期刊文献+

基于粒子群优化算法的火箭弹弹道研究 被引量:5

Research on Rocket Trajectory Based on Particle Swarm Optimization Algorithm
下载PDF
导出
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.
作者 王捷 田晓丽 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)
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
关键词 滑翔增程 粒子群优化 攻角 gliding extened range particle swarm optimization angle of attack
  • 相关文献

参考文献13

二级参考文献50

共引文献28

同被引文献38

引证文献5

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部