舰船电子工程2019，Vol.39Issue(3)：41-45,5.DOI:10.3969/j.issn.1672-9730.2019.03.010
基于改进蚁群算法的无人机三维路径规划研究
Research on Path Planning of UAV Based on Improved Ant Colony Algorithm
焦阳1
作者信息
- 1. 北京新机场建设指挥部 北京 102602
- 折叠
摘要
Abstract
In order to ensure the flight safety of the unmanned aerial vehicle,this paper studies the path planning of the un?manned aerial vehicle. It solves the problem that the unmanned aerial vehicle is accessible under complex environment,terrain in?formation,determined or undetermined threats area and other factors during its flight. The flight environment of the unmanned aerial vehicle is modeled in three dimensions by rasterization method. And it uses the shortest path as a goal to improve ant colony algo?rithm with pheromone update rules. It proposes to plan a safe and optimal flight path for unmanned aerial vehicle. Finally,the simu?lation results show that the flight path planning by this algorithm is better and the calculation time is shorter than that of the tradition?al algorithm.关键词
路径规划/蚁群算法/三维规划/无人机Key words
path planning/ant colony algorithm/three-dimensional planning/UAV分类
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焦阳..基于改进蚁群算法的无人机三维路径规划研究[J].舰船电子工程,2019,39(3):41-45,5.
