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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MDPI AG
2025-01-01
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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. |
format | Article |
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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