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Validating subspace predictive repetitive control under turbulent wind conditions with wind tunnel experiment

Conference Paper (2018)
Author(s)

Joeri Alexis Frederik (TU Delft - Team Jan-Willem van Wingerden)

Lars Kröger (University of Oldenburg)

Joachim Peinke (University of Oldenburg)

Michael Hölling (University of Oldenburg)

Jan Willem Wingerden (TU Delft - Team Jan-Willem van Wingerden)

Research Group
Team Jan-Willem van Wingerden
Copyright
© 2018 J.A. Frederik, Lars Kröger, Joachim Peinke, Michael Hölling, J.W. van Wingerden
DOI related publication
https://doi.org/10.1088/1742-6596/1037/3/032008
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 J.A. Frederik, Lars Kröger, Joachim Peinke, Michael Hölling, J.W. van Wingerden
Research Group
Team Jan-Willem van Wingerden
Volume number
1037
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Abstract

To reduce the cost of wind energy, it is essential to reduce loads on turbine blades to increase lifetime and decrease maintenance cost. To achieve this, Individual Pitch Control (IPC) received an increasing amount of attention in recent years. In this paper, a data-driven IPC algorithm called Subspace Predictive Repetitive Control (SPRC) is used to alleviate periodic loads on a scaled 2-bladed wind turbine in turbulent wind conditions. These wind conditions are created in an open-jet wind tunnel with an active grid, enabling unique reproducible high turbulent wind conditions. Significant load reductions are achieved even under these high turbulent conditions.