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Variable durative actions based mission planning for the approach phase of small body explorer

  • Ting Peng*
  • , Rui Xu
  • , Fanyu Zhao
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Autonomous planning technology for the deep space exploration mission has achieved wide attention recently. Traditional mission planning for deep space explorer uses activity with fixed duration. But during the actual mission operating of deep space explorer, activity's execution time varies from the goal of mission based on current situation and capacity. Specifically, the mission for the approach phase of small body raised demand for faster and higher ability of operation because of its own characteristics, such as coupling among missions, numerous subsystems, complicated constraints, high requirements of real time, etc. In order to design reasonable and feasible sequences in limited time to realize the system goals, this paper analyzes the constraints and requirements of autonomous planning system during the approach phase of small body based on Planning Domain Definition Language (PDDL). And a method of mission planning modeling is proposed to solve the variable time duration problem of activity during the approach phase of small body explorer. In the simulation results, the duration of charging and communication can be determined by actual time based on the requirements of resource constraints. This method can roundly and flexibly represent the variable durative actions and meet the demand of autonomous planning for the approach phase of small body for deep space explorer.

源语言英语
主期刊名ICICIP 2012 - 2012 3rd International Conference on Intelligent Control and Information Processing
114-119
页数6
DOI
出版状态已出版 - 2012
活动2012 3rd International Conference on Intelligent Control and Information Processing, ICICIP 2012 - Dalian, 中国
期限: 15 7月 201217 7月 2012

出版系列

姓名ICICIP 2012 - 2012 3rd International Conference on Intelligent Control and Information Processing

会议

会议2012 3rd International Conference on Intelligent Control and Information Processing, ICICIP 2012
国家/地区中国
Dalian
时期15/07/1217/07/12

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