Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-8418
Authors: Fürst, Holger
Schlipf, David
Iribas Latour, Mikel
Cheng, Po Wen
Title: Design and evaluation of a lidar-based feedforward controller for the INNWIND.EU 10 MW wind turbine
Issue Date: 2015
metadata.ubs.publikation.typ: Konferenzbeitrag
metadata.ubs.publikation.source: European Wind Energy Association Annual Event (EWEA), Paris, France, November 2015
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-103963
http://elib.uni-stuttgart.de/handle/11682/8435
http://dx.doi.org/10.18419/opus-8418
Abstract: For the development of the next generation of multi megawatt wind turbines, advanced control concepts are one of the major tasks. Reduction of fatigue and extreme loading could help to improve the overall design process and make plants more cost effective. This work deals with the application of the promising methodology of feedforward control using nacelle-based lidar sensor measurements on a 10 MW wind turbine concept. After lidar data processing has been described, the feedforward controller is designed such that disturbances from the changing wind speed to the generator speed are compensated by adding an update to the collective pitch rate signal of the normal feedback controller. The evaluation of the feedforward controller is done in two steps: Firstly, simulations using perfect lidar data measurements are applied to check the robustness of the controller against model uncertainties. After that, simulations with realistic lidar measurements are investigated. To improve control performance, the scanning configuration of the used lidar system is optimized. Over all it can be shown that lidar-assisted control leads to significant load reductions, especially in the full load region of the 10 MW turbine.
Appears in Collections:15 Fakultätsübergreifend / Sonstige Einrichtung



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