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Field testing of feedforward collective pitch control on the CART2 using a nacelle-based Lidar scanner

Journal Article · · Journal of Physics. Conference Series
 [1];  [2];  [1];  [2];  [1];  [2];  [1]
  1. Univ. Stuttgart (Germany)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
+ Show Author Affiliations
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.
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1243298
Alternate ID(s):
OSTI ID: 22445024
Report Number(s):
NREL/JA-5000-55222
Journal Information:
Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 555; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

References (5)

Nonlinear model predictive control of wind turbines using LIDAR: Nonlinear model predictive control of wind turbines using LIDAR journal August 2012
Model of the Correlation between Lidar Systems and Wind Turbines for Lidar-Assisted Control journal October 2013
Adaptive Vorsteuerung für Windenergieanlagen journal May 2013
Blade Pitch Control with Preview Wind Measurements conference June 2012
Refinements and Tests of an Advanced Controller to Mitigate Fatigue Loads in the Controls Advanced Research Turbine
  • Wright, Alan; Fleming, Paul; van Wingerden, Jan-Willem
  • 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition https://doi.org/10.2514/6.2011-815
conference June 2012

Cited By (2)

Lidar Estimation of Rotor-Effective Wind Speed - An Experimental Comparison journal January 2019
Lidar estimation of rotor-effective wind speed – an experimental comparison journal January 2019

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Related Subjects

17 WIND ENERGY
LIDAR
wind energy
wind turbines