DocumentCode
2121001
Title
Research of UAVs cooperative tasks assignment model
Author
Pan Feng ; Zhang Zhe ; Zhang Rui ; Long Ting
Author_Institution
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear
2010
fDate
29-31 July 2010
Firstpage
1757
Lastpage
1762
Abstract
The multiple Unmanned Combat Aerial Vehicles (UAVs) tasks allocation, studied in the paper, is a complex assignment problem which requires allocating UAVs to targets to complete various tasks. The challenges is not only the potential dimensional explosion when the scenarios become more complicated and the size of problems increases, but also the constraints handling which is a specific characteristic compared with other scheduling or assignment problems. In this paper, A cooperative assignment model for UAVs tasks allocation is proposed and a “separation for sorting” strategy is introduced. The proposed model can effectively deal with various constraints, including the constraints expressed by nature language, and is flexible and effective enough to be combined with kinds of computation intelligence algorithms. Various scenarios with different dimension and non-stationary scenarios are studied by numerical experiments. Results illustrate that it can efficiently achieve the optima and demonstrate the effectiveness.
Keywords
aircraft control; constraint handling; cooperative systems; military aircraft; mobile robots; remotely operated vehicles; UAV cooperative tasks assignment model; computation intelligence algorithms; constraints handling; potential dimensional explosion; separation for sorting strategy; unmanned combat aerial vehicles tasks allocation; Algorithm design and analysis; Computational intelligence; Computational modeling; Electronic mail; Resource management; Sorting; Unmanned aerial vehicles; Computational Intelligence Algorithm; Multiple Unmanned Combat Aerial Vehicles(UAVs); Separation for Sorting; Task Assignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573958
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