Model-Free Speed Control for Pumping Kite Generator Systems Based on Nonlinear Hyperbolic Tangent Tracking Differentiator

This paper investigates the emerging field of grid-connected wind-powered pumping kite generator system (PKGS), focusing on the challenges associated with the generator/motor speed control. Conventional use of proportional–integral (PI) controllers faces difficulties in meeting requirements for dyna...

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Main Authors: Mouaad Belguedri, Abdeldjabar Benrabah, Farid Khoucha, Emmanuel Delaleau, Mohamed Benbouzid, Khelifa Benmansour
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/2/685
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author Mouaad Belguedri
Abdeldjabar Benrabah
Farid Khoucha
Emmanuel Delaleau
Mohamed Benbouzid
Khelifa Benmansour
author_facet Mouaad Belguedri
Abdeldjabar Benrabah
Farid Khoucha
Emmanuel Delaleau
Mohamed Benbouzid
Khelifa Benmansour
author_sort Mouaad Belguedri
collection DOAJ
description This paper investigates the emerging field of grid-connected wind-powered pumping kite generator system (PKGS), focusing on the challenges associated with the generator/motor speed control. Conventional use of proportional–integral (PI) controllers faces difficulties in meeting requirements for dynamic response, tracking performance, stability, and disturbance rejection encountered in this technology, notably the periodical variation in the rotational speed reference in maximum power point tracking in generation phases and the dynamic response for the step reference in transient ones. To overcome these limitations, a model-free controller (MFC) approach is introduced, also known as intelligent PID controllers. Unlike traditional methods, MFC does not rely on a control model of the system and adapts to uncertainties and disturbances through online estimation based on the system’s input–output behavior. To further improve the control performances, a tracking differentiator based on a nonlinear hyperbolic tangent function is integrated in the MFC. The effectiveness of the proposed strategy is proved through simulations in MATLAB/Simulink. The results highlight the superior performances of the proposed MFC approach in terms of speed control accuracy, response time, and robustness.
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id doaj-art-0a45f0c9c734434ea59ec46a06db5ae0
institution Kabale University
issn 2076-3417
language English
publishDate 2025-01-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj-art-0a45f0c9c734434ea59ec46a06db5ae02025-01-24T13:20:27ZengMDPI AGApplied Sciences2076-34172025-01-0115268510.3390/app15020685Model-Free Speed Control for Pumping Kite Generator Systems Based on Nonlinear Hyperbolic Tangent Tracking DifferentiatorMouaad Belguedri0Abdeldjabar Benrabah1Farid Khoucha2Emmanuel Delaleau3Mohamed Benbouzid4Khelifa Benmansour5Ecole Militaire Polytechnique, UER ELT, Algiers 16046, AlgeriaEcole Militaire Polytechnique, UER ELT, Algiers 16046, AlgeriaEcole Militaire Polytechnique, UER ELT, Algiers 16046, AlgeriaInstitut de Recherche Dupuy de Lôme (UMR CNRS 6027), ENI Brest, 29200 Brest, FranceInstitut de Recherche Dupuy de Lôme (UMR CNRS 6027), University of Brest, 29238 Brest, FranceFaculty of Science and Technology, University of Médéa, Médéa 26000, AlgeriaThis paper investigates the emerging field of grid-connected wind-powered pumping kite generator system (PKGS), focusing on the challenges associated with the generator/motor speed control. Conventional use of proportional–integral (PI) controllers faces difficulties in meeting requirements for dynamic response, tracking performance, stability, and disturbance rejection encountered in this technology, notably the periodical variation in the rotational speed reference in maximum power point tracking in generation phases and the dynamic response for the step reference in transient ones. To overcome these limitations, a model-free controller (MFC) approach is introduced, also known as intelligent PID controllers. Unlike traditional methods, MFC does not rely on a control model of the system and adapts to uncertainties and disturbances through online estimation based on the system’s input–output behavior. To further improve the control performances, a tracking differentiator based on a nonlinear hyperbolic tangent function is integrated in the MFC. The effectiveness of the proposed strategy is proved through simulations in MATLAB/Simulink. The results highlight the superior performances of the proposed MFC approach in terms of speed control accuracy, response time, and robustness.https://www.mdpi.com/2076-3417/15/2/685airborne wind turbinespumping kite generatormodel-free controltracking differentiatorrobust controlspeed control
spellingShingle Mouaad Belguedri
Abdeldjabar Benrabah
Farid Khoucha
Emmanuel Delaleau
Mohamed Benbouzid
Khelifa Benmansour
Model-Free Speed Control for Pumping Kite Generator Systems Based on Nonlinear Hyperbolic Tangent Tracking Differentiator
Applied Sciences
airborne wind turbines
pumping kite generator
model-free control
tracking differentiator
robust control
speed control
title Model-Free Speed Control for Pumping Kite Generator Systems Based on Nonlinear Hyperbolic Tangent Tracking Differentiator
title_full Model-Free Speed Control for Pumping Kite Generator Systems Based on Nonlinear Hyperbolic Tangent Tracking Differentiator
title_fullStr Model-Free Speed Control for Pumping Kite Generator Systems Based on Nonlinear Hyperbolic Tangent Tracking Differentiator
title_full_unstemmed Model-Free Speed Control for Pumping Kite Generator Systems Based on Nonlinear Hyperbolic Tangent Tracking Differentiator
title_short Model-Free Speed Control for Pumping Kite Generator Systems Based on Nonlinear Hyperbolic Tangent Tracking Differentiator
title_sort model free speed control for pumping kite generator systems based on nonlinear hyperbolic tangent tracking differentiator
topic airborne wind turbines
pumping kite generator
model-free control
tracking differentiator
robust control
speed control
url https://www.mdpi.com/2076-3417/15/2/685
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AT faridkhoucha modelfreespeedcontrolforpumpingkitegeneratorsystemsbasedonnonlinearhyperbolictangenttrackingdifferentiator
AT emmanueldelaleau modelfreespeedcontrolforpumpingkitegeneratorsystemsbasedonnonlinearhyperbolictangenttrackingdifferentiator
AT mohamedbenbouzid modelfreespeedcontrolforpumpingkitegeneratorsystemsbasedonnonlinearhyperbolictangenttrackingdifferentiator
AT khelifabenmansour modelfreespeedcontrolforpumpingkitegeneratorsystemsbasedonnonlinearhyperbolictangenttrackingdifferentiator