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

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  • معلومة اضافية
    • Contributors:
      École Militaire Polytechnique = Polytechnic Military School Alger=Algiers (EMP); Ministère de l'Enseignement Supérieur et de la Recherche Scientifique Algérie (MESRS)-Ministère de la Défense Nationale Algérie; École Nationale d'Ingénieurs de Brest (ENIB); Université de Brest (UBO EPE)-Institut National Polytechnique de Bretagne (Bretagne INP); Institut de Recherche Dupuy de Lôme (IRDL); Université de Brest (UBO EPE)-Institut National Polytechnique de Bretagne (Bretagne INP)-Université de Brest (UBO EPE)-Institut National Polytechnique de Bretagne (Bretagne INP)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure de Techniques Avancées (ENSTA); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris); Yahya Fares University - Medea = Université Yahia Fares de Médéa Medea, Algeria (YFUM)
    • بيانات النشر:
      CCSD
      Multidisciplinary digital publishing institute (MDPI)
    • الموضوع:
      2025
    • Collection:
      Université de Bretagne Sud: HAL
    • نبذة مختصرة :
      International audience ; 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.
    • الرقم المعرف:
      10.3390/app15020685
    • الدخول الالكتروني :
      https://hal.univ-brest.fr/hal-05351457
      https://hal.univ-brest.fr/hal-05351457v1/document
      https://hal.univ-brest.fr/hal-05351457v1/file/applsci-15-00685.pdf
      https://doi.org/10.3390/app15020685
    • Rights:
      http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.55209AB9