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Lift is a fundamental aerodynamic force that acts perpendicular to the direction of airflow. It plays a central role in achieving and sustaining flight and in stabilizing various vehicles. Lift primarily originates from pressure differences created across surfaces, such as an airfoil. A lower pressure region forms above the wing, while a higher pressure region forms below it, generating an upward force. This differential results from the shape and orientation of the airfoil, enabling the wing...
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This study introduces advanced data-driven methods to create accurate aeroelastic models for flexible aircraft. These models capture complex nonlinear dynamics across various conditions, improving control and enabling next-generation aerospace designs.

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Area of Science:

  • Aerospace Engineering
  • Computational Fluid Dynamics
  • Control Systems

Background:

  • Highly flexible aerospace structures require accurate aeroelastic models for optimization and control.
  • Next-generation systems exhibit nonlinear, coupled aerodynamic and structural dynamics.

Purpose of the Study:

  • Develop accurate, tractable, data-driven reduced-order aeroelastic models.
  • Enable modeling of nonlinear dynamics across wide operating conditions for control applications.

Main Methods:

  • Extended dynamic mode decomposition with control (DMDc) to handle algebraic equations.
  • Developed an interpolation scheme to connect linear DMDc models from different regimes.
  • Applied to a 3D numerical model of an airborne wind energy system.

Main Results:

  • Accurate real-time prediction of nonlinear unsteady aeroelastic responses.
  • Demonstrated enhanced model performance for model predictive control.
  • Successfully modeled nonlinearities over multiple operating regimes.

Conclusions:

  • The proposed framework enables accurate modeling of complex aeroelastic systems.
  • Facilitates real-time prediction and control of flexible aerospace structures.
  • Supports the adoption of advanced morphing wing technologies.