指挥控制与仿真2012，Vol.34Issue(1)：29-32,4.DOI:10.3969/j.issn.1673-3819.2012.01.007
基于蚁群算法的无人机航迹规划及其动态仿真
Path Planning for UAV Based on Ant Colony Algorithm and Dynamic Simulation
摘要
Abstract
In order to realize real-time and interaction on UAV route planning, dynamic simulation system is established. Taking the "Predator" unmanned aerial vehicle model as the background, and combining with the theory of MAK simulation technology, UAV route planning is calculated by using ant colony algorithm, and simulation on Matlab platform is realized. By MAK software, the system also reproduces the whole process of the two and three-dimensional flight, the actual results are obvious and satisfied, and also provides an effective measure to verify interaction on the planning result.关键词
无人机/MAK/蚁群算法/动态仿真平台Key words
UAV/MAK/ant colony algorithm/dynamic simulation system分类
军事科技引用本文复制引用
王绪芝,姚敏,赵敏,胡中华..基于蚁群算法的无人机航迹规划及其动态仿真[J].指挥控制与仿真,2012,34(1):29-32,4.基金项目
航空科学基金(2009ZC52041) （2009ZC52041）
南京航空航天大学基本科研业务费专项科研项目(NP201 1005) （NP201 1005）
国家自然科学基金青年基金项目(51005121) （51005121）
