DocumentCode :
3357130
Title :
Optimization of a feed-forward controller using a CW-lidar system on the CART3
Author :
Haizmann, Florian ; Schlipf, David ; Raach, Steffen ; Scholbrock, Andrew ; Wright, Alan ; Slinger, Chris ; Medley, John ; Harris, Michael ; Bossanyi, Ervin ; Po Wen Cheng
Author_Institution :
Wind Energy (SWE), Univ. Stuttgart, Stuttgart, Germany
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
3715
Lastpage :
3720
Abstract :
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.
Keywords :
CW radar; feedback; feedforward; optical radar; optimisation; CART3; CW-lidar system; National Renewable Energy Laboratory; ZephIR Lidar; baseline feedback controller gain; data processing; field-testing campaign; lidar capability; lidar measurement; lidar-based collective pitch feedforward controller; nacelle-mounted continuous-wave lidar system; optimal scan distance; optimization; spectra-based analytical model; three-bladed controls advanced research turbine; turbine reaction; Correlation; Laser radar; Optimization; Transfer functions; Wind speed; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7171907
Filename :
7171907
Link To Document :
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