The design of the orbit departing from Earth and rendezvousing near the Moon based on intelligent decision

doi:10.23919/JSEE.2026.000165

Abstract

Abstract:

The flight plan of departing from the Earth and rendezvous near the Moon is a preferred strategy for future manned lunar exploration programs. However, significant decision-making challenges arise from diverse lunar insertion schemes during the Earth-Moon transfer process, where optimal energy consumption varies substantially across different orbital regimes. To address these challenges, an intelligent decision-making model employing deep convolutional neural networks (DCNNs) is proposed to select the optimal Earth-Moon transfer scheme, subsequently combine with the lunar rendezvous orbit to formulate an integrated mission profile. Results demonstrate that the intelligent decision-making approach achieves computational efficiency improvements of 3−4 orders of magnitude compared to conventional methods while maintaining comparable accuracy, confirming its practical viability for designing orbit of departing from the Earth and rendezvous near the Moon. This study offers valuable insights for future manned lunar missions and the application of intelligent methods in orbital design.

Key words: Earth-Moon transfer, lunar rendezvous, intelligent decision-making, deep convolutional neural network (DCNN)

Xiaotong Bu, Haiyang Li, Binyu Zhu, Luyi Yang. The design of the orbit departing from Earth and rendezvousing near the Moon based on intelligent decision[J]. Journal of Systems Engineering and Electronics, 2026, 37(5): 1737-1751.

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