Articles | Volume 4, issue 4
https://doi.org/10.5194/wes-4-677-2019
https://doi.org/10.5194/wes-4-677-2019
Research article
 | 
18 Dec 2019
Research article |  | 18 Dec 2019

Uncertainty identification of blade-mounted lidar-based inflow wind speed measurements for robust feedback–feedforward control synthesis

Róbert Ungurán, Vlaho Petrović, Lucy Y. Pao, and Martin Kühn

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Status: closed
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 Róbert Ungurán on behalf of the Authors (11 Aug 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (21 Aug 2019) by Jakob Mann
RR by Anonymous Referee #2 (03 Oct 2019)
ED: Publish as is (20 Oct 2019) by Jakob Mann
ED: Publish as is (20 Oct 2019) by Jakob Mann (Chief editor)
AR by Róbert Ungurán on behalf of the Authors (26 Oct 2019)  Manuscript 
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Short summary
A novel lidar-based sensory system for wind turbine control is proposed. The main contributions are the parametrization method of the novel measurement system, the identification of possible sources of measurement uncertainty, and their modelling. Although not the focus of the submitted paper, the mentioned contributions represent essential building blocks for robust feedback–feedforward wind turbine control development which could be used to improve wind turbine control strategies.
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