Multisatellite Flyby Inspection Trajectory Optimization Based on Constraint Repairing
With the rapid development of on-orbit services and space situational awareness, there is an urgent demand for multisatellite flyby inspection (MSFI) that can obtain information about a large number of space targets with little fuel consumption in a short time. There are two kinds of constraints, na...
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doaj-f8b0b47f67f2420c9aca802beef12b3e2021-09-25T23:33:23ZengMDPI AGAerospace2226-43102021-09-01827427410.3390/aerospace8090274Multisatellite Flyby Inspection Trajectory Optimization Based on Constraint RepairingChenyuan Peng0Jin Zhang1Bing Yan2Yazhong Luo3College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, ChinaWith the rapid development of on-orbit services and space situational awareness, there is an urgent demand for multisatellite flyby inspection (MSFI) that can obtain information about a large number of space targets with little fuel consumption in a short time. There are two kinds of constraints, namely inspection constraints (ICs) at each flyby point and transfer process constraints (TPCs) in the actual mission. Further considering the influence of discrete and continuous variables such as inspection sequence, time, and maneuver scheme, it is complex and difficult to solve MSFI. To optimize it efficiently, the task flow and the problem model are defined firstly. Then, the algorithm framework based on constraint repairing is given, which contains repair methods of the ICs and the TPCs. Finally, the proposed method is compared with the nonrepair optimization method in two numerical examples. The results indicate that when the constraints are hard to meet, it is better and more efficient than the nonrepair method.https://www.mdpi.com/2226-4310/8/9/274multisatellite flyby inspectionconstraint repairingtrajectory optimizationon-orbit servicesspace situational awareness |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chenyuan Peng Jin Zhang Bing Yan Yazhong Luo |
spellingShingle |
Chenyuan Peng Jin Zhang Bing Yan Yazhong Luo Multisatellite Flyby Inspection Trajectory Optimization Based on Constraint Repairing Aerospace multisatellite flyby inspection constraint repairing trajectory optimization on-orbit services space situational awareness |
author_facet |
Chenyuan Peng Jin Zhang Bing Yan Yazhong Luo |
author_sort |
Chenyuan Peng |
title |
Multisatellite Flyby Inspection Trajectory Optimization Based on Constraint Repairing |
title_short |
Multisatellite Flyby Inspection Trajectory Optimization Based on Constraint Repairing |
title_full |
Multisatellite Flyby Inspection Trajectory Optimization Based on Constraint Repairing |
title_fullStr |
Multisatellite Flyby Inspection Trajectory Optimization Based on Constraint Repairing |
title_full_unstemmed |
Multisatellite Flyby Inspection Trajectory Optimization Based on Constraint Repairing |
title_sort |
multisatellite flyby inspection trajectory optimization based on constraint repairing |
publisher |
MDPI AG |
series |
Aerospace |
issn |
2226-4310 |
publishDate |
2021-09-01 |
description |
With the rapid development of on-orbit services and space situational awareness, there is an urgent demand for multisatellite flyby inspection (MSFI) that can obtain information about a large number of space targets with little fuel consumption in a short time. There are two kinds of constraints, namely inspection constraints (ICs) at each flyby point and transfer process constraints (TPCs) in the actual mission. Further considering the influence of discrete and continuous variables such as inspection sequence, time, and maneuver scheme, it is complex and difficult to solve MSFI. To optimize it efficiently, the task flow and the problem model are defined firstly. Then, the algorithm framework based on constraint repairing is given, which contains repair methods of the ICs and the TPCs. Finally, the proposed method is compared with the nonrepair optimization method in two numerical examples. The results indicate that when the constraints are hard to meet, it is better and more efficient than the nonrepair method. |
topic |
multisatellite flyby inspection constraint repairing trajectory optimization on-orbit services space situational awareness |
url |
https://www.mdpi.com/2226-4310/8/9/274 |
work_keys_str_mv |
AT chenyuanpeng multisatelliteflybyinspectiontrajectoryoptimizationbasedonconstraintrepairing AT jinzhang multisatelliteflybyinspectiontrajectoryoptimizationbasedonconstraintrepairing AT bingyan multisatelliteflybyinspectiontrajectoryoptimizationbasedonconstraintrepairing AT yazhongluo multisatelliteflybyinspectiontrajectoryoptimizationbasedonconstraintrepairing |
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1717368679331528704 |