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.
Original language | English |
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Title of host publication | Journal of Physics: Conference Series |
Subtitle of host publication | The Science of Making Torque from Wind (TORQUE 2018) |
Place of Publication | Bristol, UK |
Publisher | IOP Publishing |
Number of pages | 7 |
Volume | 1037 |
DOIs | |
Publication status | Published - 2018 |
Event | TORQUE 2018: The Science of Making Torque from Wind - Milano, Italy Duration: 20 Jun 2018 → 22 Jun 2018 http://www.torque2018.org/ |
Publication series
Name | Journal of Physics: Conference Series |
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Publisher | IOP Publishing Ltd. |
ISSN (Print) | 1742-6588 |
Conference
Conference | TORQUE 2018 |
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Abbreviated title | TORQUE 2018 |
Country/Territory | Italy |
City | Milano |
Period | 20/06/18 → 22/06/18 |
Internet address |