Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1785050111456313344 |
---|---|
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%. |
format | Online Article Text |
id | pubmed-10224162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT debritomoacyrag currentsensorlessbasedonpimpptalgorithms AT martinesguilhermems currentsensorlessbasedonpimpptalgorithms AT volpatoandersons currentsensorlessbasedonpimpptalgorithms AT godoyrubenb currentsensorlessbasedonpimpptalgorithms AT batistaedsona currentsensorlessbasedonpimpptalgorithms |