CZ-2C火箭子级残骸实时落点偏差分析  被引量:6

Analysis on Real-time Impact Point Calculation Method of CZ-2C Rocket Residues

在线阅读下载全文

作  者:黄普 何雨帆[2] 王奥 张军峰 HUANG Pu;HE Yufan;WANG Ao;ZHANG Junfeng(State Key Laboratory of Astronautic Dynamics,Xi’an 710043,China;Xi’an Satellite Control Center,Xi’an 710043,China)

机构地区:[1]宇航动力学国家重点实验室,西安710043 [2]西安卫星测控中心,西安710043

出  处:《航天返回与遥感》2020年第5期13-20,共8页Spacecraft Recovery & Remote Sensing

基  金:国家自然科学基金(00000000);国家高技术研究发展计划(863计划)(2008AA000000)资助课题。

摘  要:文章针对快速搜索CZ-2C火箭子级残骸问题,研究了残骸陨落飞行规律和落点散布规律,建立了一种考虑轨道摄动的高精度陨落弹道计算分析方法。该方法采用J2000惯性系动力学模型描述陨落过程,通过单点积分的方式预报落点。考虑到积分初值中速度偏差对落点的影响,通过多次同型号火箭的历史数据分析,估计分离时刻分离速度偏差,进而提高预报落点精度。同时设计了一种基于无味变换采样仿真技术的落点偏差计算方法,能够计算各个子级落点分布范围。通过实测的历史数据分析,该方法能准确预报火箭一子级落点及散布范围,具有工程应用价值。In order to quickly search the debris of CZ-2C rocket residues,the flight rule and impact point rule of debris were studied.In this paper,a high precision method for calculating and analyzing falling trajectory considering orbital perturbation is established.The J2000 inertial system dynamics model is used to describe the fall process and predicts the impact point by method of single point integration.Considering the influence of the speed deviation on the position of the impact point in the initial value of the integral,this paper analyzes the data of the same type of rocket in multiple missions,and estimates the separation speed deviation at the separation time,which improves the accuracy of the predicting impact point.At the same time,unscented sampling points function is applied to obtain the mean and variance of the impact point.By comparing with the mission data,the distribution range of the impact point can be obtained.The accuracy of the impact point prediction of the same type rocket has greatly improved.It has a higher engineering application value.

关 键 词:落点预报 单点积分 分离力 无味采样 落点分布 航天返回 

分 类 号:V557[航空宇航科学与技术—人机与环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象