Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design
Abstract
The Finite Fourier Series (FFS) Shape-Based (SB) trajectory approximation method has been used to rapidly generate initial trajectories that satisfy the dynamics, trajectory boundary conditions, and limitation on maximum thrust acceleration. The FFS SB approach solves a nonlinear programming problem (NLP) in searching for feasible trajectories. This paper extends the development of the FFS SB approach to generate sub optimal solutions. Specifically, the objective function of the NLP problem is modified to include also a measure for the time of flight. Numerical results presented in this paper show several solutions that differ from those of the original FFS SB ones. The sub-optimal trajectories generated using a time of flight minimization are shown to be physically feasible trajectories and potential candidates for direct solvers.
Cite
@article{arxiv.2401.16963,
title = {Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design},
author = {Caleb Gunsaulus and Carl De Vries and William Brown and Youngro Lee and Madhusudan Vijayakumar and Ossama Abdelkhalik},
journal= {arXiv preprint arXiv:2401.16963},
year = {2024}
}
Comments
2021 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, Virtual, August 9-11, 2021