基于自适应障碍函数分数阶滑模控制的风浪干扰下漂浮式海上风力机有限时间稳定化

Floating offshore wind turbines harness more vigorous and more stable winds, making them a promising solution for clean energy. However, their stability is compromised by sea waves and sudden winds, reducing power extraction. To address these challenges, this paper proposes a finite-time fractional-order adaptive SMC for tension-leg platform wind turbines to enhance stability and efficiency. A fractional-order model ensures accurate system representation, while a barrier-function-based adaptive control strategy guarantees rapid, finite-time convergence, mitigates chattering, and suppresses external disturbances through real-time estimation. The proposed controller effectively stabilizes the system, helping to maximize power extraction. Simulation results in the MATLAB-Simulink environment demonstrate superior performance compared to conventional methods in terms of disturbance rejection and convergence speed. Furthermore, hardware-in-the-loop validation using a Speedgoat platform confirms the method's real-time feasibility and robustness under realistic operational conditions. The proposed approach offers a significant advancement in floating offshore wind turbines stability and control, ensuring efficient energy harvesting even under severe environmental disturbances. These findings contribute to the development of more reliable and resilient floating wind energy systems, supporting the transition toward sustainable offshore wind power.