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arXiv · 2401.16963

Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design

Caleb Gunsaulus·Carl De Vries·William Brown·Youngro Lee·Madhusudan Vijayakumar·Ossama Abdelkhalik
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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.

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Caleb Gunsaulus, Carl De Vries, William Brown, Youngro Lee, Madhusudan Vijayakumar, Ossama Abdelkhalik. 2024-01-30. Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design. https://arxiv.org/abs/2401.16963

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