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Image of Vibration Testing and System Dynamics
ISSN: 2475-4811 (print)
ISSN: 2475-482X (online)
Journal of Vibration Testing and System Dynamics

C. Steve Suh (editor), Pawel Olejnik (editor),

Xianguo Tuo (editor)

Pawel Olejnik (editor)

Lodz University of Technology, Poland

Email: pawel.olejnik@p.lodz.pl

C. Steve Suh (editor)

Texas A&M University, USA

Email: ssuh@tamu.edu

Xiangguo Tuo (editor)

Sichuan University of Science and Engineering, China

Email: tuoxianguo@suse.edu.cn

Application of Flatness-Based Control for Wind Turbines with a Fuzzy Logic MPPT Controller

Journal of Vibration Testing and System Dynamics 10(2) (2026) 161--175 | DOI:10.5890/JVTSD.2026.06.005

Abderahmane Mechter, Manal Messadi, Karim Kemih

L2EI Laboratory, Jijel University, BP 98 Ouled A"{i}ssa 18000, Jijel, Algeria

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Abstract

This paper introduces a novel control strategy designed for a variable-speed wind turbine, specifically one equipped with a Doubly Fed Induction Generator (DFIG). The primary objective of the proposed control approach is to optimize the turbine's performance by ensuring efficient tracking and trajectory planning. This is achieved through the use of a flatness-based controller, which is responsible for managing the trajectory of the turbine's operation. Additionally, to maximize the power output, a fuzzy logic controller is employed to optimize the tracking power point. To determine the ideal parameters for the flatness-based controller, genetic algorithms are utilized. These algorithms help in identifying the optimal settings that allow the system to operate at peak efficiency. The effectiveness of this approach was validated through simulation results conducted in the Matlab/Simulink environment. The simulations, which were carried out using a 660 kW three-blade wind turbine model, demonstrated the robustness and effectiveness of the proposed control method. The results highlighted that the suggested approach not only improves the power tracking but also ensures the system's resilience under varying operational conditions. This indicates the potential for real-world applications in wind energy generation, where such control strategies could significantly enhance turbine performance and reliability.

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