基于粒子群优化算法的火箭弹弹道研究  

Research on Rocket Trajectory Based on Particle Swarm Optimization Algorithm

作　　者：王捷 田晓丽[1] 贾晓玲 侯飞 WANG Jie;TIAN Xiaoli;JIA Xiaoling;HOU Fei(School of Mechanical and Electrical Engineering, North University of China, Taiyuan 030051, China)

机构地区：[1]中北大学机电工程学院

出　　处：《海军航空工程学院学报》2019年第3期323-327,336,共6页Journal of Naval Aeronautical and Astronautical University

摘　　要：针对制导火箭弹滑翔增程问题,文章提出了以攻角为优化变量的解决方法;基于火箭弹的四自由度模型,结合粒子群优化算法,提出了火箭弹射程优化模型并建立了约束条件。对某制导火箭弹弹道进行优化仿真,所得到的结果表明:通过控制火箭弹攻角的变化规律,能够有效增加火箭弹的射程。因此,文章所提出的攻角控制方法是可行的。Aiming at the problem of gliding and extending the range of guided rockets, a solution with angle of attack as the optimization variable was proposed in this paper. Based on the four-degree-of-freedom model of the rockets, the rocketrange optimization model was proposed based on the particle swarm optimization algorithm, and the constraints were estab. lished. The optimization simulation of a guided rocket trajectory show that the control of the angle of attack of the rocket can effectively increase the range of the rocket. For the rocket gliding range problem, the angle of attack control method proposed in this paper is feasible.

关 键 词：滑翔增程 粒子群优化 攻角 

分 类 号：TJ714[兵器科学与技术—武器系统与运用工程]