Phantom Pathways
A fuel optimal low-thrust transfer from a geostationary transfer orbit to a Earth-Moon L1 halo orbit
A fuel optimal low-thrust transfer from a geostationary transfer orbit to a Earth-Moon L1 halo orbit
A fuel optimal low-thrust transfer from a geostationary transfer orbit to a Earth-Moon L2 Southern Near Rectilinear Halo Orbit
A Poincaré Surface of Section showing the invariant manifolds corresponding to a resonant orbit in the Jupiter-Europa system
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Published in Journal of Guidance, Control, and Dynamics, 2025
Through comprehensive statistical analysis of low-thrust solutions in multibody environments, we demonstrate that optimal solutions — both robust and non-robust — exhibit strong correlation with invariant manifolds in three-body systems, establishing a fundamental connection between dynamical structures and solution robustness against operational uncertainties.
Recommended citation: Amlan Sinha and Ryne Beeson, "Statistical Analysis of the Role of Invariant Manifolds on Robust Trajectories", Journal of Guidance, Control, and Dynamics, Vol. 48, No. 8 (2025), pp. 1818-1839, doi: doi/abs/10.2514/1.G008818.
Published in Journal of Guidance, Control, and Dynamics, 2025
We propose a novel initial guess generation strategy for missed thrust design which leverages solutions from problems with lower problem complexity, demonstrating superior convergence properties relative to conventional global search methods in high-dimensional nonlinear programs.
Recommended citation: Sinha, Amlan, and Beeson, Ryne. "Initial Guess Generation for Low-Thrust Trajectory Design with Robustness to Missed-Thrust-Events", Journal of Guidance, Control, and Dynamics, Vol. 48, No. 12 (2025), pp. 2831-2848, doi: doi/abs/10.2514/1.G009050.
Published in Proquest, 2026
Low-thrust spacecraft propulsion systems enable highly efficient transfers, but their low control authority and long maneuver durations make them vulnerable to maneuver execution errors, particularly missed thrust events. This dissertation develops theoretical and computational tools for robust low-thrust trajectory design under missed thrust events, with emphasis on preliminary mission design, where computational efficiency and solution robustness must be addressed simultaneously.
Recommended citation: Sinha, Amlan. "Towards Robust Low-Thrust Trajectory Design Under Missed Thrust Events." Order No. 32677701, Princeton University, United States -- New Jersey, 2026.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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