Adaptive Fuzzy Fractional-Order PID Sliding Mode Control for Wind Turbine Performance Enhancement

Document Type : Research article

Authors

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.

Keywords



Articles in Press, Accepted Manuscript
Available Online from 27 September 2026

  • Receive Date 11 May 2026
  • Revise Date 26 August 2026
  • Accept Date 27 September 2026
  • Publish Date 27 September 2026