Volume 47 Issue 2
Feb.  2021
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ZHANG Ling, DUAN Haibin, YONG Ting, et al. Unmanned aerial vehicle swarm formation control based on paired interaction mechanism in jackdaws[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 391-397. doi: 10.13700/j.bh.1001-5965.2020.0265(in Chinese)
Citation: ZHANG Ling, DUAN Haibin, YONG Ting, et al. Unmanned aerial vehicle swarm formation control based on paired interaction mechanism in jackdaws[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 391-397. doi: 10.13700/j.bh.1001-5965.2020.0265(in Chinese)

Unmanned aerial vehicle swarm formation control based on paired interaction mechanism in jackdaws

doi: 10.13700/j.bh.1001-5965.2020.0265
Funds:

Science and Technology Innovation 2030—Key Project of "New Generation Artificial Intelligence" 2018AAA0102403

National Natural Science Foundation of China 91948204

National Natural Science Foundation of China U20B2071

National Natural Science Foundation of China U1913602

National Natural Science Foundation of China U19B2033

More Information
  • Corresponding author: DUAN Haibin. E-mail: hbduan@buaa.edu.cn
  • Received Date: 15 Jun 2020
  • Accepted Date: 03 Jul 2020
  • Publish Date: 20 Feb 2021
  • Inspired by the paired flight mechanism of jackdaws, a paired interactive swarm model is proposed and applied to the Unmanned Aerial Vehicle (UAV) swarm control system. Firstly, by imitating the paired interaction between jackdaw individuals, the neighbor selection mechanism is designed in pairing interaction. Considering inertial acceleration, long-range attraction, close-range repulsion, speed matching and motion damping, the paired and unpaired individual's differential equation of kinematics is established based on the social forces. Then the construction of the paired interaction model is completed. Secondly, based on the UAV control model, a UAV swarm controller in paired interaction mechanism is designed. Finally, two sets of simulation experiments are conducted to study the characteristics of the model proposed when it is used on the UAV swarm. Simulation results show that the paired interaction model can ensure the consistency of the UAV swarm. The communication load of the UAVs can be reduced by less average number of neighbors in UAV interaction. The UAV swarm has higher stimulation accuracy if the paired UAV is taken as the information individual when facing external stimuli.

     

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