Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 10
Articles | Volume 9, issue 10
https://doi.org/10.5194/wes-9-1923-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1923-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 10
Research article
 | 
10 Oct 2024
Research article |  | 10 Oct 2024

On the robustness of a blade-load-based wind speed estimator to dynamic pitch control strategies

Marion Coquelet, Maxime Lejeune, Laurent Bricteux, Aemilius A. W. van Vondelen, Jan-Willem van Wingerden, and Philippe Chatelain

Viewed

Total article views: 1,558 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
996 296 266 1,558 46 42
  • HTML: 996
  • PDF: 296
  • XML: 266
  • Total: 1,558
  • BibTeX: 46
  • EndNote: 42
Views and downloads (calculated since 15 May 2024)
Cumulative views and downloads (calculated since 15 May 2024)

Viewed (geographical distribution)

Total article views: 1,558 (including HTML, PDF, and XML) Thereof 1,510 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Apr 2025
Download
Short summary
An extended Kalman filter is used to estimate the wind impinging on a wind turbine based on the blade bending moments and a turbine model. Using large-eddy simulations, this paper verifies how robust the estimator is to the turbine control strategy as it impacts loads and operating parameters. It is shown that including dynamics in the turbine model to account for delays between actuation and bending moments is needed to maintain the accuracy of the estimator when dynamic pitch control is used.
Read more
Share
Altmetrics
Final-revised paper
Preprint