Experimental Modelling of a Floating Offshore Wind Turbine

Christian Lindquist, Patrick Nørgaard Nielsen, Rikke Pedersen, Mohsen N. Soltani

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)


Leading wind turbine manufacturers are increasinglylooking at the possibilities of sending offshore wind turbinesto deep seas. This can be done using a Floating Offshore WindTurbine (FOWT). Therefore FOWT is an interesting and timelyfield of study. The aim of the paper is to use System Identification(SI) to make a data-driven-based model for the FOWT system,located in Offshore Wind & Wave Laboratory at Aalborg University.This is achieved by conducting experiments and analyzingthe data. SI is used to analyze data from the experiments andobtain different models. These models are then evaluated basedon the fit, the frequency response, autocorrelation and crosscorrelation.Eventually, an AutoRegressive Moving Average andExtra input (ARMAX) model is shown to be the most accurateamongst the analyzed models.
Original languageEnglish
Title of host publicationProceedings of the 23rd International Conference on Methods and Models in Automation and Robotics, MMAR
Number of pages6
PublisherIEEE Press
Publication dateAug 2018
Article number8485979
ISBN (Electronic)978-1-5386-4325-9
Publication statusPublished - Aug 2018
Event23rd International Conference on Methods & Models in Automation & Robotics - Amber Baltic Hotel, Miedzyzdroje, Poland
Duration: 27 Aug 201830 Aug 2018


Conference23rd International Conference on Methods & Models in Automation & Robotics
LocationAmber Baltic Hotel
Internet address


  • Offshore
  • Floating
  • Wind Turbine
  • Hydrodynamic
  • system identification
  • Modeling


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