Articles | Volume 5, issue 4
Wind Energ. Sci., 5, 1579–1600, 2020
https://doi.org/10.5194/wes-5-1579-2020
Wind Energ. Sci., 5, 1579–1600, 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 et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Daniel Zalkind on behalf of the Authors (05 Jun 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Jul 2020) by Katherine Dykes
RR by Alan Wai Hou Lio (07 Aug 2020)
ED: Publish as is (24 Aug 2020) by Katherine Dykes
ED: Publish as is (24 Aug 2020) by Jakob Mann(Chief Editor)
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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.