Analytical reentry guidance framework based on swarm intelligence optimization and altitude-energy profile  

作　　者：Hui XU Guangbin CAI Chaoxu MU Xin LI 

机构地区：[1]College of Missile Engineering,Rocket Force University of Engineering,Xi’an 710025,China [2]School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China

出　　处：《Chinese Journal of Aeronautics》2023年第12期336-348,共13页中国航空学报（英文版）

基　　金：co-supported by the National Natural Science Foundation of China(No.61773387);Tianjin Natural Science Foundation,China(No.20JCYBJC00880)。

摘　　要：Aimed at improving the real-time performance of guidance instruction generation,an analytical hypersonic reentry guidance framework is presented.The key steps of the novel guidance framework are the parameterization of reentry guidance problems and the optimization of parameters.First,a quintic polynomial function of energy was designed to describe the altitude profile.Then,according to the altitude-energy profile,the altitude,velocity,flight path angle,and bank angle were obtained analytically,which naturally met the terminal constraints.In addition,the angle of the attack profile was determined using the velocity parameter.The swarm intelligent optimization algorithms were used to optimize the parameters.The path constraints were enforced by the penalty function method.Finally,extensive simulations were carried out in both nominal and dispersed cases,and the simulation results showed that the proposed guidance framework was effective,high-precision,and robust in different scenarios.

关 键 词：Analytical solution Hypersonic glide vehicle Improved swarm intelligent optimization Monte-Carlo simulation Reentry guidance method 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]