Data-driven repetitive control: Wind tunnel experiments under turbulent conditions
Systems and Control
2018-09-13 v1
Abstract
A commonly applied method to reduce the cost of wind energy, is alleviating the periodic loads on turbine blades using Individual Pitch Control (IPC). In this paper, a data-driven IPC methodology called Subspace Predictive Repetitive Control (SPRC) is employed. The effectiveness of SPRC will be demonstrated on a scaled 2-bladed wind turbine. An open-jet wind tunnel with an innovative active grid is employed to generate reproducible turbulent wind conditions. A significant load reduction with limited actuator duty is achieved even under these high turbulent conditions. Furthermore, it will be demonstrated that SPRC is able to adapt to changing operating conditions.
Keywords
Cite
@article{arxiv.1809.04296,
title = {Data-driven repetitive control: Wind tunnel experiments under turbulent conditions},
author = {Joeri Frederik and Lars Kröger and Gert Gülker and Jan-Willem van Wingerden},
journal= {arXiv preprint arXiv:1809.04296},
year = {2018}
}
Comments
14 pages, 16 figures