Surrogate Modeling of Aerodynamic Loads on the Dragonfly Lander in Flight

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Authors: Gino M. Perrotta, Matt Misiorowski
Cited by: 0
References: 11

Abstract

This paper describes the surrogate models of aerodynamic loads on the Dragonfly lander, a rotorcraft designed to fly on Saturn's moon, Titan. The extreme dissimilarity between Titan's environment and Earth's necessitates replacing some traditional design steps in ground and flight testing with simulation and analysis. The program's digital twin of the lander requires fast approximation of Computational Fluid Dynamics predictions of aerodynamic loads on the vehicle in flight, which is accomplished using Gaussian Process Regression.

Fields of Study & Subjects

Aerospace and Aviation Technology Model Reduction and Neural Networks Advanced Multi-Objective Optimization Algorithms

Publication details

Journal / source
AIAA SciTech Forum
Publication date
8 January 2026