In this work, the basic model for a spar buoy floating wind turbine , used by an extended Kalman filter, is presented and results concerning wind speed and wave force estimations are shown. The wind speed and aerodynamic forces are estimated using an extended Kalman filter based on a first-principles derived state space model of the floating wind turbine. The ability to estimate aero- and hydrodynamic states could prove crucial for the performance of model-based control methods applied on floating wind turbines. Furthermore, two types of water kinematics have been compared two determine whether or not linear and nonlinear water kinematics lead to significantly different loads.
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European Wind Energy Conference & Exhibition 2013