| 启发式深空探测器任务规划方法 |
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| 引用本文： | 赵凡宇,徐瑞,崔平远.启发式深空探测器任务规划方法[J].宇航学报,2015,36(5):496-503. |
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| 作者姓名： | 赵凡宇 徐瑞 崔平远 |
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| 作者单位： | 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 |
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| 基金项目： | 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 |
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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。
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| 关 键 词： | 深空探测器 任务规划 启发式 活动相关度 |
| 收稿时间： | 2014-05-06 |
Heuristic Mission Planning Approach for Deep Space Explorer |
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| ZHAO Fan yu,XU Rui,CUI Ping yuan.Heuristic Mission Planning Approach for Deep Space Explorer[J].Journal of Astronautics,2015,36(5):496-503. |
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| Authors: | ZHAO Fan yu XU Rui CUI Ping yuan |
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| Institution: | 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 |
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| 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. |
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| Keywords: | Deep space explorer Mission planning Heuristic Activity relevancy |
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