Multi-unmanned aerial vehicle swarm formation control using hybrid strategy

被引:29
|
作者
Ali, Zain Anwar [1 ]
Han Zhangang [1 ]
机构
[1] Beijing Normal Univ, Sch Syst Sci, Beijing, Peoples R China
关键词
Fixed-wing UAV; swarm formation; Cauchy mutant (CM); particle swarm optimization; leader-follower formation; PATH PLANNING ALGORITHM; ANT COLONY OPTIMIZATION; OBSTACLE AVOIDANCE; UAV; COLLISION; TRACKING; SYSTEMS;
D O I
10.1177/01423312211003807
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study proposes a novel hybrid strategy for formation control of a swarm of multiple unmanned aerial vehicles (UAVs). To enhance the fitness function of the formation, this research offers a three-dimensional formation control for a swarm using particle swarm optimization (PSO) with Cauchy mutant (CM) operators. We use CM operators to enhance the PSO algorithm by examining the varying fitness levels of the local and global optimal solutions for UAV formation control. We establish the terrain and the fixed-wing UAV model. Furthermore, it also models different control parameters of the UAV as well. The enhanced hybrid algorithm not only quickens the convergence rate but also improves the solution optimality. Lastly, we carry out the simulations for the multi-UAV swarm under terrain and radar threats and the simulation results prove that the hybrid method is effective and gives better fitness function.
引用
收藏
页码:2689 / 2701
页数:13
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