DocumentCode :
105287
Title :
Brief Paper - Distributed cooperative control for deployment and task allocation of unmanned aerial vehicle networks
Author :
Jinwen Hu ; Zhao Xu
Author_Institution :
Singapore Inst. of Manuf. Technol., Singapore, Singapore
Volume :
7
Issue :
11
fYear :
2013
fDate :
July 18 2013
Firstpage :
1574
Lastpage :
1582
Abstract :
In this study, the authors consider the deployment of unmanned aerial vehicle networks for task accomplishment within a closed region. Each agent with limited sensing range and communication range needs to take charge of the task accomplishment within a part of the whole region. The main objective is to optimise the deployment of the agents such that the maximum travelling time the agents take to reach a place within the surveillance region is minimised. The deployment issue is formulated as the worst-case disc-covering problem and a distributed cooperative control strategy is designed for agents with limited mobility. It is proven that by the proposed control strategy the network configuration converges to a local optimum configuration. Moreover, a combined optimisation approach is developed to improve the performance by optimising the initial configuration. To guarantee the proper working of the designed control strategy and K-connectivity of the network, a distributed topology control scheme is proposed. Finally, the effectiveness of the proposed control strategy is testified by simulation.
Keywords :
autonomous aerial vehicles; control system synthesis; distributed control; mobile robots; multi-robot systems; optimisation; topology; agent deployment optimisation; communication range; distributed cooperative control strategy design; distributed topology control scheme; limited mobility; limited sensing range; local optimum configuration; maximum travelling time; network K-connectivity; network configuration; optimisation approach; surveillance region; task accomplishment; task allocation; unmanned aerial vehicle network deployment; worst-case disc-covering problem;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2012.0779
Filename :
6587895
Link To Document :
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