Zobrazeno 1 - 10
of 200
pro vyhledávání: '"L. Chrifi Alaoui"'
Publikováno v:
Electrical engineering & Electromechanics, Vol 2024, Iss 2, Pp 61-66 (2024)
Introduction. In this paper, to maximize energy transmission in wind power system, various Maximum Power Point Tracking (MPPT) approaches are available. Among these techniques, we have proposed the one based on typical fuzzy logic. Despite the somewh
Externí odkaz:
https://doaj.org/article/2318c35e61a544a89058f3df5c689fd6
Publikováno v:
Electrical engineering & Electromechanics, Iss 2, Pp 11-17 (2022)
Introduction. This paper presents a robust nonlinear control of the DC-DC boost converter feeding by a photovoltaic system based on the passivity control. The control law design uses the passivity approach. Novelty. The novelty consists in designing
Externí odkaz:
https://doaj.org/article/f775a4a39765471dae3ec820e71ac720
Publikováno v:
Electrical engineering & Electromechanics, Iss 5, Pp 57-66 (2021)
Introduction. This article deals with the optimization of the energy conversion of a grid-connected photovoltaic system. The novelty is to develop an intelligent maximum power point tracking technique using artificial neural network algorithms. Purpo
Externí odkaz:
https://doaj.org/article/e5c28242eeb8426fa3ba3f7f305cc747
Publikováno v:
Iranian Journal of Electrical and Electronic Engineering, Vol 16, Iss 1, Pp 85-95 (2020)
This paper suggests novel sensorless speed estimation for an induction motor (IM) based on a stator current model reference adaptive system (IS-MRAS) scheme. The IS-MRAS scheme uses the error between the reference and estimated stator current vectors
Externí odkaz:
https://doaj.org/article/ccb1f37971df45508e74f9782ee37798
Akademický článek
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Akademický článek
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Publikováno v:
2021 International Conference on Control, Automation and Diagnosis (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0647459d0c69704659b921d748e4392
https://doi.org/10.1109/iccad52417.2021.9638764
https://doi.org/10.1109/iccad52417.2021.9638764
Publikováno v:
2021 International Conference on Control, Automation and Diagnosis (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b78944aa12869b1a3a8166ba1f9ce94
https://doi.org/10.1109/iccad52417.2021.9638760
https://doi.org/10.1109/iccad52417.2021.9638760
Publikováno v:
2021 International Conference on Control, Automation and Diagnosis (ICCAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88f7662988e5db1b582fbcf675b0b76d
https://doi.org/10.1109/iccad52417.2021.9638724
https://doi.org/10.1109/iccad52417.2021.9638724
Publikováno v:
Electrical engineering & Electromechanics, Iss 5, Pp 57-66 (2021)
Electrical Engineering & Electromechanics; No. 5 (2021); 57-66
Электротехника и Электромеханика; № 5 (2021); 57-66
Електротехніка і Електромеханіка; № 5 (2021); 57-66
Electrical Engineering & Electromechanics; No. 5 (2021); 57-66
Электротехника и Электромеханика; № 5 (2021); 57-66
Електротехніка і Електромеханіка; № 5 (2021); 57-66
Introduction. This article deals with the optimization of the energy conversion of a grid-connected photovoltaic system. The novelty is to develop an intelligent maximum power point tracking technique using artificial neural network algorithms. Purpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::519afb587e5d4eb93b99dce83a044be0
http://arxiv.org/abs/2110.13246
http://arxiv.org/abs/2110.13246
