Articles | Volume 8, issue 8
https://doi.org/10.5194/wes-8-1299-2023
https://doi.org/10.5194/wes-8-1299-2023
Research article
 | 
24 Aug 2023
Research article |  | 24 Aug 2023

Assessing lidar-assisted feedforward and multivariable feedback controls for large floating wind turbines

Feng Guo and David Schlipf

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-9', Anonymous Referee #1, 22 Mar 2023
  • RC2: 'Comment on wes-2023-9', Anonymous Referee #2, 24 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Feng Guo on behalf of the Authors (05 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Reconsider after major revisions (02 Jun 2023) by Irene Eguinoa
AR by Feng Guo on behalf of the Authors (13 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Jul 2023) by Irene Eguinoa
ED: Publish as is (04 Jul 2023) by Paul Fleming (Chief editor)
AR by Feng Guo on behalf of the Authors (08 Jul 2023)  Manuscript 
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Short summary
This paper assesses lidar-assisted collective pitch feedforward (LACPF) and multi-variable feedback (MVFB) controls for the IEA 15.0 MW reference turbine. The main contributions of this work include (a) optimizing a four-beam pulsed lidar for a large turbine, (b) optimal tuning of speed regulation gains and platform feedback gains for the MVFB and LACPF controllers, and (c) assessing the benefits of the two control strategies using realistic offshore turbulence spectral characteristics.
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