March 3, 2026IFAC-PapersOnLine0 citationsOpen Access

Adaptive fractional-order sliding mode control for DFIG-based WT

SBS. BoudjemiaUniversity of Jijel ABAbdesselem BoulkrouneUniversity of Jijel NBN. BounarUniversity of Jijel

Key Points

High tracking precision achieved with the proposed fractional-order sliding mode control (FOSMC) strategy, addressing energy conversion efficiency.
Simulation results show robustness against uncertainties, indicating the effectiveness of real-time uncertainty estimation using radial basis function neural networks.
The use of a nonsingular sliding surface eliminates chattering effects, ensuring smooth control and performance in wind turbine operations.
Assessment through simulations emphasizes the controller's potential for practical applications in improving wind energy systems.

Abstract

This study introduces a novel fractional-order sliding mode control (FOSMC) strategy for DFIG-based wind turbines, aiming to optimize energy conversion efficiency. The approach combines FOSMC with radial basis function neural networks (RBFNNs) to achieve a fast practical finite-time convergence and eliminate chattering through a specially designed nonsingular sliding surface. System robustness is reinforced by a RBFNN-driven real-time uncertainty estimation. Simulation results confirm the controller’s high tracking precision, strong robustness against uncertainties, and complete suppression of chattering effects.

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