DocumentCode :
3225661
Title :
Simulation analysis of cooperative target search strategies for multiple UAVs
Author :
Hui Peng ; Meng-lan Huo ; Zhi-zhong Liu ; Wei Xu
Author_Institution :
Coll. of Command Inf. Syst., PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4855
Lastpage :
4859
Abstract :
Cooperative area target search strategies for multiple UAVs were studied in this paper. Firstly, the characteristics of several typical area search strategies were analyzed. Then, based on search map model, a state prediction based receding horizon optimization search decision strategy was proposed. Finally, the performance of the Zamboni search, random search, greedy search strategy and our method were analyzed through numerical simulations, and the simulation results demonstrate the effectiveness of our proposed method.
Keywords :
autonomous aerial vehicles; multi-robot systems; numerical analysis; path planning; search problems; Zamboni search; cooperative target search strategy; greedy search strategy; multiple UAV; numerical simulation; random search; receding horizon optimization search decision strategy; search map model; simulation analysis; state prediction; unmanned aerial vehicles; Decision making; Information entropy; Optimization; Predictive models; Search problems; Uncertainty; Area target search; Cooperative search strategy; Multiple UAVs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162793
Filename :
7162793
Link To Document :
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