Rotor blade with serrations
AssigneeSiemens Gamesa Renewable Energy A/S
InventorsMichael J. Asheim, Manjinder J. Singh
Life of this patent
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AssigneeSiemens Gamesa Renewable Energy A/S
InventorsMichael J. Asheim, Manjinder J. Singh
Estimating the term…
A method using machine learned, scenario based control heuristics including: providing a simulation model for predicting a system state vector of the dynamical system in time based on a current scenario parameter vector and a control vector; using a Model Predictive Control, MPC, algorithm to provide the control vector during a simulation of the dynamical system using the simulation model for different scenario parameter vectors and initial system state vectors; calculating a scenario parameter vector and initial system state vector a resulting optimal control value by the MPC algorithm; generating machine learned control heuristics approximating the relationship between the corresponding scenario parameter vector and the initial system state vector for the resulting optimal control value using a machine learning algorithm; and using the generated machine learned control heuristics to control the complex dynamical system modelled by the simulation model.
A noise reducing device for a rotor blade of a wind turbine, comprising:
A rotor blade for a wind turbine, comprising:
Dependencies are inferred from the claim text.