基于混合粒子群优化算法的多弹协同航迹规划  

Multi-missile cooperative route planning based on hybrid particle swarm optimization

作　　者：李帆[1] 郝博[1] 万聪梅[1] 赵建辉[1] 薛蕾[1] 

机构地区：[1]北京航空航天大学仪器科学与光电工程学院,北京100191

出　　处：《飞行力学》2013年第1期93-96,共4页Flight Dynamics

基　　金：国家自然科学基金资助(91016004)

摘　　要：为解决多弹协同低空突防航迹规划问题,提出了一种可在动态环境中进行离线和在线协同规划的混合粒子群优化算法。采用分解策略将多弹协同航迹规划总体结构分为两层:航迹规划层与协同规划层。分别针对单目标和多目标进行了多弹离线和在线仿真验证,结果表明该算法可针对突发威胁实时规划出多条三维航迹,并满足时间协同要求。To solve the muhi-missile cooperative low-altitude penetration route planning problem, hybrid particle swarm optimization （HPSO） algorithm is proposed, which can be used in a dynamic environ- ments for offline and online cooperative route planning. A decomposition strategy is used to divide the multi-missile cooperative route planning overall structure into two layers： route planning layer and cooper- ative planning layer. Offline and online simulations are made for single target and multiple targets, and the results show that the algorithm can plan multiple fiat three-dimensional cooperative routes in real-time in case of sudden threat.

关 键 词：多弹协同 分解策略 混合粒子群优化算法 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]