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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。
The development overview of RBV technology and three typical recovery schemes are introduced, and the navigation system scheme of rocket power autonomous return RBV is studied. According to the demand of high-precision autonomous navigation, the navigation system scheme of inertia + satellite + radio was determined. Based on the dynamic Bayesian theory and the basic principle of federal filtering, a new multi-sensor information dynamic fusion scheme and algorithm is proposed. Aiming at a certain flight path, the simulation results of the navigation scheme and the algorithm show that the scheme can achieve high precision autonomous navigation of the RBV throughout the flight back.