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