摘要
建立火箭及其分离残骸弹道计算动力学模型,并采用四元数方法对姿态角解算进行处理。提出基于优化加点Kriging模型的安全区预示方法,结合Monte Carlo和Kriging代理模型的特点,给出安全区预示流程。以某型助推火箭残骸安全区计算为例,对提出的安全区预示方法进行仿真验证。仿真结果表明,提出的基于优化加点Kriging模型安全区预示方法与Monte Carlo方法相比,在不损失计算精度的前提下,具有更高的计算效率,满足快速迭代的工程需求;相比传统极限偏差叠加方法,可显著降低安全区覆盖面积,具有较强的工程应用价值。
Dynamics model of the rocket and its debris were established,and the quaternion algorithm was used to compute the carrier attitude.A prediction method of safety control zone based on infill-sampling Kriging model was proposed,which combined the characteristics of Monte Carlo and Kriging surrogate models.Then a flow chart of prediction was provided furthermore,and one booster rocket′s debris safety control zone was simulated.Simulation results show that,compared with the Monte Carlo method without losing computational accuracy,the proposed method has equivalent computational accuracy and higher computational efficiency:it can meet the rapid iteration requirement for engineering design.While compared with the conventional extreme deviation overlying method,it can reduce the area of safety control zone dramatically and has relatively good engineering application value.
作者
祝学军
卜奎晨
王浩
高峰
赵长见
ZHU Xuejun;BU Kuichen;WANG Hao;GAO Feng;ZHAO Changjian(China Academy of Launch Vehicle Technology,Beijing 100076,China)
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2020年第2期121-126,共6页
Journal of National University of Defense Technology
关键词
助推火箭残骸
安全区预示
优化加点Kriging模型
计算效率
booster rocket′s debris
prediction method for safety control zone
infill-sampling Kriging model
computational efficiency
作者简介
祝学军(1962—),女,辽宁沈阳人,院士,硕士,硕士生导师,E-mail:zhuxj998@126.com。
