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DOE OSTI · 1823575

Two-DoF Model-Informed Controller Gain Tuning for Several Floating Wind Platforms

Lenfest, Eben·Goupee, Andrew·Wright, Alan·Abbas, Nikhar (ORCID:0000000218383463)
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Abstract

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.

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artificial intelligenceblade pitch controlfloating production systemFPSOfrequencyoffshore windOpenFASTsubsea systemsustainabilitywind energy

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Lenfest, Eben, Goupee, Andrew, Wright, Alan, Abbas, Nikhar (ORCID:0000000218383463). 2021-06-20. Two-DoF Model-Informed Controller Gain Tuning for Several Floating Wind Platforms. https://www.osti.gov/biblio/1823575

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