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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.
Afiliação
  • de Brito MAG; Electrical 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, Brazil.
  • Martines GMS; Electrical 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, Brazil.
  • Volpato AS; Electrical 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, Brazil.
  • Godoy RB; Electrical 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, Brazil.
  • Batista EA; Electrical 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, Brazil.
Sensors (Basel) ; 23(10)2023 May 09.
Article em En | MEDLINE | ID: mdl-37430507
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça