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Autor(en): Haizmann, Florian
Schlipf, David
Raach, Steffen
Scholbrock, Andrew
Wright, Alan
Slinger, Chris
Medley, John
Harris, Michael
Bossanyi, Ervin
Cheng, Po Wen
Titel: Optimization of a feed-forward controller using a CW-lidar system on the CART3
Erscheinungsdatum: 2015
Dokumentart: Konferenzbeitrag
Erschienen in: Proceedings of the American Control Conference, Chicago, USA, 2015
Zusammenfassung: This work presents results from a new field-testing campaign conducted on the three-bladed Controls Advanced Research Turbine (CART3) at the National Renewable Energy Laboratory in 2014. Tests were conducted using a commercially available, nacelle-mounted continuous-wave lidar system from ZephIR Lidar for the implementation of a lidar-based collective pitch feed-forward controller. During the campaign, the data processing of the lidar system was optimized for higher availability. Furthermore, the optimal scan distance was investigated for the CART3 by means of a spectra-based analytical model and found to match the lidar's capabilities well. Throughout the campaign the predicted correlation between the lidar measurements and the turbine's reaction was confirmed from the measured data. Additionally, the baseline feedback controller's gains were tuned based on a simulation study that included the lidar system to achieve further load reductions. This led to some promising first results, which are presented at the end of this paper.
Enthalten in den Sammlungen:06 Fakultät Luft- und Raumfahrttechnik und Geodäsie

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