Optimization of a Feed-Forward Controller Using a CW-lidar System on the CART3

Andrew Scholbrock; Alan Wright; Florian Shizmann; David Schlipf; Steffen Raach; Chris Slinger; John Medley; Michael Harris; Ervin Bossanyi; Po Cheng

doi:10.1109/ACC.2015.7171907

Optimization of a Feed-Forward Controller Using a CW-lidar System on the CART3

Andrew Scholbrock, Alan Wright, Florian Shizmann, David Schlipf, Steffen Raach, Chris Slinger, John Medley, Michael Harris, Ervin Bossanyi, Po Cheng

National Wind Technology Center

Research output: Contribution to conference › Paper › peer-review

17 Scopus Citations

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.

Original language	American English
Pages	3715-3720
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2015.7171907 https://doi.org/10.1109/ACC.2015.7171907
State	Published - 28 Jul 2015
Event	2015 American Control Conference, ACC 2015 - Chicago, United States Duration: 1 Jul 2015 → 3 Jul 2015

Conference

Conference	2015 American Control Conference, ACC 2015
Country/Territory	United States
City	Chicago
Period	1/07/15 → 3/07/15

Bibliographical note

Publisher Copyright:
© 2015 American Automatic Control Council.

NREL Publication Number

NREL/CP-5000-63917

Keywords

CART3
controls advanced research turbine
field testing
LIDAR
National Wind Technology Center
NREL
NWTC

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Scholbrock, A., Wright, A., Shizmann, F., Schlipf, D., Raach, S., Slinger, C., Medley, J., Harris, M., Bossanyi, E., & Cheng, P. (2015). Optimization of a Feed-Forward Controller Using a CW-lidar System on the CART3. 3715-3720. Paper presented at 2015 American Control Conference, ACC 2015, Chicago, United States. https://doi.org/10.1109/ACC.2015.7171907, https://doi.org/10.1109/ACC.2015.7171907

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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.",

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Scholbrock, A , Wright, A, Shizmann, F, Schlipf, D, Raach, S, Slinger, C, Medley, J, Harris, M, Bossanyi, E & Cheng, P 2015, 'Optimization of a Feed-Forward Controller Using a CW-lidar System on the CART3', Paper presented at 2015 American Control Conference, ACC 2015, Chicago, United States, 1/07/15 - 3/07/15 pp. 3715-3720. https://doi.org/10.1109/ACC.2015.7171907, https://doi.org/10.1109/ACC.2015.7171907

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AU - Raach, Steffen

AU - Slinger, Chris

AU - Medley, John

AU - Harris, Michael

AU - Bossanyi, Ervin

AU - Cheng, Po

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N2 - 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.

AB - 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.

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KW - field testing

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Optimization of a Feed-Forward Controller Using a CW-lidar System on the CART3

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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