摘要
从研究多无人机协同任务的系统资源分配、任务分配、航线规划、轨迹优化等问题入手,建立了多基地多无人机协同侦察模型.针对问题,首先利用"栅格化聚拢"的思想对目标点进行过滤优化,进而对目标群和无人机基地进行了任务分配,而后结合蚁群算法、贪心算法、最短路径算法等思想,通过Matlab平台,计算出能够让无人机停留在雷达探测区域总时间最少的最优策略.
This paper starts from the problems of system resource allocation, task assignment, route planning and trajectory optimization of multiple UAV cooperative mission, and establishes a multiple UAV cooperative reconnaissance model. In order to solve the problem,firstly, using the ideas of ＂Grid gather＂ to filter optimization target,then allocated the target group and the UAV base, and then combined with ant colony algorithm, greedy algorithm,shortest path algorithm and other ideas,by using the Matlab platform,,we can calculate the optimal strategy that can allow the UAV stay in the radar detection area of the total least time.
出处
《数学的实践与认识》
北大核心
2017年第14期42-51,共10页
Mathematics in Practice and Theory
关键词
无人机
任务协同
策略优化
贪心算法
栅格化聚拢
unmanned aerial vehicles
task coordination
strategy optimization
greedy algorithm
grid gather
