基于粒子群优化的双脉冲发动机空空导弹爬高弹道研究  

Climb Trajectory Optimization of AAM with Dual-Pulse Motor Based on Particle Swarm Optimization

作　　者：陈鹿斌 赵华超[1] CHEN Lubin;ZHAO Huachao(China Airborne Academy, Luoyang 471000, China)

机构地区：[1]中国空空导弹研究院,河南洛阳471000

出　　处：《兵器装备工程学报》2021年第11期57-63,共7页Journal of Ordnance Equipment Engineering

摘　　要：以最大末速为优化指标,通过建立双脉冲发动机空空导弹三自由度爬高弹道增程模型,引入粒子群算法对爬升角、爬升时间、发动机双脉冲推力比以及点火间隔进行优化设计及仿真;仿真结果表明,优化后的弹道相比非优化的原始弹道,导弹可以在等距离下获得更高的末速或在等末速下获得更远的射程。When the dual-pulse motor air-to-air missile uses the climb ballistic to extend the range,the design parameters such as the climb angle will affect the ballistic performance;taking the maximum terminal velocity as the optimization index,by building the missile three-degree-of-freedom model,the particle swarm algorithm was introduced to optimize the design and simulation of the climb angle,climb time,double pulse thrust ratio and ignition interval;the simulation results show that the optimized trajectory can obtain higher terminal velocity at equal distance or longer range under constant terminal velocity compared to the original non-optimized trajectory.

关 键 词：空空导弹 粒子群算法 爬高弹道 优化 双脉冲发动机 

分 类 号：TJ760.9[兵器科学与技术—武器系统与运用工程]