Towards a High Fidelity Direct Transcription Method for Optimisation of Low-Thrust Trajectories
Chit Hong Yam, Dario Izzo, Francesco Biscani

TL;DR
This paper introduces an improved direct transcription algorithm for low-thrust trajectory optimization, enhancing accuracy and adaptability by accounting for real spacecraft dynamics and adjusting segment durations online.
Contribution
It presents a novel algorithm that improves the Sims-Flanagan transcription method for low-thrust trajectories by incorporating real dynamics and adaptive segment durations.
Findings
Enhanced trajectory accuracy with real spacecraft dynamics
Adaptive segment duration improves trajectory optimality
Algorithm suitable for operational low-thrust trajectory planning
Abstract
We build upon some new ideas in direct transcription methods developed within the Advanced Concepts Team to introduce two improvements to the Sims-Flanagan transcription for low-thrust trajectories. The obtained new algorithm is able to produce an operational trajectory accounting for the real spacecraft dynamics and adapting the segment duration on-line improving the final trajectory optimality.
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Taxonomy
TopicsSpacecraft Dynamics and Control · Astro and Planetary Science · Space Satellite Systems and Control
