Articles | Volume 11, issue 7
https://doi.org/10.5194/wes-11-2405-2026
https://doi.org/10.5194/wes-11-2405-2026
Research article
 | 
08 Jul 2026
Research article |  | 08 Jul 2026

Wind speed estimation using second-order sliding-mode observers: simulation and experimental validation on a floating offshore wind turbine

Moein Sarbandi, Matis Viozelange, Mohamed Assaad Hamida, and Franck Plestan

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Cited articles

Abbas, N. J., Zalkind, D. S., Pao, L., and Wright, A.: A reference open-source controller for fixed and floating offshore wind turbines, Wind Energ. Sci., 7, 53–73, https://doi.org/10.5194/wes-7-53-2022, 2022. a, b
Aslmostafa, E., Hamida, M., Shtessel, Y., Laghrouche, S., and Plestan, F.: A unified controller for a floating wind turbine evolving in Region II and Region III: preliminary experimental results, in: 2025 American Control Conference (ACC), Denver, CO, USA, 1494–1499, https://doi.org/10.23919/ACC63710.2025.11107947, 2025. a
Aslmostafa, E., Mirzaei, M., Hamida, M., and Plestan, F.: Experimental evaluation of robust nonlinear control strategies for regions II and III for floating offshore wind turbines, Ocean Eng., 346, 123887, https://doi.org/10.1016/j.oceaneng.2025.123887, 2026. a
Barambones, O., Cortajarena, J. A., Calvo, I., Gonzalez de Durana, J. M., Alkorta, P., and Karami-Mollaee, A.: Real time observer and control scheme for a wind turbine system based on a high order sliding modes, J. Frankl. Inst., 358, 5795–5819, https://doi.org/10.1016/j.jfranklin.2021.05.022, 2021. a
Bonnefoy, F., Leroy, V., Mojallizadeh, M., Delacroix, S., Arnal, V., and Gilloteaux, J.-C.: Multidimensional hybrid software-in-the-loop modeling approach for experimental analysis of a floating offshore wind turbine in wave tank experiments, Ocean Eng., 309, 118390, https://doi.org/10.1016/j.oceaneng.2024.118390, 2024. a, b
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Short summary
Floating offshore wind turbines unlock vast wind resources in deep waters, but platform motion makes wind speed hard to measure directly. This study develops an estimation method that infers wind speed from rotor rotation alone, using sliding-mode observer theory. Tested in a high-fidelity simulator and validated in a wave-tank experiment, the proposed method achieves comparable or superior accuracy to the Kalman filter, with simpler tuning, faster computation, and greater robustness.
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