Wind Turbine Control Systems
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Abstract
Abstract
Abstract. Rotor-effective wind speed (REWS) estimation is crucial for the control and performance optimization of floating offshore wind turbines (FOWTs). This paper introduces a robust estimation framework based on second-order sliding-mode observers (SOSMOs), developed in both constant-gain and adaptive versions. The observers are developed using a reduced-order dynamic model and validated in the OpenFAST simulation environment when all degrees of freedom are activated. Their performances are compared with the continuous–discrete extended Kalman filter (CD–EKF) used in the reference open-source controller (ROSCO). The proposed approach is assessed under stochastic wind/wave conditions through OpenFAST simulations and further validated experimentally using a scaled software-in-the-loop (SIL) setup. Simulation results indicate that the proposed observers perform comparably to the CD–EKF in terms of estimation accuracy while offering robustness, simpler implementation, and reduced computational complexity.
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@article{Sarbandi2026Wind,
title = {Wind speed estimation using second-order sliding-mode observers: simulation and experimental validation on a floating offshore wind turbine},
author = {Moein Sarbandi and Matis Viozelange and Mohamed Assaad Hamida and Franck Plestan},
journal = {Wind energy science},
year = {2026},
doi = {10.5194/wes-11-2405-2026},
url = {https://doi.org/10.5194/wes-11-2405-2026}
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