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金颢, 徐瑞, 崔平远, 朱圣英. 基于状态转移图的启发式深空探测器任务规划方法[J]. 深空探测学报(中英文), 2019, 6(4): 364-368. DOI: 10.15982/j.issn.2095-7777.2019.04.008
引用本文: 金颢, 徐瑞, 崔平远, 朱圣英. 基于状态转移图的启发式深空探测器任务规划方法[J]. 深空探测学报(中英文), 2019, 6(4): 364-368. DOI: 10.15982/j.issn.2095-7777.2019.04.008
JIN Hao, XU Rui, CUI Pingyuan, ZHU Shengying. Heuristic Search Based on State Transition Graphs for Deep Space Task Planning[J]. Journal of Deep Space Exploration, 2019, 6(4): 364-368. DOI: 10.15982/j.issn.2095-7777.2019.04.008
Citation: JIN Hao, XU Rui, CUI Pingyuan, ZHU Shengying. Heuristic Search Based on State Transition Graphs for Deep Space Task Planning[J]. Journal of Deep Space Exploration, 2019, 6(4): 364-368. DOI: 10.15982/j.issn.2095-7777.2019.04.008

基于状态转移图的启发式深空探测器任务规划方法

Heuristic Search Based on State Transition Graphs for Deep Space Task Planning

  • 摘要: 针对深空探测器复杂系统并行及约束耦合等特点,在时间线描述框架的基础上,引入了状态转移图结构。通过分析探测器任务规划中的耦合约束关系,设计了转移图代价计算方法,并提出了基于状态转移图的启发式任务规划算法。利用转移图设计启发式对无关节点进行剪枝,削减了搜索空间,加速了搜索过程。数值仿真结果表明,该算法能够有效减少不必要的规划步数,提高任务规划的效率。

     

    Abstract: In view of the complex system and coupling operation constraints of deep space probes,state transition graphs are defined based on the timeline knowledge representation. With the analysis of involved constraints in task planning,the computation procedure of cost estimate for state transition is designed. In addition,the state transition graph based heuristic planning algorithm is proposed and is able to prune irrelevant search space,and accelerate the searching process. Simulation results indicate that the algorithm can reduce unnecessary planning steps and make certain improvements in planning efficiency.

     

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