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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2017-03-01
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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. |
first_indexed | 2024-12-23T06:31:29Z |
format | Article |
id | doaj.art-c137975788ca40f79ee14d4b082561a2 |
institution | Directory Open Access Journal |
issn | 2366-7443 2366-7451 |
language | English |
last_indexed | 2024-12-23T06:31:29Z |
publishDate | 2017-03-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Wind Energy Science |
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 |
work_keys_str_mv | AT evansolingen iterativefeedbacktuningofwindturbinecontrollers AT spmulders iterativefeedbacktuningofwindturbinecontrollers AT jwvanwingerden iterativefeedbacktuningofwindturbinecontrollers |