Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866916110360641536 |
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| author | Gunsaulus, Caleb De Vries, Carl Brown, William Lee, Youngro Vijayakumar, Madhusudan Abdelkhalik, Ossama |
| author_facet | Gunsaulus, Caleb De Vries, Carl Brown, William Lee, Youngro Vijayakumar, Madhusudan Abdelkhalik, Ossama |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_16963 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design Gunsaulus, Caleb De Vries, Carl Brown, William Lee, Youngro Vijayakumar, Madhusudan Abdelkhalik, Ossama Optimization and Control Systems and Control Space Physics 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. |
| title | Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design |
| topic | Optimization and Control Systems and Control Space Physics |
| url | https://arxiv.org/abs/2401.16963 |