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陈超, 徐瑞, 李朝玉. 基于状态差异的火星巡视器快速任务规划修复方法[J]. 深空探测学报(中英文), 2021, 8(2): 124-131. DOI: 10.15982/j.issn.2096-9287.2021.20200075
引用本文: 陈超, 徐瑞, 李朝玉. 基于状态差异的火星巡视器快速任务规划修复方法[J]. 深空探测学报(中英文), 2021, 8(2): 124-131. DOI: 10.15982/j.issn.2096-9287.2021.20200075
CHEN Chao, XU Rui, LI Zhaoyu. Fast Mission Plan Repair Method for Mars Rover Based on State Difference[J]. Journal of Deep Space Exploration, 2021, 8(2): 124-131. DOI: 10.15982/j.issn.2096-9287.2021.20200075
Citation: CHEN Chao, XU Rui, LI Zhaoyu. Fast Mission Plan Repair Method for Mars Rover Based on State Difference[J]. Journal of Deep Space Exploration, 2021, 8(2): 124-131. DOI: 10.15982/j.issn.2096-9287.2021.20200075

基于状态差异的火星巡视器快速任务规划修复方法

Fast Mission Plan Repair Method for Mars Rover Based on State Difference

  • 摘要: 火星环境存在不确知、电子设备故障难预测等特点,严重影响巡视器已有规划在火星表面实际应用的效果,执行任务易造成失败。在火星巡视器与地面站之间通信存在长时延的客观事实下,提出一种基于状态差异的快速任务规划修复方法。利用感知状态与动作执行的必要状态之间的差异,从已有规划中提取关键信息来构建不同时刻的部分状态,提出了基于部分状态的火星巡视器快速任务规划修复策略,并考虑实际状态与部分状态之间的差异,设计了基于状态差异的搜索空间删减方法,有目的地生成、扩展节点并消解冲突,以提高规划修复效率。仿真实验结果表明,该方法不仅提高了火星巡视器任务规划修复的效率,而且保障了规划稳定性,可为航天器快速自主应对执行时的突发事件提供技术支持。

     

    Abstract: The uncertainty of Mars environment and the difficulty to predict the failure of electronic equipment will seriously affect the actual effect of the pre-designed plan of the rover on Martian surface, resulting in plan execution failure. To solve this problem, a fast mission plan repair method based on state difference is proposed based on the fact that there is long delay between the Mars rover and the ground station. This method constructs partial states at different times by extracting the key information from the existing plan, lying on the difference between the perception state and the necessary state of action execution. And then the rapid mission plan repair strategy for Mars rover based on the partial state is presented. In this strategy, to improve the efficiency of plan repair, the search space deletion method based on the state difference between the actual state and the partial state is proposed. Simulation results demonstrate that this method can not only improve the efficiency of mission plan repair, but also ensure the plan stability.

     

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