• Corpus ID: 244478442

Data-driven unsteady aeroelastic modeling for control

@inproceedings{Hickner2021DatadrivenUA,
  title={Data-driven unsteady aeroelastic modeling for control},
  author={Michelle Hickner and Urban Fasel and Aditya G. Nair and Bingni W. Brunton and Steven L. Brunton},
  year={2021}
}
Aeroelastic structures, from insect wings to wind turbine blades, experience transient unsteady aerodynamic loads that are coupled to their motion. Effective real-time control of flexible structures relies on accurate and efficient predictions of both the unsteady aeroelastic forces and airfoil deformation. For rigid wings, classical unsteady aerodynamic models have recently been reformulated in state-space for control and extended to include viscous effects. Here we further extend this modeling… 

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