  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.
