics, and the experimental TFs are in the remarkable range of more than 99%, with an average yield of 99.51% and a peak of 99.80%.
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spelling pubmed-102241622023-05-28 Current Sensorless Based on PI MPPT Algorithms de Brito, Moacyr A. G. Martines, Guilherme M. S. Volpato, Anderson S. Godoy, Ruben B. Batista, Edson A. Sensors (Basel) Article This paper presents novel current sensorless maximum-power point-tracking (MPPT) algorithms based on compensators/controllers and a single-input voltage sensor. The proposed MPPTs eliminate the expensive and noisy current sensor, which can significantly reduce the system cost and retain the advantages of the widely used MPPT algorithms, such as Incremental Conductance (IC) and Perturb and Observe (P&O) algorithms. Additionally, it is verified that the proposed algorithms, especially the proposed Current Sensorless V based on PI, can reach outstanding tracking factors (TFs) such as the IC and P&O based on PI algorithms. In this sense, the insertion of controllers inside the MPPT gives them adaptive characteristics, and the experimental TFs are in the remarkable range of more than 99%, with an average yield of 99.51% and a peak of 99.80%. MDPI 2023-05-09 /pmc/articles/PMC10224162/ /pubmed/37430507 http://dx.doi.org/10.3390/s23104587 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Brito, Moacyr A. G.
Martines, Guilherme M. S.
Volpato, Anderson S.
Godoy, Ruben B.
Batista, Edson A.
Current Sensorless Based on PI MPPT Algorithms
title Current Sensorless Based on PI MPPT Algorithms
title_full Current Sensorless Based on PI MPPT Algorithms
title_fullStr Current Sensorless Based on PI MPPT Algorithms
title_full_unstemmed Current Sensorless Based on PI MPPT Algorithms
title_short Current Sensorless Based on PI MPPT Algorithms
title_sort current sensorless based on pi mppt algorithms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224162/
https://www.ncbi.nlm.nih.gov/pubmed/37430507
http://dx.doi.org/10.3390/s23104587
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