Adam Jirasek

TL;DR: In this article, the authors present a review of reduced-order aerodynamic models for aircraft stability and control analysis, including linear and nonlinear indicial response methods, Volterra theory, radial basis functions, and a surrogate-based recurrence framework.

TL;DR: The results show that the ROMs can accurately model the unsteady loads in response to slow and fast pitch and plunge motions by comparison of the model output with time-accurate CFD simulations.

TL;DR: In the CAWAPI project, nine groups participated in the Cranked Arrow Wing Aerodynamics Project International (CAWAPI) project have contributed steady and unsteady viscous simulations of a full-scale, semi-span model of the F-16XL aircraft as discussed by the authors.

TL;DR: In this paper, an approach for modeling aircraft stability and control characteristics is presented, where CFD simulations are performed using computational training maneuvers designed to excite the relevant flow physics encountered during actual missions, and a mathematical Reduced Order Model (ROM) is built of the aircraft response using system identification methods.

TL;DR: In this article, a framework for approximating nonlinear unsteady aerodynamics with a Radial Basis Function neural network is provided, where training data were generated from a hierarchy of aerodynamic models.