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Article type: Research Article
Authors: Li, Li* | Du, Lei | Hu, Yixuan
Affiliations: College of Mathematics and Computer Science, Yan’an University, Yan’an, Shaanxi, China
Correspondence: [*] Corresponding author: Li Li, College of Mathematics and Computer Science, Yan’an University, Yan’an, Shaanxi, China. E-mail: [email protected].
Abstract: Spacecraft cluster is a new way of multi-vehicle cooperation and a major problem in the current space distribution system. A large number of core technologies of spacecraft cluster technology need to be simulated, analyzed and verified on the ground. On this basis, this article proposes the construction of a spacecraft system model and a dynamic model, and designs a path planning method that combines the spacecraft system model with the a* algorithm. And use the Morphin search tree algorithm to improve the A-star algorithm, and then simulate and analyze the spacecraft formation control scheme. The simulation results of trajectory planning show that after running the model for 21 ms, the improved A* algorithm achieved the expected error. Its MAE value is 10 - 4, achieving good path planning effect. The research plan can effectively achieve control of spacecraft formation and meet the needs of collaborative tasks and navigation route planning.
Keywords: Improved A* algorithm, path planning, spacecraft formation flight, attitude control, morphin search tree algorithm
DOI: 10.3233/JCM-247333
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 1237-1251, 2024
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