Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Wind Energ. Sci., 2, 153-173, 2017
http://www.wind-energ-sci.net/2/153/2017/
doi:10.5194/wes-2-153-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research articles
15 Mar 2017
Iterative feedback tuning of wind turbine controllers
Edwin van Solingen, Sebastiaan Paul Mulders, and Jan-Willem van Wingerden Delft Center for Systems and Control, Faculty of Mechanical Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, the Netherlands
Abstract. 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.

Citation: van Solingen, E., Mulders, S. P., and van Wingerden, J.-W.: Iterative feedback tuning of wind turbine controllers, Wind Energ. Sci., 2, 153-173, doi:10.5194/wes-2-153-2017, 2017.
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Short summary
The aim of this paper is to show that with an automated tuning strategy, wind turbine control performance can be significantly increased. To this end, iterative feedback tuning (IFT) is applied to two different turbine controllers. The results obtained by high-fidelity simulations indicate significant performance improvements over baseline controllers. It is concluded that IFT of turbine controllers has the potential to become a valuable tool for improving wind turbine performance.
The aim of this paper is to show that with an automated tuning strategy, wind turbine control...
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