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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Latest update: 29 Jun 2024
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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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