吉林大学学报(工学版) ›› 2023, Vol. 53 ›› Issue (8): 2245-2253.doi: 10.13229/j.cnki.jdxbgxb.20211120
• 车辆工程·机械工程 • 上一篇
Shuang LI1(),Zi-rui LIN1,Song YE2,Xu LIU1,Ji-song ZHAO1
摘要:
为解决运载火箭推力下降时无法正常入轨的问题,基于局部配点法和神经网络提出了入轨能力评估与轨迹重构方法。首先,采用局部配点法求解燃耗最优入轨问题,离线生成不同推力下降故障时运载火箭进入目标轨道和次级轨道的轨迹数据库。然后,采用神经网络学习轨迹数据库,建立推力下降故障与入轨能力之间的映射关系,从而使运载火箭出现推力下降时能对入轨能力在线评估与决策。最后,采用局部配点法进行在线轨迹重构,实现运载火箭入轨。数值仿真结果表明,本文方法可实现运载火箭推力下降时入轨能力评估和在线轨迹重构,从而提高发射任务的成功率。
中图分类号:
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