Comparison of feedforward and model predictive control of wind turbines using LIDAR

dc.contributor.authorSchlipf, Davidde
dc.contributor.authorPao, Lucy Y.de
dc.contributor.authorCheng, Po Wende
dc.date.accessioned2013-06-13de
dc.date.accessioned2016-03-31T08:07:19Z
dc.date.available2013-06-13de
dc.date.available2016-03-31T08:07:19Z
dc.date.issued2012de
dc.description.abstractLIDAR systems are able to provide preview information of wind disturbances at various distances in front of wind turbines. This technology paves the way for new control concepts such as feedforward control and model predictive control. This paper compares a nonlinear model predictive controller and a feedforward controller to a baseline controller. Realistic wind "measurements" are obtained using a detailed simulation of a LIDAR system. A full lifetime comparison shows the advantages of using the wind predictions to reduce wind turbine fatigue loads on the tower and blades as well as to limit the blade pitch rates. The results illustrate that the feedforward controller can be combined with a tower feedback controller to yield similar load reductions as the model predictive controller.en
dc.identifier.other392046059de
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-84703de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/3922
dc.identifier.urihttp://dx.doi.org/10.18419/opus-3905
dc.language.isoende
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.subject.classificationWindenergie , Lidar , Vorsteuerung , MPCde
dc.subject.ddc624de
dc.subject.otherlidar , wind energy , load reduction , feed forward control , nonlinear model predictive controlen
dc.titleComparison of feedforward and model predictive control of wind turbines using LIDARen
dc.typeconferenceObjectde
ubs.fakultaetFakultät Luft- und Raumfahrttechnik und Geodäsiede
ubs.fakultaetFakultätsübergreifend / Sonstige Einrichtungde
ubs.institutInstitut für Flugzeugbaude
ubs.institutSonstige Einrichtungde
ubs.opusid8470de
ubs.publikation.sourceProceedings of the Conference on Decision and Control, Maui, USA, 2012de
ubs.publikation.typKonferenzbeitragde

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