基于多目标优化算法的多弹道轨迹规划及仿真  

Multi-ballistic Trajectory Planning and Simulation Based on Multi-objective Optimization Algorithm

作　　者：张耀华 徐亚宁 高少杰 张鹏 刘仁体 石晓龙 杨曦 ZHANG Yaohua;XU Yaning;GAO Shaojie;ZHANG Peng;LIU Renti;SHI Xiaolong;YANG Xi(Shanghai Electro-Mechanical Engineering Institute,Shanghai 201109,China;PLA 93128 Troops,Beijing 100854,China)

机构地区：[1]上海机电工程研究所,上海201109 [2]中国人民解放军93128部队,北京100854

出　　处：《现代防御技术》2023年第5期77-85,共9页Modern Defence Technology

摘　　要：多弹协同是导弹武器的热点研究方向,具有很高的研究价值,而如何规划多个导弹的飞行弹道,则是其中的重要研究内容。以助推滑翔导弹滑翔段弹道为研究对象,以规划多条优质弹道轨迹为目的,提出了一种基于MOEA/D(multi-objective evolutionary algorithm based on decomposition)算法的多弹道轨迹仿真实现方法。选取射程最大和末速最大作为目标函数,进行滑翔段弹道规划,同时,为降低初始种群对多目标优化问题的影响,借助伪谱法为多目标优化算法提供高质量初始种群。经仿真验证,该方法可得到多条具备射程最优和末速最优的导弹飞行弹道。Multi-missile coordination is a hot research direction of missile weapons with high research value,and how to plan the flight trajectory of multiple missiles is an important research content.In this paper,a multi-ballistic trajectory simulation method based on a multi-objective evolutionary algorithm based on decomposition(MOEA/D)algorithm is proposed,which takes the glide phase of boost glide missile as the research object and aims at planning multiple high-quality trajectories.The maximum range and the maximum final velocity are selected as the objective functions to realize the trajectory planning of the glide phase.Meanwhile,in order to reduce the impact of the initial population on the multi-objective optimization problem,the pseudo-spectral method is used to provide high-quality initial populations for the multi-objective optimization algorithm.The simulation results show that the method can obtain multi-ballistic trajectories with optimal range and final velocity.

关 键 词：弹道优化 多目标优化 伪谱法 滑翔段 多弹道轨迹 

分 类 号：TJ013[兵器科学与技术—兵器发射理论与技术]