• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE Aerospace Conference >Real-time, propellant-optimized spacecraft motion planning under Clohessy-Wiltshire-Hill dynamics
【24h】

Real-time, propellant-optimized spacecraft motion planning under Clohessy-Wiltshire-Hill dynamics

机译：Clohessy-Wiltshire-Hill动力学下的实时，推进剂优化航天器运动计划

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents a sampling-based motion planning algorithm for real-time, propellant-optimized autonomous spacecraft trajectory generation in near-circular orbits. Specifically, this paper leverages recent algorithmic advances in the field of robot motion planning to the problem of impulsively-actuated, propellant-optimized rendezvous and proximity operations under the Clohessy-Wiltshire-Hill (CWH) dynamics model. The approach calls upon a modified version of the Fast Marching Tree (FMT¿¿¿) algorithm to grow a set of feasible and actively-safe trajectories over a deterministic, low-dispersion set of sample points covering the free state space. Key features of the proposed algorithm include: (i) theoretical guarantees of trajectory safety and performance, (ii) real-time implementability, and (iii) generality, in the sense that a large class of constraints can be handled directly. As a result, the proposed algorithm offers the potential for widespread application, ranging from on-orbit satellite servicing to orbital debris removal and autonomous inspection missions.
机译：本文提出了一种基于采样的运动规划算法，用于在近圆形轨道上实时，推进剂优化的自主航天器轨迹生成。具体而言，本文利用了Clohessy-Wiltshire-Hill（CWH）动力学模型下的机器人运动计划领域中的最新算法进展，来解决脉冲驱动，推进剂优化的集合点和邻近操作问题。该方法需要快速行进树（Fast Marching Tree，FMT）算法的修改版，在覆盖自由状态空间的确定性低分散采样点集上增长一组可行且主动安全的轨迹。该算法的关键特征包括：（i）轨迹安全性和性能的理论保证;（ii）实时可实施性;以及（iii）通用性，因为可以直接处理大量约束。结果，所提出的算法为从在轨卫星服务到清除轨道碎片和自主检查任务的广泛应用提供了潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号