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无人作战飞机侦察监视航路规划研究
引用本文:杨遵,雷虎民.无人作战飞机侦察监视航路规划研究[J].战术导弹控制技术,2009(1).
作者姓名:杨遵  雷虎民
作者单位:[1]桂林空军学院,桂林541003 [2]空军工程大学导弹学院,三原713800
基金项目:总装武器装备预研基金资助项目(9140A04050407JB3201); 航天科技创新基金资助项目(CASC0209)
摘    要:侦察监视航路规划是无人作战飞机(unmanned combat aerial vechicles,UCAV)任务规划系统的一项重要研究内容,其目的是找到一条从起始点出发并最终回到起始点,在某种性能指标下最优的飞行路径。本文提出了一种航路规划的遗传粒子群优化算法,设计了算法流程,给出了规划方法,解决了大范围内单/多机的侦察监视航路规划问题,仿真结果证明了该算法的有效性。

关 键 词:无人作战飞机  航路规划  侦察监视  遗传粒子群优化

Reconnaissance and surveillance path planning for unmanned combat air vehicles
YANG Zun,LEI Hu-min.Reconnaissance and surveillance path planning for unmanned combat air vehicles[J].Control Technology of Tactical Missile,2009(1).
Authors:YANG Zun  LEI Hu-min
Affiliation:YANG Zun1,LEI Hu-min2 (1. Guilin Air Force Academy,Guilin 541003,China,2. The Missile Institute,Airforce Engineering University,Sanyuan 713800,China)
Abstract:Reconnaissance surveillance path planning is an important research field of the mission planning system in unmanned combat aerial vehicles(UCAV). Finding an optimal flying path in accordance with some criterion from the start position and back it in the end is the main purpose. A large-scale discrete genetic particle swarm optimization path planning method for one or more UCAVs was proposed here. The arithmetic flow and planning approach was presented. The algorithm was implemented, and the results demonstr...
Keywords:unmanned combat aerial vehicle (UCAV)  path planning  reconnaissance and surveillance  discrete particle swarm optimization  
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