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

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

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)
AR by Daniel Zalkind on behalf of the Authors (31 Aug 2020)  Manuscript 
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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.
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