Abstract—In the past, the way to manage and control satellite operations was mainly accomplished by planning the mission plan in advance through the ground. However, the current satellite missions are becoming more and more complex, and it is necessary to face sudden emergency situations and changes in the operating environment. The management model presents many challenges. This paper takes the single-satellite collaborative planning as the satelliteting point, and summarizes and forecasts the planning research of the satellite collaborative algorithm, which focuses on the research status of satellite autonomous and collaborative task scheduling planning, and summarizes the research progress of single-star and multi-star mission scheduling problems according to “ground offline – on-line online – satellite integration”. In a word, satellite autonomous and collaborative task scheduling has broad research prospects.
Index Terms—Independent collaboration, satellite, integration of satellite and earth.
Jie Zhang, Fangzheng Zhao and Guiling Tian are with the Graduate School, Air Force Engineering University, Xi'an 710054 China (e-mail: afeu_zhangjie@163.com, zhaofz1020@163.com, david_liszt_tian@163.com).
Gang Wang is with the Department of Air-Defense and Anti-Missile, Air Force Engineering University, Xi'an 710054 China (e-mail: iamwg@163.com).
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Cite: Jie Zhang, Gang Wang, Fangzheng Zhao, and Guiling Tian, "Summary of Satellite Collaborative Planning Algorithm," International Journal of Future Computer and Communication vol. 9, no. 1, pp. 5-10, 2020.
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
(CC BY 4.0).
