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面向自主运行的深空探测航天器体系结构设计及自主任务规划方法

Translated title of the contribution: Structural design and autonomous mission planning method of deep space exploration spacecraft for autonomous operation
  • Xiao En Feng
  • , Yu Qing Li
  • , Chen Yang*
  • , Xiong Wen He
  • , Yong Xu
  • , Li Ying Zhu
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • National University of Defense Technology
  • Beijing Space Vehicle General Design Department

Research output: Contribution to journalArticlepeer-review

Abstract

The traditional spacecraft operation and control method relies heavily on ground accusation, the labor cost is large and the task response time is long, and it is difficult to meet the characteristics of the deep space exploration longdistance communication delay. The intelligent level of the spacecraft needs to be further improved. Based on the systematic analysis of the autonomous operation of spacecraft, an architecture based on multi-agent spacecraft autonomous operation are proposed, which is designed for the structure and operation flow of the autonomous system. Focusing on the asteroid detection mission, a two-stage spacecraft autonomous mission planning algorithm design scheme including platform and load task management is proposed, which can realize the autonomous mission management of spacecraft and load the complete instruction sequence according to the advanced mission objectives. Through the autonomous mission planning simulation, the correctness and feasibility of the relevant algorithms and models are visually verified and analyzed, which provides a useful idea and method for the research of spacecraft autonomous operation technology.

Translated title of the contributionStructural design and autonomous mission planning method of deep space exploration spacecraft for autonomous operation
Original languageChinese (Traditional)
Pages (from-to)2035-2041
Number of pages7
JournalKongzhi Lilun Yu Yingyong/Control Theory and Applications
Volume36
Issue number12
DOIs
StatePublished - 1 Dec 2019

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