Iterative feedback tuning of wind turbine controllers

Traditionally, wind turbine controllers are designed using first principles or linearized or identified models. The aim of this paper is to show that with an automated, online, and model-free tuning strategy, wind turbine control performance can be significantly increased. For this purpose, itera...

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Main Authors: E. van Solingen, S. P. Mulders, J.-W. van Wingerden
Format: Article
Language:English
Published: Copernicus Publications 2017-03-01
Series:Wind Energy Science
Online Access:https://www.wind-energ-sci.net/2/153/2017/wes-2-153-2017.pdf
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author E. van Solingen
S. P. Mulders
J.-W. van Wingerden
author_facet E. van Solingen
S. P. Mulders
J.-W. van Wingerden
author_sort E. van Solingen
collection DOAJ
description Traditionally, wind turbine controllers are designed using first principles or linearized or identified models. The aim of this paper is to show that with an automated, online, and model-free tuning strategy, wind turbine control performance can be significantly increased. For this purpose, iterative feedback tuning (IFT) is applied to two different turbine controllers: drivetrain damping and collective pitch control. The results, obtained by high-fidelity simulations using the NREL 5MW wind turbine, indicate significant performance improvements over baseline controllers, which were designed using classical loop-shaping techniques. It is concluded that iterative feedback tuning of turbine controllers has the potential to become a valuable tool to improve wind turbine performance.
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spelling doaj.art-c137975788ca40f79ee14d4b082561a22022-12-21T17:56:55ZengCopernicus PublicationsWind Energy Science2366-74432366-74512017-03-01215317310.5194/wes-2-153-2017Iterative feedback tuning of wind turbine controllersE. van Solingen0S. P. Mulders1J.-W. van Wingerden2Delft Center for Systems and Control, Faculty of Mechanical Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, the NetherlandsDelft Center for Systems and Control, Faculty of Mechanical Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, the NetherlandsDelft Center for Systems and Control, Faculty of Mechanical Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, the NetherlandsTraditionally, wind turbine controllers are designed using first principles or linearized or identified models. The aim of this paper is to show that with an automated, online, and model-free tuning strategy, wind turbine control performance can be significantly increased. For this purpose, iterative feedback tuning (IFT) is applied to two different turbine controllers: drivetrain damping and collective pitch control. The results, obtained by high-fidelity simulations using the NREL 5MW wind turbine, indicate significant performance improvements over baseline controllers, which were designed using classical loop-shaping techniques. It is concluded that iterative feedback tuning of turbine controllers has the potential to become a valuable tool to improve wind turbine performance.https://www.wind-energ-sci.net/2/153/2017/wes-2-153-2017.pdf
spellingShingle E. van Solingen
S. P. Mulders
J.-W. van Wingerden
Iterative feedback tuning of wind turbine controllers
Wind Energy Science
title Iterative feedback tuning of wind turbine controllers
title_full Iterative feedback tuning of wind turbine controllers
title_fullStr Iterative feedback tuning of wind turbine controllers
title_full_unstemmed Iterative feedback tuning of wind turbine controllers
title_short Iterative feedback tuning of wind turbine controllers
title_sort iterative feedback tuning of wind turbine controllers
url https://www.wind-energ-sci.net/2/153/2017/wes-2-153-2017.pdf
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AT spmulders iterativefeedbacktuningofwindturbinecontrollers
AT jwvanwingerden iterativefeedbacktuningofwindturbinecontrollers