On-orbit Self-adaptive and Trustworthy Evolution Framework for Spacecraft Control Software
Author:
Affiliation:

Clc Number:

TP311

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The intelligent autonomy and stable on-orbit operation capabilities of spacecraft are crucial to enhancing the success rate of space missions. Software self-adaptive evolution technology is an essential approach to achieving this goal and has become a research hotspot in the field of software engineering. This study first provides an overview of the research status and existing issues in the self-adaptive evolution of spacecraft control software. Then, in response to the openness of the spacecraft on-orbit operating environment, the limited computing resources of the host, and the high real-time response requirements of flight missions, an on-orbit self-adaptive and trustworthy evolution framework for spacecraft control software, termed MAPE-KV (monitor-analyze-plan-execute over knowledge and verification), is proposed. In addition, under the guidance of this framework, the application logic, self-adaptive control logic, trustworthiness assurance logic, and supporting knowledge base for spacecraft software are designed. Finally, the effectiveness of the proposed framework is validated through two typical scenarios: unexpected failures and service changes. Simulation results demonstrate that the proposed method can effectively address the challenges posed by unexpected events during the operation of spaceborne software.

    Reference
    Related
    Cited by
Get Citation

李晓锋,罗懿行,王路桥,董晓刚,李建文,顾斌,董云卫,杨孟飞.空间飞行器控制软件在轨自适应可信演化框架.软件学报,2026,37(3):1264-1289

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 26,2024
  • Revised:May 06,2025
  • Adopted:
  • Online: December 24,2025
  • Published: March 06,2026
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063