基于粒子群优化的侦察无人机路径规划

Yong Bao, Xiaowei Fu, Xiao-guang Gao
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引用次数: 40

摘要

提出了一种无人机定点侦察路径规划方法。该方法将粒子群优化(Particle Swarm Optimization, PSO)引入到侦察无人机路径规划算法中,将目标值、有效侦察路径等影响无人机路径规划的因素纳入到PSO的目标函数中。利用粒子群优化算法得到了侦察路径的最优解。最后进行了仿真,取得了满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Path planning for reconnaissance UAV based on Particle Swarm Optimization
This paper presents a method of fixed-point reconnaissance path planning for Unmanned Aerial Vehicle(UAV). In this method, Particle Swarm Optimization(PSO) is introduced into reconnaissance UAV path planning algorithm, and targets value, effective reconnaissance path and other factors that impact UAV path planning are included in the objective function of PSO. The optimal solution of reconnaissance path is obtained by optimizing of PSO. At last, the simulation is carried out and satisfactory results are achieved.
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