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Volume 43 Issue 8
Aug.  2021
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Taifei ZHAO, Chunjie GONG, Gang ZHANG, Shuang ZHANG. A Safe and High Efficiency Control Strategy of Unmanned Aerial Vehicles Partition Rendezvous[J]. Journal of Electronics & Information Technology, 2021, 43(8): 2181-2188. doi: 10.11999/JEIT200601
Citation: Taifei ZHAO, Chunjie GONG, Gang ZHANG, Shuang ZHANG. A Safe and High Efficiency Control Strategy of Unmanned Aerial Vehicles Partition Rendezvous[J]. Journal of Electronics & Information Technology, 2021, 43(8): 2181-2188. doi: 10.11999/JEIT200601

A Safe and High Efficiency Control Strategy of Unmanned Aerial Vehicles Partition Rendezvous

doi: 10.11999/JEIT200601
Funds:  The National Natural Science Foundation of China (61971345), The Scientific Research Project of Shaanxi Provincial Department of Education (17-JF024), The Science and Technology Plan Project of Xi’an Beilin Area (GX1921), Xi’an Science Project (CXY1835(4)), The Science and Technology Plan Project of Yulin (2019-145)
  • Received Date: 2020-07-21
  • Rev Recd Date: 2020-12-08
  • Available Online: 2020-12-16
  • Publish Date: 2021-08-10
  • In order to make the Unmanned Aerial Vehicle (UAV) swarm arrival into the specified place quickly and safely, a control strategy of partition rendezvous is proposed. Considering the start distribution position of each UAV, rendezvous area and formation pattern, target rendezvous point are assigned for each UAV and the total range is minimized. The area near the rendezvous point is divided into several zones. UAVs in different zones travel in a straight line to the target rendezvous points in turn according to certain rules, without excess air route energy consumption and without mutual influence. UAVs communicate with each other stably through ultraviolet light, and share known information to realize information sharing within the swarm. The experimental results show that with the increase of the number of zones, the time taken to rendezvous decreases in a stepped manner. There is an approximate linear relationship between the height of the steps and the maximum number of UAVs in each zone, and the prediction of collision probability gradually decreases and finally approaches 0. In addition, a method to select optimal number of zones according to different needs is proposed.
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