Two-DoF Model-Informed Controller Gain Tuning for Several Floating Wind Platforms: Paper No. ISOPE-I-21-1222

Eben Lenfest, Andrew Goupee, Alan Wright, Nikhar Abbas

Research output: Contribution to conferencePaper


Much effort has recently been put into the development of collective blade pitch controllers for floating offshore wind turbines, with the aim of overcoming negative damping issues that arise with traditional control methods. One proposed approach to this challenge involves using a two-degree-of-freedom model to inform the gain schedule of a nacelle velocity feedback term in an otherwise conventional proportional-integral controller. The model uses tower-top fore-aft and rotor angular displacements, and is used to calculate a nacelle velocity feedback gain that results in a specified increase in platform pitch damping. Earlier performance evaluations of this tuning method were favorable, suggesting its potential as an easy way for researchers to obtain an adequate controller. This paper expands on those previous results by examining the performance of the tuning method relative to baseline controllers for several hull configurations, and for several prescribed increases in platform pitch damping. Simulations were run in OpenFAST for several load cases above rated wind speed and show results consistent with trends in the earlier study. The tuning method is thus shown to be adaptable to many different types of hulls, making it useful for the evaluation of prototype designs.
Original languageAmerican English
Number of pages7
StatePublished - 2021
Event31st International Ocean and Polar Engineering Conference - Rhodes, Greece
Duration: 20 Jun 202125 Jun 2021


Conference31st International Ocean and Polar Engineering Conference
CityRhodes, Greece

NREL Publication Number

  • NREL/CP-5000-79676


  • artificial intelligence
  • blade pitch control
  • floating production system
  • FPSO
  • frequency
  • offshore wind
  • OpenFAST
  • subsea system
  • sustainability
  • wind energy


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