Author: CislunarSpace

Website: https://cislunarspace.cn

DFH Satellite Co., Ltd.

China Satellite (中国卫星, SH600118) is a listed company controlled by the China Academy of Space Technology (CAST) under the China Aerospace Science and Technology Corporation (CASC). With registered capital of 1.182 billion yuan, it is a high-tech aerospace enterprise specializing in small and micro-satellite development, ground application system integration, terminal equipment manufacturing, and satellite operation services.

Leveraging its central SOE resources and aligning with national strategic industry development, the company has built end-to-end capabilities spanning integrated space-ground design, development, integration, and operations. It has developed multiple generations of small/micro-satellite platforms — CAST10, CAST20, CAST2000, CAST3000, and CAST4000 — at nationally leading and internationally advanced levels. These platforms serve ocean observation, environment and disaster monitoring, Earth remote sensing, 3D mapping, and scientific/technology demonstration missions, covering the 1 kg–1000 kg range. To date, more than 180 small and micro-satellites have been successfully launched. The company operates 12 wholly-owned or controlled subsidiaries with R&D and production bases in Beijing, Shenzhen, and Xi'an.

Zheng Qingbiao

Cislunar simulation system design

Intelligent simulation system architecture and implementation for cislunar space situational awareness mission design and analysis

Reference: Hu J, Zheng Q, Zhu Y, et al. Intelligent simulation system architecture and implementation for cislunar space situational awareness mission design and analysis[J]. Journal of Image and Graphics, 2025, 30(9): 2951-2965.

  • Abstract:
    • Purpose: Cislunar orbits are characterized by long periods, strong chaos, and high sensitivity to perturbations. Cislunar situational awareness missions exhibit significant dynamic variability and uncertainty, urgently requiring advanced virtual simulation, test-bedding, and AI techniques for scientific research and experimental verification.
    • Method: Focused on cislunar situational awareness mission design and analysis, and guided by service-oriented, standardized, domestic, and tool-based principles, this paper designs a three-layer intelligent simulation system architecture — "infrastructure support + service support + typical applications" — based on container cloud + microservices. Key technologies including a cislunar orbital dynamics model library, Kubernetes-based intelligent computing task scheduling, and a full-link microservice integration framework are analyzed.
    • Result: A cislunar situational awareness mission design and analysis simulation system was developed, covering scenario design, situational awareness system design and analysis, mission planning, system-of-systems simulation, experiment design, and experiment evaluation modules.
    • Conclusion: Application cases demonstrate that the simulation system can effectively support users in forward design and iterative optimization of cislunar missions. Under high-precision ephemeris models, 15-year resident orbit integration achieves minute-level computational performance, demonstrating efficiency, intelligence, stability, and good extensibility.

Wang Peng

Cislunar simulation system design

Intelligent simulation system architecture and implementation for cislunar space situational awareness mission design and analysis

Reference: Hu J, Zheng Q, Zhu Y, et al. Intelligent simulation system architecture and implementation for cislunar space situational awareness mission design and analysis[J]. Journal of Image and Graphics, 2025, 30(9): 2951-2965.

  • Abstract:
    • Purpose: Cislunar orbits are characterized by long periods, strong chaos, and high sensitivity to perturbations. Cislunar situational awareness missions exhibit significant dynamic variability and uncertainty, urgently requiring advanced virtual simulation, test-bedding, and AI techniques for scientific research and experimental verification.
    • Method: Focused on cislunar situational awareness mission design and analysis, and guided by service-oriented, standardized, domestic, and tool-based principles, this paper designs a three-layer intelligent simulation system architecture — "infrastructure support + service support + typical applications" — based on container cloud + microservices. Key technologies including a cislunar orbital dynamics model library, Kubernetes-based intelligent computing task scheduling, and a full-link microservice integration framework are analyzed.
    • Result: A cislunar situational awareness mission design and analysis simulation system was developed, covering scenario design, situational awareness system design and analysis, mission planning, system-of-systems simulation, experiment design, and experiment evaluation modules.
    • Conclusion: Application cases demonstrate that the simulation system can effectively support users in forward design and iterative optimization of cislunar missions. Under high-precision ephemeris models, 15-year resident orbit integration achieves minute-level computational performance, demonstrating efficiency, intelligence, stability, and good extensibility.

Cislunar orbital parameter characterization

Orbital parameter characterization and objects cataloging for Earth-Moon collinear libration points

Reference: Qiao C, Long X, Yang L, et al. Orbital parameter characterization and objects cataloging for Earth-moon collinear libration points[J]. Chinese Journal of Aeronautics, 2025: 103869-103896.

Abstract: Owing to the chaotic and non-integrable nature of three-body dynamics, the conventional Keplerian elements are rendered inadequate for cataloging cislunar space objects. Currently, there has been a conspicuous absence of universally recognized parameters for the characterization and cataloging of such objects, thereby posing an urgent challenge to cislunar space situational awareness. This paper proposes a novel approach to parameterize the orbits of Earth-Moon collinear libration points by leveraging the theoretical frameworks of canonical transformations. First, under the Hamiltonian-form dynamical equations of the libration point, symplectic transformations are employed to extract 3 modes of motion from locally linearized part. A subsequent canonical transformation then decouples the hyperbolic invariant manifold from the center manifold within the nonlinear remainder. Finally, 6 characteristic parameters obtained via action-angle variables are established in a bijective correspondence with the state variables, where two parameters characterize the motion of the invariant manifold and four parameters characterize the motion of the central manifold. Furthermore, a distribution map of the Earth-Moon libration point orbits is drawn utilizing Poincaré sections, which can be used to describe the distribution of libration point object. Simulation results demonstrate that the proposed parameters are not only applicable to orbit identification and object cataloging but also exhibit remarkable consistency and robustness against variations in observation arc length and observational errors.

Li Yongchang

Cislunar simulation system design

Intelligent simulation system architecture and implementation for cislunar space situational awareness mission design and analysis

Reference: Hu J, Zheng Q, Zhu Y, et al. Intelligent simulation system architecture and implementation for cislunar space situational awareness mission design and analysis[J]. Journal of Image and Graphics, 2025, 30(9): 2951-2965.

  • Abstract:
    • Purpose: Cislunar orbits are characterized by long periods, strong chaos, and high sensitivity to perturbations. Cislunar situational awareness missions exhibit significant dynamic variability and uncertainty, urgently requiring advanced virtual simulation, test-bedding, and AI techniques for scientific research and experimental verification.
    • Method: Focused on cislunar situational awareness mission design and analysis, and guided by service-oriented, standardized, domestic, and tool-based principles, this paper designs a three-layer intelligent simulation system architecture — "infrastructure support + service support + typical applications" — based on container cloud + microservices. Key technologies including a cislunar orbital dynamics model library, Kubernetes-based intelligent computing task scheduling, and a full-link microservice integration framework are analyzed.
    • Result: A cislunar situational awareness mission design and analysis simulation system was developed, covering scenario design, situational awareness system design and analysis, mission planning, system-of-systems simulation, experiment design, and experiment evaluation modules.
    • Conclusion: Application cases demonstrate that the simulation system can effectively support users in forward design and iterative optimization of cislunar missions. Under high-precision ephemeris models, 15-year resident orbit integration achieves minute-level computational performance, demonstrating efficiency, intelligence, stability, and good extensibility.