Validating subspace predictive repetitive control under turbulent wind conditions with wind tunnel experiment
Joeri Frederik (TU Delft - Mechanical Engineering)
Lars Kröger (University of Oldenburg)
Joachim Peinke (University of Oldenburg)
Michael Hölling (University of Oldenburg)
Jan Willem Van Wingerden (TU Delft - Mechanical Engineering)
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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.
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