Wind Energy Science
Wind Energy Science
WES
Articles | Volume 10, issue 9
Articles | Volume 10, issue 9
https://doi.org/10.5194/wes-10-1907-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-10-1907-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 9
Research article
 | 
09 Sep 2025
Research article |  | 09 Sep 2025

Lidar-assisted nonlinear output regulation of wind turbines for fatigue load reduction

Robert H. Moldenhauer and Robert Schmid

Viewed

Total article views: 2,074 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,665 326 83 2,074 87 119
  • HTML: 1,665
  • PDF: 326
  • XML: 83
  • Total: 2,074
  • BibTeX: 87
  • EndNote: 119
Views and downloads (calculated since 24 Jan 2025)
Cumulative views and downloads (calculated since 24 Jan 2025)

Viewed (geographical distribution)

Total article views: 2,074 (including HTML, PDF, and XML) Thereof 2,034 with geography defined and 40 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Feb 2026
Download
Short summary
We explore the application of a novel wind turbine control methodology for maximizing power generation while also improving the turbine's lifespan by reducing fatigue load on the tower structure, blades, and rotor. Simulations of the controller against a state-of-the-art baseline controller and an existing lidar-assisted control method on a 15 MW reference turbine showed that the controller improves on all performance metrics without sacrificing power generation or tracking performance.
Read more
Share
Altmetrics
Final-revised paper
Preprint