ABSTRACT LIDAR systems are able to provide preview information of wind disturbances at
various distances in front of wind turbines. This technology paves the way for new control …

ABSTRACT A field test with a continuous wave wind lidar (ZephIR) installed in the rotating
spinner of a wind turbine for unimpeded preview measurements of the upwind approaching …

An application of model predictive control (MPC) to the wind turbine collective pitch and
torque control problem in full-load operation is presented. The applied controller is able to …

An adaptive feedforward controller based on a filtered-x recursive least square (FX-RLS)
algorithm and a non-adaptive feedforward controller based on a zero-phase-error tracking …

The main challenges in harvesting energy from the wind arise from the unknown incoming
turbulent wind field. Balancing the competing interests of reduction in structural loads and …

IEA Wind Task 32 serves as an international platform for the research community and
industry to identify and mitigate barriers to the use of lidars in wind energy applications. The …

Combined feedback/feedforward blade pitch control is compared to industry standard
feedback control when simulated in realistic turbulent winds. The feedforward controllers are …

IEA Wind Task 32 exists to identify and mitigate barriers to the adoption of lidar for wind
energy applications. It leverages ongoing international research and development activities …

LIDAR (Light detection and ranging) systems are able to provide preview information of wind
disturbances at various distances in front of wind turbines. This information can be used to …

Further improvements in the cost‐effectiveness of wind turbines drives designers towards
larger, lighter, more flexiblestructures in which more 'intelligent'control systems play an …