HPROM-Based Integrated Flight and Aeroelastic Control Technology (IFACT) for Carrier Landing
Abstract
The purpose of this action is to add FY22 funds in the amount of $474,286.00 for a new start Grant, GRANT#13809834.-Abstract (Approved for Public Release)We propose a three-year research effort on nonlinear, projection-based model order reduction and model predictive control, for flight dynamics and autonomous carrier landing. For nonlinear model reduction, we will focus on tightly-coupled fluid-structure-control systems such aeroservoelastic aircraft, with particular attention to: accounting for the nonlinear coupling between the rigid body and deformation modes of a flexible aircraft in the structural PMOR method based on modal analysis; overcoming the reducibility barrier raised by the Kolmogorov n-width issue for convection-dominated turbulent flows; hyperreduction; training structural and aerodynamic reduced-order models for control applications; and coupling such low-dimensional models with counter parts of the air wake created by an aircraft carrier flight deck and superstructure. For nonlinear model predictive control, we will emphasize the proper formulation of the guidance and optimal control problem for flexible aircraft; accounting for hyper reduction errors in the control framework; performing real-time optimization; achieving robustness with respect to uncertainties; and deriving correctness guarantees. We also propose to partner with Lockheed Martin Aeronautics to develop a rationale for combining the aforementioned computational frameworks with elements of their integrated flight and aeroelastic controls technologies; develop paths for integrating these frameworks in their Distro A Sim platform as well as ONR#s highly interchangeable carrier landing analysis and simulation software for control systems; and exploit all aforementioned computational technologies to develop an analysis process for assessing landing energy dissipation due to wing flexibility, through applications to a flexible aircraft configuration.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 15, 2023
- Source ID
- N000142312413
Entities
People
- Charbel Farhat
Organizations
- Office of Naval Research
- Stanford University
- United States Navy