Abstract
Offshore wind energy capitalizes on the higher
and less turbulent wind speeds at sea. The use of floating
structures for deeper waters is being explored. The control
objective is a tradeoff between power capture and fatigue, especially
that produced by the oscillations caused by the reduced
structural stiffness of a floating installation in combination
with a coupling between the fore–aft motion of the tower and
the blade pitch. To address this problem, the present paper
models a ballast-stabilized floating wind turbine, and suggests
a linear quadratic regulator (LQR) in combination with a wind
estimator and a state observer. The results are simulated using
aero elastic code and analysed in terms of damage equivalent
loads. When compared to a baseline controller, this controller
clearly demonstrates better generator speed and power tracking
while reducing fatigue loads.
and less turbulent wind speeds at sea. The use of floating
structures for deeper waters is being explored. The control
objective is a tradeoff between power capture and fatigue, especially
that produced by the oscillations caused by the reduced
structural stiffness of a floating installation in combination
with a coupling between the fore–aft motion of the tower and
the blade pitch. To address this problem, the present paper
models a ballast-stabilized floating wind turbine, and suggests
a linear quadratic regulator (LQR) in combination with a wind
estimator and a state observer. The results are simulated using
aero elastic code and analysed in terms of damage equivalent
loads. When compared to a baseline controller, this controller
clearly demonstrates better generator speed and power tracking
while reducing fatigue loads.
| Original language | English |
|---|---|
| Journal | IEEE Conference on Computer-Aided Control Systems Design |
| ISSN | 4244-2221 |
| DOIs | |
| Publication status | Published - 2011 |