Robust MPPT Control of PMSG Wind Turbines Using Sliding Mode Control

Wind energy is becoming an increasingly promising technology and a more significant player in energy production. However, due to the nonlinear nature of the system and the impact of external conditions, an effective control strategy is crucial. In this paper, we employ Sliding Mode Control as a Maxi...

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Main Authors: Gezzaz Driss, Miqoi Sabah, El Ougli Abdelghani
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00068.pdf
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author Gezzaz Driss
Miqoi Sabah
El Ougli Abdelghani
author_facet Gezzaz Driss
Miqoi Sabah
El Ougli Abdelghani
author_sort Gezzaz Driss
collection DOAJ
description Wind energy is becoming an increasingly promising technology and a more significant player in energy production. However, due to the nonlinear nature of the system and the impact of external conditions, an effective control strategy is crucial. In this paper, we employ Sliding Mode Control as a Maximum Power Point Tracker (MPPT) on a Buck-Boost converter to connect the DC load to the wind turbine generator. All system components are modeled and simulated using MATLAB/Simulink, and the results demonstrate the promising potential of the SMC method.
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institution Kabale University
issn 2267-1242
language English
publishDate 2025-01-01
publisher EDP Sciences
record_format Article
series E3S Web of Conferences
spelling doaj-art-dfde0ae2a0da4b55851073f2ecb5ea462025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010006810.1051/e3sconf/202560100068e3sconf_icegc2024_00068Robust MPPT Control of PMSG Wind Turbines Using Sliding Mode ControlGezzaz Driss0Miqoi Sabah1El Ougli Abdelghani2Computer Science, Signal, Automation and Cognitivism Laboratory, Faculty of Sciences Dhar El Mahraz FezTeam of Embedded Systems, Renewable Energy and Artificial Intelligence, National School of Applied Sciences, Mohammed First University OujdaComputer Science, Signal, Automation and Cognitivism Laboratory, Faculty of Sciences Dhar El Mahraz FezWind energy is becoming an increasingly promising technology and a more significant player in energy production. However, due to the nonlinear nature of the system and the impact of external conditions, an effective control strategy is crucial. In this paper, we employ Sliding Mode Control as a Maximum Power Point Tracker (MPPT) on a Buck-Boost converter to connect the DC load to the wind turbine generator. All system components are modeled and simulated using MATLAB/Simulink, and the results demonstrate the promising potential of the SMC method.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00068.pdf
spellingShingle Gezzaz Driss
Miqoi Sabah
El Ougli Abdelghani
Robust MPPT Control of PMSG Wind Turbines Using Sliding Mode Control
E3S Web of Conferences
title Robust MPPT Control of PMSG Wind Turbines Using Sliding Mode Control
title_full Robust MPPT Control of PMSG Wind Turbines Using Sliding Mode Control
title_fullStr Robust MPPT Control of PMSG Wind Turbines Using Sliding Mode Control
title_full_unstemmed Robust MPPT Control of PMSG Wind Turbines Using Sliding Mode Control
title_short Robust MPPT Control of PMSG Wind Turbines Using Sliding Mode Control
title_sort robust mppt control of pmsg wind turbines using sliding mode control
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00068.pdf
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AT miqoisabah robustmpptcontrolofpmsgwindturbinesusingslidingmodecontrol
AT elougliabdelghani robustmpptcontrolofpmsgwindturbinesusingslidingmodecontrol