Trajectory Optimization Approach for Adaptive Multiple-Pass Aeroassisted Orbital Maneuver

Aeroassisted orbital maneuver changes the energy and orbit of a vehicle by traversing the planetary atmosphere. It is an essential method for achieving low-energy orbit transfer, and multipass aeroassisted orbital maneuver has been the most common type of practical application due to lower vehicle p...

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Main Authors: Rui Teng, Hongwei Han, Jilin Chen, Bo Pang
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2025-01-01
Series:Space: Science & Technology
Online Access:https://spj.science.org/doi/10.34133/space.0240
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author Rui Teng
Hongwei Han
Jilin Chen
Bo Pang
author_facet Rui Teng
Hongwei Han
Jilin Chen
Bo Pang
author_sort Rui Teng
collection DOAJ
description Aeroassisted orbital maneuver changes the energy and orbit of a vehicle by traversing the planetary atmosphere. It is an essential method for achieving low-energy orbit transfer, and multipass aeroassisted orbital maneuver has been the most common type of practical application due to lower vehicle protection needs and safer atmospheric flight. The deorbit continuous thrust maneuver, multipass atmospheric flight, and insertion thrust maneuver are all simultaneously taken into account by the segmented hierarchical trajectory optimization method presented in this study. A unified optimization model for the deorbit and insertion maneuver optimization problems is constructed, and sequential convex optimization is used to solve them. In order to implement the autonomous design of the multipass atmospheric flight trajectory, the number of atmospheric flight passes and the path constraint boundaries are created into a nonlinear mapping relationship. To enable consistent modeling and effective optimization of the multipass aeroassisted orbital maneuver trajectories, a 2-level segmented step-by-step optimization framework is established. Additionally, the algorithm ensures the generality of any number of passes and constraint settings, which provides the algorithm’s robustness and migrability. As a result, it can be applied as a decision-making open loop of multipass aeroassisted orbital maneuver guidance.
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institution Kabale University
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publisher American Association for the Advancement of Science (AAAS)
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spelling doaj-art-d8e58f937f1149de99176fb035a03e422025-08-20T03:41:35ZengAmerican Association for the Advancement of Science (AAAS)Space: Science & Technology2692-76592025-01-01510.34133/space.0240Trajectory Optimization Approach for Adaptive Multiple-Pass Aeroassisted Orbital ManeuverRui Teng0Hongwei Han1Jilin Chen2Bo Pang3School of Aerospace Engineering, Beijing Institute of Technology, 100081 Beijing, China.School of Aerospace Engineering, Beijing Institute of Technology, 100081 Beijing, China.School of Aerospace Engineering, Beijing Institute of Technology, 100081 Beijing, China.School of Aerospace Engineering, Beijing Institute of Technology, 100081 Beijing, China.Aeroassisted orbital maneuver changes the energy and orbit of a vehicle by traversing the planetary atmosphere. It is an essential method for achieving low-energy orbit transfer, and multipass aeroassisted orbital maneuver has been the most common type of practical application due to lower vehicle protection needs and safer atmospheric flight. The deorbit continuous thrust maneuver, multipass atmospheric flight, and insertion thrust maneuver are all simultaneously taken into account by the segmented hierarchical trajectory optimization method presented in this study. A unified optimization model for the deorbit and insertion maneuver optimization problems is constructed, and sequential convex optimization is used to solve them. In order to implement the autonomous design of the multipass atmospheric flight trajectory, the number of atmospheric flight passes and the path constraint boundaries are created into a nonlinear mapping relationship. To enable consistent modeling and effective optimization of the multipass aeroassisted orbital maneuver trajectories, a 2-level segmented step-by-step optimization framework is established. Additionally, the algorithm ensures the generality of any number of passes and constraint settings, which provides the algorithm’s robustness and migrability. As a result, it can be applied as a decision-making open loop of multipass aeroassisted orbital maneuver guidance.https://spj.science.org/doi/10.34133/space.0240
spellingShingle Rui Teng
Hongwei Han
Jilin Chen
Bo Pang
Trajectory Optimization Approach for Adaptive Multiple-Pass Aeroassisted Orbital Maneuver
Space: Science & Technology
title Trajectory Optimization Approach for Adaptive Multiple-Pass Aeroassisted Orbital Maneuver
title_full Trajectory Optimization Approach for Adaptive Multiple-Pass Aeroassisted Orbital Maneuver
title_fullStr Trajectory Optimization Approach for Adaptive Multiple-Pass Aeroassisted Orbital Maneuver
title_full_unstemmed Trajectory Optimization Approach for Adaptive Multiple-Pass Aeroassisted Orbital Maneuver
title_short Trajectory Optimization Approach for Adaptive Multiple-Pass Aeroassisted Orbital Maneuver
title_sort trajectory optimization approach for adaptive multiple pass aeroassisted orbital maneuver
url https://spj.science.org/doi/10.34133/space.0240
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AT hongweihan trajectoryoptimizationapproachforadaptivemultiplepassaeroassistedorbitalmaneuver
AT jilinchen trajectoryoptimizationapproachforadaptivemultiplepassaeroassistedorbitalmaneuver
AT bopang trajectoryoptimizationapproachforadaptivemultiplepassaeroassistedorbitalmaneuver