A hierarchical optimization approach for spacecraft swarm trajectories considering dynamic communication topologies

•A hierarchical framework for topology optimization-based trajectory planning is developed.•Swarm communication network generation and optimization are achieved.•A complete trajectory is obtained based on convex optimization bottom-level planning. This paper investigates the spacecraft swarm traject...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Aerospace science and technology Ročník 168; s. 111250
Hlavní autoři:	Liu, Chuang, Luo, Yijie, Yue, Xiaokui, Capello, Elisa
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Masson SAS 01.01.2026
Témata:	Communication capacity priority criteria Communication topology optimization Crayfish-convex optimization algorithm Trajectory planning Communication capacity priority criteria Trajectory planning Communication topology optimization Crayfish-convex optimization algorithm
ISSN:	1270-9638
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	•A hierarchical framework for topology optimization-based trajectory planning is developed.•Swarm communication network generation and optimization are achieved.•A complete trajectory is obtained based on convex optimization bottom-level planning. This paper investigates the spacecraft swarm trajectory planning problem in the context of on-orbit assembly missions. Considering the limited communication equipment capacity, communication delay, limited control input, and inter-member interference in a spacecraft swarm, a hierarchical autonomous trajectory planning approach based on dynamic communication topology is developed. To address the problems of communication latency and communication resource waste within swarm in practical engineering applications, an improved Prim algorithm based on communication capacity priority criteria is developed to achieve a more reasonable swarm communication topology that satisfies multiple constraints. Furthermore, a hierarchical framework trajectory planning approach based on the crayfish-convex optimization algorithm (CCOA) is developed to achieve communication maintenance and safe collision avoidance among swarm members. This approach combines the solving speed of COA with the global optimization capability of convex optimization, achieving complementary advantages. Finally, numerical simulations are performed to verify the effectiveness and feasibility of the designed approach in communication topology optimization and trajectory planning.
ISSN:	1270-9638
DOI:	10.1016/j.ast.2025.111250