Articles | Volume 5, issue 4
https://doi.org/10.5194/wes-5-1579-2020
https://doi.org/10.5194/wes-5-1579-2020
Research article
 | 
17 Nov 2020
Research article |  | 17 Nov 2020

Automatic controller tuning using a zeroth-order optimization algorithm

Daniel S. Zalkind, Emiliano Dall'Anese, and Lucy Y. Pao

Viewed

Total article views: 4,426 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,598 733 95 4,426 97 81
  • HTML: 3,598
  • PDF: 733
  • XML: 95
  • Total: 4,426
  • BibTeX: 97
  • EndNote: 81
Views and downloads (calculated since 26 Mar 2020)
Cumulative views and downloads (calculated since 26 Mar 2020)

Viewed (geographical distribution)

Total article views: 4,426 (including HTML, PDF, and XML) Thereof 4,122 with geography defined and 304 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
New wind turbine designs require updated control parameters, which should be optimal in terms of the performance measures that drive hardware design. We show how a zeroth-order optimization algorithm can randomly generate control parameters, use simulation results to estimate the gradient of the parameter space, and find an optimal set of those parameters. We then apply this automatic controller tuning procedure to three problems in wind turbine control.
Altmetrics
Final-revised paper
Preprint