Large Language Model-assisted Control Framework for Mixed Remote Sensing Satellite Constellations

Authors

• Guohua Wu, School of Automation, Central South University, Changsha 410083, China
• Ziyan You, School of Traffic & Transportation Engineering, Central South University, Changsha 410083, China
• Lei Li, School of Automation, Central South University, Changsha 410083, China
• Yi Gu, School of Traffic & Transportation Engineering, Central South University, Changsha 410083, China
• Shuanglin Li, School of Traffic & Transportation Engineering, Central South University, Changsha 410083, China

Abstract

Abstract: A LLM-assisted control framework for mixed remote sensing satellite constellations is proposed to address the problem that the control and scheduling of mixed remote sensing satellite constellations cannot process users' raw natural language observation requirements and realize full-process automation from requirement input to scheduling schemes. LLMs are utilized to enhance the construction of domain knowledge graphs, requirement understanding and task characterization, and realize intelligent generation of scheduling schemes and optimal solution of scheduling models. A scheduling scheme generation method based on the "planning and execution" dual-Agent architecture is designed. Combined with the constellation scheduling toolset, the capability boundary of LLMs is effectively extended. Simulation experiments verify the application feasibility of this framework in the control of mixed remote sensing satellite constellations, which exhibits a high level of automation and intelligence. The key technologies of LLMs in satellite constellation control are systematically sorted out, and their application potential in aspects such as requirement understanding and scheme generation is discussed to provide reference for future research. (2026ZZTS0040)

Recommended Citation

Wu, Guohua; You, Ziyan; Li, Lei; Gu, Yi; and Li, Shuanglin (2026) "Large Language Model-assisted Control Framework for Mixed Remote Sensing Satellite Constellations," Journal of System Simulation: Vol. 38: Iss. 10, Article 20.
DOI: 10.16182/j.issn1004731x.joss.26-0038
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss10/20

First Page

3098

Last Page

3112

CLC

TP391.9

Recommended Citation

Wu Guohua, You Ziyan, Li Lei, et al. Large Language Model-assisted Control Framework for Mixed Remote Sensing Satellite Constellations[J]. Journal of System Simulation, 2026, 38(10): 3098-3112.

Corresponding Author

Gu Yi

DOI

10.16182/j.issn1004731x.joss.26-0038