Articles | Volume 3, issue 2
https://doi.org/10.5194/wes-3-791-2018
https://doi.org/10.5194/wes-3-791-2018
Research article
 | 
25 Oct 2018
Research article |  | 25 Oct 2018

Automatic detection and correction of pitch misalignment in wind turbine rotors

Marta Bertelè, Carlo L. Bottasso, and Stefano Cacciola

Related authors

The rotor as a sensor – Observing shear and veer from the operational data of a large wind turbine
Marta Bertelè, Paul J. Meyer, Carlo R. Sucameli, Johannes Fricke, Anna Wegner, Julia Gottschall, and Carlo L. Bottasso
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2023-134,https://doi.org/10.5194/wes-2023-134, 2023
Revised manuscript under review for WES
Short summary
Wind inflow observation from load harmonics: initial steps towards a field validation
Marta Bertelè, Carlo L. Bottasso, and Johannes Schreiber
Wind Energ. Sci., 6, 759–775, https://doi.org/10.5194/wes-6-759-2021,https://doi.org/10.5194/wes-6-759-2021, 2021
Short summary
Field testing of a local wind inflow estimator and wake detector
Johannes Schreiber, Carlo L. Bottasso, and Marta Bertelè
Wind Energ. Sci., 5, 867–884, https://doi.org/10.5194/wes-5-867-2020,https://doi.org/10.5194/wes-5-867-2020, 2020
Short summary
Brief communication: Wind inflow observation from load harmonics – wind tunnel validation of the rotationally symmetric formulation
Marta Bertelè, Carlo L. Bottasso, and Stefano Cacciola
Wind Energ. Sci., 4, 89–97, https://doi.org/10.5194/wes-4-89-2019,https://doi.org/10.5194/wes-4-89-2019, 2019
Short summary
Wind inflow observation from load harmonics
Marta Bertelè, Carlo L. Bottasso, Stefano Cacciola, Fabiano Daher Adegas, and Sara Delport
Wind Energ. Sci., 2, 615–640, https://doi.org/10.5194/wes-2-615-2017,https://doi.org/10.5194/wes-2-615-2017, 2017
Short summary

Related subject area

Control and system identification
Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach
Yichao Liu, Riccardo Ferrari, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 523–537, https://doi.org/10.5194/wes-7-523-2022,https://doi.org/10.5194/wes-7-523-2022, 2022
Short summary
A reference open-source controller for fixed and floating offshore wind turbines
Nikhar J. Abbas, Daniel S. Zalkind, Lucy Pao, and Alan Wright
Wind Energ. Sci., 7, 53–73, https://doi.org/10.5194/wes-7-53-2022,https://doi.org/10.5194/wes-7-53-2022, 2022
Short summary
Experimental results of wake steering using fixed angles
Paul Fleming, Michael Sinner, Tom Young, Marine Lannic, Jennifer King, Eric Simley, and Bart Doekemeijer
Wind Energ. Sci., 6, 1521–1531, https://doi.org/10.5194/wes-6-1521-2021,https://doi.org/10.5194/wes-6-1521-2021, 2021
Short summary
Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance
Eric Simley, Paul Fleming, Nicolas Girard, Lucas Alloin, Emma Godefroy, and Thomas Duc
Wind Energ. Sci., 6, 1427–1453, https://doi.org/10.5194/wes-6-1427-2021,https://doi.org/10.5194/wes-6-1427-2021, 2021
Short summary
Model-based design of a wave-feedforward control strategy in floating wind turbines
Alessandro Fontanella, Mees Al, Jan-Willem van Wingerden, and Marco Belloli
Wind Energ. Sci., 6, 885–901, https://doi.org/10.5194/wes-6-885-2021,https://doi.org/10.5194/wes-6-885-2021, 2021
Short summary

Cited articles

Axelsson, U., Bjork, M., and Haag, C.: Method for Balancing a Wind Turbine, US Patent No. 8683688 B2, 2014. a
Bertelè, M., Cacciola, S., Bottasso, C. L., and Domestici M.: Automatic track and balance of wind turbine rotors, in: WCCM 2017 – 1st World Congress on Condition Monitoring, 13–16 June 2017, London, UK, 2017. a
Bossanyi, E. A.: Wind turbine control for load reduction, Wind Energy, 6, 229–244, https://doi.org/10.1002/we.95, 2003. a
Bottasso, C. L. and Croce, A.: Cp-Lambda: User's Manual, 2006. a
Cacciola, S., and Riboldi, C. E. D.: Equalizing aerodynamic blade loads through individual pitch control via multiblade multilag transformation, J. Sol. Energ., 139, 061008, https://doi.org/10.1115/1.4037744, 2017. a
Download
Short summary
This work presents a new fully automated method to correct for pitch misalignment imbalances of wind turbine rotors. The method has minimal requirements, as it only assumes the availability of a sensor of sufficient accuracy and bandwidth to detect the 1P harmonic to the desired precision and the ability to command the pitch setting of each blade independently from the others. Extensive numerical simulations are used to demonstrate the new procedure.
Altmetrics
Final-revised paper
Preprint