A Hierarchical Control Framework and Key Algorithms of Multi-Swarm Persistent Surveillance

Authors

Wang Tao, School of System Engineering, National University of Defense Technology, Changsha 410073, China;
Weiping Wang, School of System Engineering, National University of Defense Technology, Changsha 410073, China;
Xiaobo Li, School of System Engineering, National University of Defense Technology, Changsha 410073, China;
Jing Tian, School of System Engineering, National University of Defense Technology, Changsha 410073, China;

Abstract

Abstract: Persistent surveillance is a typical application of multi-swarm aerial vehicle systems (UAVs). And dynamic deployment for multi-swarm UAVs in persistent surveillance has been proved to be a complex problem, especially when the self-adjustment is required to adapt the time-sensitive environment. This paper proposes a multi-swarm hierarchical control scheme and key algorithms. We design the digital turf potential field model to approximate the evolving and interactive information of time-sensitive target features and surveillance effects. Moreover, using the digital turf potential function of each grid as the data point weight, we design a grid-based weighted data-clustering algorithm for the dynamic assignment of UAV swarms, which can adaptively adjust the number of UAVs in each swarm and its sub-region. Finally, we evaluate the proposed architecture by means of case studies and find that our method can promote surveillance efficiency and workload balance of multiple UAV swarms.

Recommended Citation

Tao, Wang; Wang, Weiping; Li, Xiaobo; and Tian, Jing (2019) "A Hierarchical Control Framework and Key Algorithms of Multi-Swarm Persistent Surveillance," Journal of System Simulation: Vol. 30: Iss. 4, Article 2.
DOI: 10.16182/j.issn1004731x.joss.201804002
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/2

First Page

1221

Revised Date

2018-03-27

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201804002

Last Page

1228

CLC

TP391

Recommended Citation

Wang Tao, Wang Weiping, Li Xiaobo, Jing Tian. A Hierarchical Control Framework and Key Algorithms of Multi-Swarm Persistent Surveillance[J]. Journal of System Simulation, 2018, 30(4): 1221-1228.

DOI

10.16182/j.issn1004731x.joss.201804002