无线电工程2024，Vol.54Issue(8)：1970-1977,8.DOI:10.3969/j.issn.1003-3106.2024.08.015
基于改进人工势场法的无人机集群作战策略
Strategy of UAV Swarm Operation Based on Improved Artificial Potential Field Method
摘要
Abstract
For the problem that the UAV swarm path planning effect is poor in complex island environment,and it is impossible to concentrate on attacking the high-value targets in a shorrt time,the UAV swarm attack operation strategy based on improved artificial potential field method is proposed.The enemy target is located through high-intensity reconnaissance of attack targets.According to the characteristics of the target,the type of UAV needed for attack is determined,and the target potential field is endowed with gravity to attract a specific UAV.In the gravitational field of the target point,a certain range of repulsive potential field is established to make the UAV stay in the air within the attack range of the target,and a certain repulsive potential field is given to the UAV in the swarm to avoid the collision of the UAV during flight.The bee colony control algorithm is introduced in the process of flight,and the attitude control of a single UAV is realized by controlling the convergence degree degree,dispersion degree and velocity of the swarm then the swarm control is realized.Finally,the UAV swarm simulation attack test was carried out,and the simulation results show that the improved artificial potential field method with bee colony algorithm successfully completed the path planning of UAV swarm.Compared with the improved artificial potential field method without bee colony algorithm,the attack time window was shortened by 3.208 s,and the swarm integrity was increased by 18.2％.关键词
改进人工势场法/蜂群控制算法/协同飞行控制/飞行聚合度/岛礁作战Key words
improved artificial potential field method/bee colony control algorithm/cooperative flight control/degree of flight convergence/islands and reefs operation分类
航空航天引用本文复制引用
李静,訾少康,鲁旭涛,郭晓宇..基于改进人工势场法的无人机集群作战策略[J].无线电工程,2024,54(8):1970-1977,8.基金项目
山西省重点研发计划(201903D221025)Key R&D Program of Shanxi Province(201903D221025) （201903D221025）
