1
Department of Electrical Engineering, Hamedan University of Technology, Hamedan, Iran
2
Department of Electrical Engineering, Tafresh University, Tafresh 39518-79611, Iran
10.61882/jgeri.2026.2086289.1110
Abstract
This paper proposes an adaptive hybrid controller based on advanced control algorithms for wind turbines. Unlike the traditional PID-based controller, for which the controller parameters are adjusted via repeated testing and modification, the proposed control strategy utilizes the advantages of an intelligent fuzzy logic controller to adaptively and automatically tune the controller parameters. This mechanism enables the system to adapt to variations in operating conditions or modeling uncertainties, thereby strengthening the system against changes. Fractional calculus is incorporated in the sliding mode control (SMC) approach to offer more degrees of freedom and enhance the system's flexibility. The use of the PID-SMC scheme in designing the controller provides fast responses and appropriate robustness against uncertainties and disturbances. The proposed intelligent control methodology based on fuzzy logic suppresses chattering and enhances system performance. The presented results confirm the effectiveness of the presented control algorithm in wind turbine control, such as tracking reference trajectories with high accuracy, maximizing wind power capture, and alleviating imposed fluctuations and oscillations in the mechanical components by applying a smooth control signal.
Shalbafian, A. & Amiri, F. (2026). Adaptive Fuzzy Fractional-Order PID Sliding Mode Control for Wind Turbine Performance Enhancement. (e741997). Journal of Green Energy Research and Innovation, (), e741997 https://doi.org/10.61882/jgeri.2026.2086289.1110
MLA
Shalbafian, A., & Amiri, F. "Adaptive Fuzzy Fractional-Order PID Sliding Mode Control for Wind Turbine Performance Enhancement" .e741997 , Journal of Green Energy Research and Innovation, , 2026, e741997. doi: 10.61882/jgeri.2026.2086289.1110
HARVARD
Shalbafian A., Amiri F. (2026). 'Adaptive Fuzzy Fractional-Order PID Sliding Mode Control for Wind Turbine Performance Enhancement', Journal of Green Energy Research and Innovation, (), e741997. doi: 10.61882/jgeri.2026.2086289.1110
CHICAGO
A. Shalbafian & F. Amiri, "Adaptive Fuzzy Fractional-Order PID Sliding Mode Control for Wind Turbine Performance Enhancement," Journal of Green Energy Research and Innovation, (2026): e741997, doi: 10.61882/jgeri.2026.2086289.1110
VANCOUVER
Shalbafian A., Amiri F. Adaptive Fuzzy Fractional-Order PID Sliding Mode Control for Wind Turbine Performance Enhancement. JGERI. 2026;():e741997. doi: 10.61882/jgeri.2026.2086289.1110