摘要
介绍了重复使用助推飞行器(RBV)技术发展概况和三种典型回收方案,并对火箭动力自主返场RBV的导航系统方案进行了研究。根据高精度自主导航需求,确定了惯性+卫星+无线电的导航系统方案。基于动态贝叶斯理论和联邦滤波基本原理,提出了一种新的多传感器信息动态融合方案和算法。针对某飞行轨迹,对导航方案和算法的仿真验证结果表明:在整个返场飞行过程中,方案能实现RBV的高精度自主导航。
Take engineering application of reusable booster vehicle as the research background,the state of research on reusable booster vehicle（RBV） and the three feasible fly-back schemes were introduced in this paper.The navigation program for auto fly-back rocket powered RBV was put forward.The INS＋GNSS＋radio was applied to realize navigation in high accuracy.A kind of improved information fusion technology based on dynamic Bayesian networks and federated filter was used in the navigation system.The simulation results of some special trajectory showed that the accuracy self-navigation of RBV would be realized in the whole auto fly-back period.
出处
《上海航天》
2011年第3期1-7,共7页
Aerospace Shanghai
基金
国家"863"计划资助项目(2006AA706205)
