Version 1
: Received: 14 January 2024 / Approved: 15 January 2024 / Online: 15 January 2024 (06:18:43 CET)
How to cite:
Saghamanesh, M.; Hu, W.; Rastinasab, V. Low-Thrust Trajectory Optimization for Earth-Mars-Jupiter Gravity-Assist Spacecraft Mission. Preprints2024, 2024011077. https://doi.org/10.20944/preprints202401.1077.v1
Saghamanesh, M.; Hu, W.; Rastinasab, V. Low-Thrust Trajectory Optimization for Earth-Mars-Jupiter Gravity-Assist Spacecraft Mission. Preprints 2024, 2024011077. https://doi.org/10.20944/preprints202401.1077.v1
Saghamanesh, M.; Hu, W.; Rastinasab, V. Low-Thrust Trajectory Optimization for Earth-Mars-Jupiter Gravity-Assist Spacecraft Mission. Preprints2024, 2024011077. https://doi.org/10.20944/preprints202401.1077.v1
APA Style
Saghamanesh, M., Hu, W., & Rastinasab, V. (2024). Low-Thrust Trajectory Optimization for Earth-Mars-Jupiter Gravity-Assist Spacecraft Mission. Preprints. https://doi.org/10.20944/preprints202401.1077.v1
Chicago/Turabian Style
Saghamanesh, M., Weidong Hu and Vahid Rastinasab. 2024 "Low-Thrust Trajectory Optimization for Earth-Mars-Jupiter Gravity-Assist Spacecraft Mission" Preprints. https://doi.org/10.20944/preprints202401.1077.v1
Abstract
Recent advancements have revolutionized interplanetary spacecraft missions by combining low-thrust propulsion systems with planetary Gravity-Assist (GA) maneuvers. This study investigates/improved a novel dual-step efficient-robust homotopy algorithm, grounded in indirect optimal control principles, to analyze fuel-optimal bang-bang control problems. The methodology integrates efficient techniques, including the homotopic method, compatible normalization, and improved switching function detection, aimed at enhancing optimal convergence in solving low-thrust gravity-assist spacecraft missions. To illustrate practical application, an Earth-to-Jupiter interplanetary scenario utilizing Mars-GA is examined. Results demonstrate the algorithm's superior efficacy in achieving fuel efficiency, robust convergence, and remarkable accuracy compared to existing solutions.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
