Articles | Volume 4, issue 4
Wind Energ. Sci., 4, 677–692, 2019
https://doi.org/10.5194/wes-4-677-2019
Wind Energ. Sci., 4, 677–692, 2019
https://doi.org/10.5194/wes-4-677-2019
Research article
18 Dec 2019
Research article | 18 Dec 2019

Uncertainty identification of blade-mounted lidar-based inflow wind speed measurements for robust feedback–feedforward control synthesis

Róbert Ungurán et al.

Viewed

Total article views: 2,742 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,824 845 73 2,742 57 54
  • HTML: 1,824
  • PDF: 845
  • XML: 73
  • Total: 2,742
  • BibTeX: 57
  • EndNote: 54
Views and downloads (calculated since 16 Apr 2019)
Cumulative views and downloads (calculated since 16 Apr 2019)

Viewed (geographical distribution)

Total article views: 1,918 (including HTML, PDF, and XML) Thereof 1,843 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Jul 2022
Download
Short summary
A novel lidar-based sensory system for wind turbine control is proposed. The main contributions are the parametrization method of the novel measurement system, the identification of possible sources of measurement uncertainty, and their modelling. Although not the focus of the submitted paper, the mentioned contributions represent essential building blocks for robust feedback–feedforward wind turbine control development which could be used to improve wind turbine control strategies.