基于蚁群算法的无人机航迹规划及其动态仿真

为实现无人机航迹规划的实时性和交互性,建立了无人机动态仿真系统。以"捕食者"无人机模型为应用背景,结合MAK仿真技术的相关理论,利用蚁群算法计算了无人机航迹规划,并实现了Matlab平台下的实例仿真。基于构建的仿真系统,利用MAK软件实现了二维和三维飞行过程的显示,仿真效果理想,为无人机航迹规划结果的交互验证提供了一种有效的手段。

Path Planning for UAV Based on ant colony algorithm and Dynamic Simulation

ABSTRACT: In order to realize real-time and interaction on UAV path planning, dynamic simulation platform for UAV is established. Taking the "Predator" unmanned aerial vehicle model as the background, it combined with the theory of MAK simulation technology and on the basis of ant colony algorithm, guidance factor is included, improving the convergence speed. On the basis of the UAV flight simulation, simulation machine calls model of UAV by MAK software and then through interface of VC, the host computer provides the algorithm for real-time transmission to the simulation computer and the visual computer, and finally UAV dynamic simulation system reproduces the whole process of the two and three-dimensional flight , the actual results are obvious.