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

Conference paper (2018)

Authors

J.A. Frederik Team Jan-Willem van Wingerden - Mechanical, Maritime and Materials Engineering
Lars Kröger University of Oldenburg
Joachim Peinke University of Oldenburg
Michael Hölling University of Oldenburg
J.W. van Wingerden Team Jan-Willem van Wingerden - Mechanical, Maritime and Materials Engineering
Research Group
Team Jan-Willem van Wingerden (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2018 J.A. Frederik, Lars Kröger, Joachim Peinke, Michael Hölling, J.W. van Wingerden
DOI: https://doi.org/10.1088/1742-6596/1037/3/032008
More Info
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Published Date

2018

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Jan-Willem van Wingerden

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.