基于ModelCenter平台的再入弹道参数灵敏度分析  

Parameter Sensitivity Analysis for Reentry Trajectory Based on Model Center

作　　者：郑宏涛[1] 李永远[1] 李洋[1] Zheng Hongtao Li Yongyuan Li Yang(R＆D Center, China Academy of Launch Vehicle Technology, Beijing 100076, China)

机构地区：[1]中国运载火箭技术研究院研究发展中心,北京100076

出　　处：《航天控制》2016年第6期3-6,14,共5页Aerospace Control

摘　　要：为分析各种偏差及不确定性对再入弹道的影响,优化再入弹道设计的偏差及不确定性参数,基于Model Center的灵敏度分析模块实现了再入弹道参数灵敏度分析。运用动力学理论建立了重复使用运载器再入段动力学模型,并结合重复使用运载器参数,综合考虑各种偏差及不确定性,完成了大规模蒙特卡洛仿真。基于参数灵敏度分析方法,对影响再入飞行过程关键指标的参数进行灵敏度分析,分析结果表明:峰值热流的最灵敏参数为航迹角偏差,峰值过载和峰值动压的最灵敏参数为阻力系数偏差。In order to obtain the influence of various bias and uncertainties on reentry trajectory, then bias and uncertainties of the design of reentry trajectory are optimized. In this paper, based on the sensitivity a- nalysis module of ModelCenter platform, the sensitivity analysis of reentry trajectory parameters is realized. The dynamic model of lift type flight reentry is established by using the dynamic theory, the large scale Monte Carlo simulation is completed by considering all kinds of bins and uncertainties and combining with the parameters of the lift vehicle. The influence of bias and uncertainties for key variables in the reentry process is obtained based on global parameter sensitivity analysis method. The analysis results show that the most sensitive parameter for peak heat flux is flight - path angle bias, the most sensitive parameter of peak normal acceleration and peak dynamic pressure are drag coefficient bins.

关 键 词：灵敏度分析 再入弹道 偏差及不确定性 蒙特卡洛 

分 类 号：V412.4[航空宇航科学与技术—航空宇航推进理论与工程]