Unmanned aerial vehicle swarm cooperative search based on moth pheromone courtship mechanism

被引:0
|
作者
Liu Y. [1 ]
Deng Y. [1 ]
Duan H. [1 ]
Wei C. [1 ]
机构
[1] School of Automation Science and Electrical Engineering, Beihang University, Beijing
来源
Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology | 2022年 / 44卷 / 04期
关键词
cooperative search; distributed control; moth pheromone; unmanned aerial vehicle swarm;
D O I
10.11887/j.cn.202204003
中图分类号
学科分类号
摘要
In order to improve the efficiency of the UAV (unmanned aerial vehicle) swarm in cooperative search for moving targets, a UAV swarm cooperative search method was proposed on the basis of the moth pheromone courtship mechanism. According to the courtship behavior of moth in choosing flight direction by pheromone, a wind direction model in pheromone map and a moth pheromone courtship model were established. Considering the constraint of collision avoidance between UAV swarm, a map from moth pheromone courtship mechanism to UAV swarm distributed cooperative search was proposed, and the specific implementation process was given. Simulation results show the effectiveness and stability of the proposed method in solving the cooperative search problem of single moving target, and the outdoor flight experimental results verified the feasibility of the proposed method in practice. © 2022 National University of Defense Technology. All rights reserved.
引用
收藏
页码:22 / 31
页数:9
相关论文
共 18 条
  • [1] DUAN H B, QIU H X., Unmanned aerial vehicle swarm autonomous control based on swarm intelligence, (2018)
  • [2] DUAN H B, SHEN Y K, ZHAO Y J, Et al., Review of technological hotspots of unmanned aerial vehicle in 2020[J], Science & Technology Review, 39, 1, pp. 233-247, (2021)
  • [3] QUERALTA J P, TAIPALMAA J, PULLINEN B C, Et al., Collaborative multi-robot search and rescue:planning, coordination, perception, and active vision[J], IEEE Access, 8, pp. 191617-191643, (2020)
  • [4] WANG N, LI Z, LIANG X L, Et al., Cooperative target search of UAV swarm with communication distance constraint, Mathematical Problems in Engineering, (2021)
  • [5] WU A P, GUO Z, HOU Z X, Et al., Area target search and payload parameters influence for UAV in uncertain environment[J], Journal of National University of Defense Technology, 42, 4, pp. 35-42, (2020)
  • [6] WU A, YANG R N, LIANG X L, Et al., Cooperative search algorithm based on pheromone decision for UAV swarm[J], Journal of Beijing University of Aeronautics and Astronautics, 47, 4, pp. 814-827, (2021)
  • [7] SHAO Y, ZHAO Z F, LI R P, Et al., Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments[J], Frontiers of Information Technology & Electronic Engineering, 21, 5, pp. 796-808, (2020)
  • [8] LOU C W, GE Q B, LIU H P, Et al., Active perception method for UAV group target search[J], CAAI Transactions On Intelligent Systems, 16, 3, pp. 575-583, (2021)
  • [9] YAO J, LI S J, LUO D L, Et al., Multiple UAVs collaboration path search based on particle swarm genetic algorithm[J], Fire Control & Command Control, 46, 8, pp. 59-63, (2021)
  • [10] SHAO R, TAO R T, LIU Y D, Et al., UAV cooperative search in dynamic environment based on hybrid-layered APF[J], EURASIP Journal on Advances in Signal Processing, (2021)