Articles | Volume 8, issue 4
https://doi.org/10.5194/wes-8-575-2023
https://doi.org/10.5194/wes-8-575-2023
Research article
 | 
24 Apr 2023
Research article |  | 24 Apr 2023

Prognostics-based adaptive control strategy for lifetime control of wind turbines

Edwin Kipchirchir, M. Hung Do, Jackson G. Njiri, and Dirk Söffker

Viewed

Total article views: 1,991 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,521 424 46 1,991 31 32
  • HTML: 1,521
  • PDF: 424
  • XML: 46
  • Total: 1,991
  • BibTeX: 31
  • EndNote: 32
Views and downloads (calculated since 30 Nov 2021)
Cumulative views and downloads (calculated since 30 Nov 2021)

Viewed (geographical distribution)

Total article views: 1,991 (including HTML, PDF, and XML) Thereof 1,934 with geography defined and 57 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Jul 2024
Download
Short summary
In this work, an adaptive control strategy for controlling the lifetime of wind turbine components is proposed. Performance of the lifetime controller is adapted based on real-time health status of the rotor blades to guarantee a predefined lifetime. It shows promising results in lifetime control of blades without speed regulation and tower load mitigation trade-off. It can be applied in optimizing maintenance scheduling of wind farms, which increases reliability and reduces maintenance costs.
Altmetrics
Final-revised paper
Preprint