Distributed safe trajectory optimization for large-scale spacecraft formation reconfiguration

This paper presents a distributed trajectory optimization algorithm for the reconfiguration of large-scale spacecraft formation, which uses a low thrust propulsion system to safely guide the spacecraft formation to a desired formation. Formation reconfiguration is formulated as a trajectory optimiza...

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Vydáno v:Acta astronautica Ročník 214; s. 125 - 136
Hlavní autoři: Chen, Junyu, Wu, Baolin, Sun, Zhaobo, Wang, Danwei
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.01.2024
Témata:
Autonomous reconfiguration
Collision avoidance
Distributed optimization algorithm
Large-scale spacecraft formation
Trajectory optimization
Large-scale spacecraft formation
Distributed optimization algorithm
Autonomous reconfiguration
Collision avoidance
Trajectory optimization
ISSN:0094-5765
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Shrnutí:This paper presents a distributed trajectory optimization algorithm for the reconfiguration of large-scale spacecraft formation, which uses a low thrust propulsion system to safely guide the spacecraft formation to a desired formation. Formation reconfiguration is formulated as a trajectory optimization problem with complex constraints, and the relative motion is accurately described by a nonlinear relative dynamics considering J2 perturbation. The collision avoidance constraint is convexified into a tangent plane to ensure the accuracy of the solution. The resulting nonlinear trajectory optimization problem is solved by applying the hp-adaptive pseudospectral method to convert it into a nonlinear programming problem. In order to overcome the disadvantage of huge computation of centralized algorithm considering collision avoidance, “predicted trajectory” is introduced to transmit information between spacecraft, and the parallel computing is implemented. Finally, a numerical simulation is given to verify the computational efficiency and collision avoidance effectiveness of the proposed distributed algorithm. •Distributed trajectory optimization algorithm for massive formation reconfiguration.•The J2 nonlinear relative dynamics is used to obtain accurate optimal trajectory.•Parallel computation is achieved by information interaction of neighbors.•Neighbor updating is proposed to reduce communication traffic.•Significantly decrease computation and achieve collision avoidance.
ISSN:0094-5765
DOI:10.1016/j.actaastro.2023.10.012