Výsledky vyhledávání - "Guerbaoui Mohammed"

Akademický článek

An hybrid control strategy design for Photovoltaic battery charger

Autor: Rkik Iliass, El khayat Mohamed, Hamidane Hafsa, Ed-Dahhak Abdelali, Guerbaoui Mohammed, Lachhab Abdeslam

Publikováno v: E3S Web of Conferences, Vol 336, p 00067 (2022)

This work presents the design and the modelling of an improved lead acid Battery charger for solar photovoltaic applications. In this context, the control unit of the battery charger is composed of two intelligent controllers. In the first state, an

Externí odkaz: https://doaj.org/article/27c90bdeb1084b61b16a59969ce0b0aa

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Akademický článek

Constrained Discrete Model Predictive Control of a Greenhouse Relative Humidity

Autor: Hamidane Hafsa, El Faiz Samira, Lachhab Abdeslam, Guerbaoui Mohammed, Ed-Dahhak Abdelali

Publikováno v: E3S Web of Conferences, Vol 229, p 01001 (2021)

In this paper, we present a Constrained Discete Model Predictive Control (CDMPC) strategy application for relative humidity control. In this sense, and for our system inside humidity dynamics description, a green-house prototype is engaged and a stat

Externí odkaz: https://doaj.org/article/0b823255f44f4709aa5d64d9dae102fa

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Akademický článek

An intelligent lead-acid battery closed-loop charger using a combined fuzzy controller for PV applications

Autor: Rkik Iliass, El khayat Mohamed, Hamidane Hafsa, Ed-Dahhak Abdelali, Guerbaoui Mohammed, Lachhab Abdeslam

Publikováno v: E3S Web of Conferences, Vol 297, p 01033 (2021)

This paper presents the modeling of an intelligent combined MPPT and Lead-Acid battery charger controller for standalone solar photovoltaic systems. It involves the control of a DC/DC buck converter through a control unit, which contains two cascaded

Externí odkaz: https://doaj.org/article/023d6b98250d412d821f4af8fc06e2e3

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Akademický článek

Application analysis of ANFIS strategy for greenhouse climate parameters prediction: Internal temperature and internal relative humidity case of study

Autor: Hamidane Hafsa, El Faiz Samira, Rkik Iliass, El Khayat Mohamed, Guerbaoui Mohammed, Ed-Dhhak Abdelali, Lachhab Abdeslam

Publikováno v: E3S Web of Conferences, Vol 297, p 01041 (2021)

The present paper, introduces Adaptive Neuro Fuzzy Inference System (ANFIS) as one of the most mature and intelligent methods to predicte internal temperature and relative humidity of a greenhouse system. To conduct the application of the proposed st

Externí odkaz: https://doaj.org/article/53fe97640d5f4b3f80d229247c26537a

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