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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/10/4587 |
| _version_ | 1797598370686042112 |
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| author | Moacyr A. G. de Brito Guilherme M. S. Martines Anderson S. Volpato Ruben B. Godoy Edson A. Batista |
| author_facet | Moacyr A. G. de Brito Guilherme M. S. Martines Anderson S. Volpato Ruben B. Godoy Edson A. Batista |
| author_sort | Moacyr A. G. de Brito |
| collection | DOAJ |
| 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%. |
| first_indexed | 2024-03-11T03:21:17Z |
| format | Article |
| id | doaj.art-44fba49d407b4e7c9ea4c5cd90d3c0d9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T03:21:17Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-44fba49d407b4e7c9ea4c5cd90d3c0d92023-11-18T03:09:37ZengMDPI AGSensors1424-82202023-05-012310458710.3390/s23104587Current Sensorless Based on PI MPPT AlgorithmsMoacyr A. G. de Brito0Guilherme M. S. Martines1Anderson S. Volpato2Ruben B. Godoy3Edson A. Batista4Electrical Engineering Department, Faculty of Engineering, Architecture and Urbanism and Geography—FAENG, Federal University of Mato Grosso do Sul—UFMS, Costa e Silva Avenue, Campo Grande 79070-900, MS, BrazilElectrical Engineering Department, Faculty of Engineering, Architecture and Urbanism and Geography—FAENG, Federal University of Mato Grosso do Sul—UFMS, Costa e Silva Avenue, Campo Grande 79070-900, MS, BrazilElectrical Engineering Department, Faculty of Engineering, Architecture and Urbanism and Geography—FAENG, Federal University of Mato Grosso do Sul—UFMS, Costa e Silva Avenue, Campo Grande 79070-900, MS, BrazilElectrical Engineering Department, Faculty of Engineering, Architecture and Urbanism and Geography—FAENG, Federal University of Mato Grosso do Sul—UFMS, Costa e Silva Avenue, Campo Grande 79070-900, MS, BrazilElectrical Engineering Department, Faculty of Engineering, Architecture and Urbanism and Geography—FAENG, Federal University of Mato Grosso do Sul—UFMS, Costa e Silva Avenue, Campo Grande 79070-900, MS, BrazilThis 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%.https://www.mdpi.com/1424-8220/23/10/4587controllersMPPTreduced costsensorless |
| spellingShingle | Moacyr A. G. de Brito Guilherme M. S. Martines Anderson S. Volpato Ruben B. Godoy Edson A. Batista Current Sensorless Based on PI MPPT Algorithms Sensors controllers MPPT reduced cost sensorless |
| 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 | controllers MPPT reduced cost sensorless |
| url | https://www.mdpi.com/1424-8220/23/10/4587 |
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