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摘要:
为实现多约束条件下载人航天器交会对接(RVD)飞行任务的快速、准确规划,提出了一种基于有限状态机(FSM)的飞行任务规划方法。通过飞行过程与有限状态机的映射关系建立图形化任务规划模型,以飞行事件为状态,以测控、光照等约束条件为输入信号,驱动有限状态机的状态转移,进行模型求解,实现交会对接飞行任务的自动规划。以中国神舟十号飞行任务中航天员手控交会对接试验为例,进行了规划验证。经对比,规划计算结果与任务实施结果一致,表明所提方法可以实现交会对接飞行任务的快速、准确规划。
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关键词:
- 交会对接(RVD) /
- 任务规划 /
- 有限状态机(FSM) /
- 载人航天器 /
- 图形化建模
Abstract:The flight mission planning and scheduling method based on finite state machine (FSM) was proposed for planning and scheduling the rendezvous and docking (RVD) flight mission of manned spacecraft rapidly and exactly under multi-constraints. The graphical mission planning and scheduling model was established by mapping the RVD process with FSM. The flight events were taken as states and the constraints, such as sunlight condition, telemetry tracking and command coverage, were taken as input signals of the FSM. The model was solved automatically by driving the state machine transit from the initial state to the last one according to the flight sequence. Take the manned RVD experiment in China's Shenzhou-10 mission as an example, the proposed method was verified. The mission planning and scheduling result was consistent with the on-orbit execution. It shows that the FSM based modeling method can realize the RVD flight mission planning and scheduling rapidly and exactly.
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表 1 交会对接与有限状态机的映射关系
Table 1. Mapping relationship between RVD and FSM
模型参数 交会对接飞行过程 S={s0,s1,…,sn} 由交会对接飞行事件组成的状态集合, 其中,s0为飞行事件1,s1为飞行事件2,…,sn为飞行事件n+1 s0∈S 初始状态s0(飞行事件1) Σ={σ0,σ1,…,σn} 由轨道日照角、阳光抑制角、测控覆盖条件等组成的输入信号集合 Λ={λ0,λ1,…,λn} 输出信号集合 T 状态转移函数集合 G 输出函数集合 表 2 手控交会对接试验飞行任务分析
Table 2. Flight mission analysis of manned RVD experiment
飞行
事件飞行时序 约束条件 起始
时间持续
时间轨道日照角 阳光抑制角 测控
覆盖停靠 t0 分离 t1 T1 β≤min{β1,β2} tc≥T1 撤离 t2 T2 β≤min {β1,β2} θ≥max{θ1,θ2,…,θn} tc≥T2 停泊 t3 T3 β≤min {β1,β2} 接近 t4 T4 β≤min {β1,β2} θ≥max{θ1,θ2,…,θn} tc≥T4 对接 t5 T5 β≤min {β1,β2} tc≥T5 停靠 t6 表 3 手控交会对接试验飞行任务规划结果对比
Table 3. Comparison of flight mission planning and scheduling results of manned RVD experiment
飞行事件 起始时间 本文规划结果 神舟十号在轨执行结果 撤离 08:24 08:26 接近 10:05 10:07 -
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