摘要
针对当前翼伞系统研究中未考虑到地形威胁、火力威胁对航迹规划影响的问题,对地形威胁和火力威胁进行了建模,结合翼伞飞行特性,引入最小威胁曲面生成三维航迹搜索空间,并利用粒子群算法搜索优化翼伞系统的航迹。仿真结果表明,粒子群算法能有效地减小搜索空间,提高规划的效率,且使规划出的航迹能够躲避威胁,满足航程和高度的要求。
The influence of terrain threat and fire threat to the parafoil＇ s route planning isn＇ t consid- ered in the current researeh of parafoil airdrop system. In this paper, the models of both threats are built, then, concerning about the flight characteristics of parafoil, the minimum-risk surface is employed to gen- erate three-dimensional route-searching space. In addition, the particle swarm optimization （PSO） algo- rithm is used to search the optimal route of parafoil system. The simulation result shows that the PSO algorithm can reduce the searching space effectively and improve the efficiency of planning. Meanwhile, the planned route can avoid the threats and meet the requirements of range and height.
出处
《航空兵器》
2010年第5期7-10,18,共5页
Aero Weaponry
基金
航空预研基金
航空火力国家重点实验室基金资助项目
关键词
翼伞
空投系统
粒子群算法
航迹规划
最小威胁曲面
parafoil
airdrop system
particle swarm optimization algorithm
route planning
minimum-risk surface
