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@misc{cassini,
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month = {02},
pages = {},
title = {AAS 12-128 CONCEPTUAL DESIGN AND ANALYSIS OF PLANETARY DEFENSE TECHNOLOGY (PDT) DEMONSTRATION MISSIONS}
}

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  publisher={American Institute of Aeronautics and Astronautics}
}

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}

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@inproceedings{Casalino2007IndirectOM,
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  publisher={Springer}
}

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}

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@article{morante,
author = {Morante, David and Sanjurjo Rivo, Manuel and Soler, Manuel},
title = {Multi-Objective Low-Thrust Interplanetary Trajectory Optimization Based on Generalized Logarithmic Spirals},
journal = {Journal of Guidance, Control, and Dynamics},
volume = {42},
number = {3},
pages = {476-490},
year = {2019},
doi = {10.2514/1.G003702},
URL = {https://doi.org/10.2514/1.G003702},
eprint = {https://doi.org/10.2514/1.G003702},
abstract = { The multi-objective optimal design of low-thrust multigravity-assist trajectories is formulated within the hybrid optimal control framework. A new automated solution strategy for this problem is proposed in this Paper based on a two-step algorithm. In the first step, the trajectory is assumed to be a generalized logarithmic spiral. A heuristic global search algorithm combined with nonlinear programming are in charge of optimizing the set of parameters defining the spirals as well as the number, sequence, and configuration of the gravity assists. In the second step, candidate solutions are regarded as initial guesses for a direct collocation method, in which the problem is transcribed into a nonlinear programming problem by discretization, considering the full dynamics and the complete set of constraints. The presented approach is tested on a rendezvous mission to the asteroid Ceres, allowing a Mars flyby, and on a flyby mission to Jupiter, allowing multiple flybys on different bodies. Pareto-optimal solutions in terms of time of flight and propellant mass consumed are obtained for both cases. Results outperform those found in the literature in terms of optimality while showing the effectiveness of the proposed methodology to generate quick performance estimates for preliminary studies and accurate solutions for the detailed design. }
}

@inbook{sims2006,
author = {Jon Sims and Paul Finlayson and Edward Rinderle and Matthew Vavrina and Theresa Kowalkowski},
title = {Implementation of a Low-Thrust Trajectory Optimization Algorithm for Preliminary Design},
booktitle = {AIAA/AAS Astrodynamics Specialist Conference and Exhibit},
chapter = {},
pages = {},
doi = {10.2514/6.2006-6746},
URL = {https://arc.aiaa.org/doi/abs/10.2514/6.2006-6746},
eprint = {https://arc.aiaa.org/doi/pdf/10.2514/6.2006-6746}
}

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}