宇航学报

宇航学报 ›› 2015, Vol. 36 ›› Issue (5): 496-503.doi: 10.3873/j.issn.1000-1328.2015.05.002

• 飞行器设计与力学 • 上一篇    下一篇

启发式深空探测器任务规划方法

赵凡宇，徐瑞，崔平远   

  1. 1. 北京理工大学深空探测技术研究所，北京100081；2. 飞行器动力学与控制教育部重点实验室，北京100081
  • 收稿日期:2014-05-06 修回日期:2014-08-11 出版日期:2015-05-15 发布日期:2015-05-25
  • 基金资助:

    国家重点基础研究发展计划(2012CB720000)；国家自然科学基金(60803051)；高等学校博士学科点专项科研基金 (20111101110001)；基础科研计划(B2220110012)；北京理工大学创新团队

Heuristic Mission Planning Approach for Deep Space Explorer

ZHAO Fan yu, XU Rui, CUI Ping yuan   

  1. 1. Institute of Deep Space Exploration Technology，Beijing Institute of Technology，Beijing 100081，China；
     2. Key Laboratory of Dynamics and Control of Flight Vehicle，Ministry of Education，Beijing 100081，China
  • Received:2014-05-06 Revised:2014-08-11 Online:2015-05-15 Published:2015-05-25

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摘要：

针对深空探测器的任务规划过程特点，考虑约束的数值特性，提出一种基于规划活动相关度的领域无关启发式规划方法。定义了活动的相关度，结合规划过程，给出自学习式的相关度动态更新过程。设计基于相关度的活动选择机制，形成启发式规划算法。数值计算结果表明，文中提出的方法有效地减少了规划过程中规划步数和回溯步数，提高了深空探测器规划的效率。

关键词: 深空探测器, 任务规划, 启发式, 活动相关度

Abstract:

Considering the numeric constraints, a planning approach based on a domain independent heuristic approach is proposed, and the heuristic is abstracted from the planning activity relevancy. The relevancy between activities is defined, and a dynamic self-learning updating process is given. The heuristic is designed based on the relevancy, guiding the activity selecting in the planning process, and the heuristic planning algorithm is finally proposed. The simulation results show that the algorithm can efficiently reduce planning steps and backtracking steps and improve the planning efficiency for deep space explorer.

Key words: Deep space explorer, Mission planning, Heuristic, Activity relevancy

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