Field testing of feedforward collective pitch control on the CART2 using a nacelle-based Lidar scanner
Abstract
This work presents the results from a field test of LIDAR assisted collective pitch control using a scanning LIDAR device installed on the nacelle of a mid-scale research turbine. A nonlinear feedforward controller is extended by an adaptive filter to remove all uncorrelated frequencies of the wind speed measurement to avoid unnecessary control action. Positive effects on the rotor speed regulation as well as on tower, blade and shaft loads have been observed in the case that the previous measured correlation and timing between the wind preview and the turbine reaction are accomplish. The feedforward controller had negative impact, when the LIDAR measurement was disturbed by obstacles in front of the turbine. This work proves, that LIDAR is valuable tool for wind turbine control not only in simulations but also under real conditions. Moreover, the paper shows that further understanding of the relationship between the wind measurement and the turbine reaction is crucial to improve LIDAR assisted control of wind turbines.
- Authors:
-
- Univ. Stuttgart (Germany)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- OSTI Identifier:
- 1243298
- Report Number(s):
- NREL/JA-5000-55222
Journal ID: ISSN 1742-6588
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Physics. Conference Series
- Additional Journal Information:
- Journal Volume: 555; Conference: The Science of Making Torque from Wind 2012, Oldenburg (Germany), 9–11 Oct 2012; Related Information: Journal of Physics: Conference Series; Journal ID: ISSN 1742-6588
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; wind energy; wind turbines; LIDAR
Citation Formats
Schlipf, David, Fleming, Paul, Haizmann, Florian, Scholbrock, Andrew, Hofsass, Martin, Wright, Alan, and Cheng, Po Wen. Field testing of feedforward collective pitch control on the CART2 using a nacelle-based Lidar scanner. United States: N. p., 2014.
Web. doi:10.1088/1742-6596/555/1/012090.
Schlipf, David, Fleming, Paul, Haizmann, Florian, Scholbrock, Andrew, Hofsass, Martin, Wright, Alan, & Cheng, Po Wen. Field testing of feedforward collective pitch control on the CART2 using a nacelle-based Lidar scanner. United States. https://doi.org/10.1088/1742-6596/555/1/012090
Schlipf, David, Fleming, Paul, Haizmann, Florian, Scholbrock, Andrew, Hofsass, Martin, Wright, Alan, and Cheng, Po Wen. Tue .
"Field testing of feedforward collective pitch control on the CART2 using a nacelle-based Lidar scanner". United States. https://doi.org/10.1088/1742-6596/555/1/012090. https://www.osti.gov/servlets/purl/1243298.
@article{osti_1243298,
title = {Field testing of feedforward collective pitch control on the CART2 using a nacelle-based Lidar scanner},
author = {Schlipf, David and Fleming, Paul and Haizmann, Florian and Scholbrock, Andrew and Hofsass, Martin and Wright, Alan and Cheng, Po Wen},
abstractNote = {This work presents the results from a field test of LIDAR assisted collective pitch control using a scanning LIDAR device installed on the nacelle of a mid-scale research turbine. A nonlinear feedforward controller is extended by an adaptive filter to remove all uncorrelated frequencies of the wind speed measurement to avoid unnecessary control action. Positive effects on the rotor speed regulation as well as on tower, blade and shaft loads have been observed in the case that the previous measured correlation and timing between the wind preview and the turbine reaction are accomplish. The feedforward controller had negative impact, when the LIDAR measurement was disturbed by obstacles in front of the turbine. This work proves, that LIDAR is valuable tool for wind turbine control not only in simulations but also under real conditions. Moreover, the paper shows that further understanding of the relationship between the wind measurement and the turbine reaction is crucial to improve LIDAR assisted control of wind turbines.},
doi = {10.1088/1742-6596/555/1/012090},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 555,
place = {United States},
year = {Tue Dec 16 00:00:00 EST 2014},
month = {Tue Dec 16 00:00:00 EST 2014}
}
Free Publicly Available Full Text
Publisher's Version of Record
Other availability
Search WorldCat to find libraries that may hold this journal
Cited by: 25 works
Citation information provided by
Web of Science
Web of Science
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Blade Pitch Control with Preview Wind Measurements
conference, June 2012
- Laks, Jason; Pao, Lucy; Wright, Alan
- 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition
Nonlinear model predictive control of wind turbines using LIDAR: Nonlinear model predictive control of wind turbines using LIDAR
journal, August 2012
- Schlipf, David; Schlipf, Dominik Johannes; Kühn, Martin
- Wind Energy, Vol. 16, Issue 7
Adaptive Vorsteuerung für Windenergieanlagen
journal, May 2013
- Schlipf, David; Cheng, Po Wen
- at - Automatisierungstechnik, Vol. 61, Issue 5
Refinements and Tests of an Advanced Controller to Mitigate Fatigue Loads in the Controls Advanced Research Turbine
conference, June 2012
- Wright, Alan; Fleming, Paul; van Wingerden, Jan-Willem
- 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition
Works referencing / citing this record:
Lidar estimation of rotor-effective wind speed – an experimental comparison
journal, January 2019
- Held, Dominique P.; Mann, Jakob
- Wind Energy Science, Vol. 4, Issue 3
Lidar Estimation of Rotor-Effective Wind Speed - An Experimental Comparison
journal, January 2019
- Held, Dominique P.; Mann, Jakob
- Wind Energy Science Discussions