Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 2
Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-523-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-523-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 2
Research article
 | 
11 Mar 2022
Research article |  | 11 Mar 2022

Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach

Yichao Liu, Riccardo Ferrari, and Jan-Willem van Wingerden

Viewed

Total article views: 2,798 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,807 936 55 2,798 47 35
  • HTML: 1,807
  • PDF: 936
  • XML: 55
  • Total: 2,798
  • BibTeX: 47
  • EndNote: 35
Views and downloads (calculated since 22 Jan 2021)
Cumulative views and downloads (calculated since 22 Jan 2021)

Viewed (geographical distribution)

Total article views: 2,798 (including HTML, PDF, and XML) Thereof 2,686 with geography defined and 112 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Oct 2024
Download
Short summary
The objective of the paper is to develop a data-driven output-constrained individual pitch control approach, which will not only mitigate the blade loads but also reduce the pitch activities. This is achieved by only reducing the blade loads violating a user-defined bound, which leads to an economically viable load control strategy. The proposed control strategy shows promising results of load reduction in the wake-rotor overlapping and turbulent sheared wind conditions.
Read more
Altmetrics
Final-revised paper
Preprint