一种增加动基座飞行器误差分离结果稳定性的半解析方法

动基座发射飞行器存在初始误差大、初始误差和工具误差强耦合等特点,相比静基座发射,其误差分离过程更为复杂针对上述问题,提出了一种增加动基座飞行器误差分离结果稳定性的半解析方法,建立了初始定位误差、初始速度误差的解析求解模型,采用了迭代方法对初始误差和工具误差进行联合求解.通过算例对比分析半解析误差分离方法和传统误差分离方法,结果表明:半解析方法中基于遥外测视位置和速度差分离初始误差,观测数据与误差量直接对应,并结合解析方法精准高效的特点,能够有效提高动基座飞行器误差分离结果稳定性.

An Approximated Analytical Method to Increase the Stability of Error Separation Results of Moving Base Aircraft

The dynamic base launch vehicle has the characteristics of large initial error, strong coupling of initial error and tool error. Compared with the static base launch, the error separation process is more complicated. In view of the above problems, an approximated analytical method to increase the stability of moving base aircraft error separation is proposed, and the analytical solution model considering initial positioning error and initial velocity error is established. By adopting an iterative solution, initial error and tool error are solved together. By comparing with the traditional error separation method, the results show that through the analytical method the observation data corresponds to the amount of error directly, and the analytical method based on the separation of initial errors, remote observation position and speed difference is accuracy and efficiency. It is concluded that the approximated analytical method can effectively improve t the stability of the error separation results of moving base.