Articles | Volume 8, issue 8
https://doi.org/10.5194/wes-8-1299-2023
https://doi.org/10.5194/wes-8-1299-2023
Research article
 | 
24 Aug 2023
Research article |  | 24 Aug 2023

Assessing lidar-assisted feedforward and multivariable feedback controls for large floating wind turbines

Feng Guo and David Schlipf

Viewed

Total article views: 2,258 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,856 352 50 2,258 51 40
  • HTML: 1,856
  • PDF: 352
  • XML: 50
  • Total: 2,258
  • BibTeX: 51
  • EndNote: 40
Views and downloads (calculated since 09 Mar 2023)
Cumulative views and downloads (calculated since 09 Mar 2023)

Viewed (geographical distribution)

Total article views: 2,258 (including HTML, PDF, and XML) Thereof 2,211 with geography defined and 47 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
This paper assesses lidar-assisted collective pitch feedforward (LACPF) and multi-variable feedback (MVFB) controls for the IEA 15.0 MW reference turbine. The main contributions of this work include (a) optimizing a four-beam pulsed lidar for a large turbine, (b) optimal tuning of speed regulation gains and platform feedback gains for the MVFB and LACPF controllers, and (c) assessing the benefits of the two control strategies using realistic offshore turbulence spectral characteristics.
Altmetrics
Final-revised paper
Preprint