Algorithmic Considerations for Effective Global Search of Robust Low-Thrust Trajectories
<|reference_start|>Algorithmic Considerations for Effective Global Search of Robust Low-Thrust Trajectories: The growing interest in the cislunar domain over the past decade has led to an increasing demand for low-thrust missions to key orbits within this region. These low-thrust missions, typically characterized by long thrust arcs, are highly susceptible to operational disruptions such as unforeseen thruster outages or missed thrust events. Consequently, there is a critical need for efficient trajectory design frameworks which incorporate robustness against such anomalies. In this study, we utilize a robust trajectory design framework to explore the solution space for the Power and Propulsion Element (PPE) module to the Earth-Moon L2 Southern 9:2 Near Rectilinear Halo Orbit. We propose algorithmic enhancements to improve the global search for robust solutions, and present a comprehensive analysis of two approaches: a nonconditional approach which involves a purely random search for robust solutions versus a conditional approach which involves warm-starting the search for robust solutions using the non-robust solutions. Our results indicate that by using non-robust solutions as initial guesses for the robust solutions, it is possible to achieve significant improvements in both the rate of convergence and the robustness of the final solutions.<|reference_end|>
@article{sinha2024algorithmic,
    title={Algorithmic Considerations for Effective Global Search of Robust
  Low-Thrust Trajectories},
    author={Amlan Sinha and Ryne Beeson},
    journal={arXiv preprint arXiv:2410.00297},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.00297},
    primaryClass={math.NA cs.NA}
}