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Publishing Language: Chinese

Sequence search and optimization for transfer trajectory status in Callisto exploration mission

Quan JING1,2Mingtao LI1,2( )Youliang WANG1
National Space Science Center,Chinese Academy of Science,Beijing 100190,China
University of Chinese Academy of Sciences,Beijing 100049,China
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Abstract

A graphical analysis-based search algorithm for the transfer orbit state sequence is presented to address the problem of high manual involvement when designing the transfer orbit for the Callisto orbiting mission using graphical analysis approaches. Through the analysis of graphical properties and resonance gravity assists, the variation pattern of orbit states is summarized, and an iterative search algorithm for solving the state transition sequence is proposed. The algorithm can obtain multiple transfer sequences rapidly and efficiently, as demonstrated by the simulation of the transfer orbit for the Callisto orbiting mission. The solution of the corresponding transfer orbits for the obtained sequences shows that the spacecraft can achieve the transfer from a Jovian highly elliptical orbit to the Callisto orbiting orbit within 2.13 years by consuming a velocity increment of 2.108 km/s, saving approximately 100-200 m/s of velocity increment and about 1 year of transfer time compared to other methods. The method proposed in this paper solves the problem of high manual involvement when using graphical analysis methods.

CLC number: V249.122+.5 Document code: A Article ID: 1001-5965(2026)05-1596-09

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Journal of Beijing University of Aeronautics and Astronautics
Pages 1596-1604

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Cite this article:
JING Q, LI M, WANG Y. Sequence search and optimization for transfer trajectory status in Callisto exploration mission. Journal of Beijing University of Aeronautics and Astronautics, 2026, 52(5): 1596-1604. https://doi.org/10.13700/j.bh.1001-5965.2024.0158

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Received: 20 March 2024
Published: 13 May 2024
© Journal of Beijing University of Aeronautics and Astronautics