People Education Research Industrial Agenda  
 
Current Research Archive Publications PhD theses Software      

 
Previous      Up      Next

Adaptive learning control for offshore windturbines

Project members:  J.W. van Wingerden, prof. M. Verhaegen, D.P. Molenaar
 
Keywords:  Adaptive and learning control, System identification and estimation, Nonlinear and LPV systems, Mechatronics, robotics and micro-systems
 
Sponsored by:  STW
 
The trend with offshore wind turbines is to increase the rotor diameter as much as possible. The reason is that the foundation costs of offshore wind turbines amount to a large part of the total costs. Therefore designers want to increase the energy yield (which increases quadratically with the rotor diameter) per wind turbine as much as possible to reduce the costs

The STW project "Smart dynamic rotor control of large offshore wind turbines" will contribute to the development of offshore wind energy by investigating the control of fatigue loads and active damping of structural vibrational modes. The proposed way to go is the use of smart dynamic rotor control: every rotor blade will be controlled separately and the properties of each blade will be altered by making use of distributed control over the blade length. This will be possible by making use of "Smart" actuators and sensors.

In this project an innovative approach of model based robust controller design will be developed based on the strong past performance of the members of the DCSC. The development of system identification tools for robust controller design will be extended towards Linear Parameter Varying (LPV) systems. Further, this fundamental experience will be combined with the application expertise the DCSC has acquired in vibration reduction using "Smart" materials.

Previous      Up      Next

Back to top

Last modified: 2 May 2011, 11:25 UTC
Search   Site map