On modeling and discrete particle swarm optimization for task assignment of cooperating UAVs

Author

Na, Gao ; Zhi-hong, Qu ; Xiang-jun, Li

Author_Institution

Railway Prof. Technol. Coll., Xi´´an, China

fYear

2011

fDate

23-25 May 2011

Firstpage

1044

Lastpage

1049

Abstract

Task assignment of cooperating multi Unmanned Aerial Vehicles (UAVs) is a hot problem recently. Considering the main factors include the attack order of UAV, kill probability, survival probability and attack path, the target assignment model in different stages for multi-UAVs is established. Discrete particle swarm optimization (DPSO) algorithm is introduced to solve the complex task assignment problem. Each particle´s position is expressed in two multi-dimension vectors and the vectors evolve in different manner synchronously. The simulation results show that this method is satisfying.

Keywords

aircraft control; cooperative systems; military aircraft; mobile robots; particle swarm optimisation; probability; remotely operated vehicles; UAV; complex task assignment problem; cooperating multiunmanned aerial vehicle; discrete particle swarm optimization; multidimension vector; particle position; survival probability; task assignment modeling; Equations; Mathematical model; Optimization; Particle swarm optimization; Resource management; Unmanned aerial vehicles; Weapons; Cooperation; Discrete particle swarm optimization algorithm(DPSO); Task assignment; Unmanned Aerial Vehicle(UAV);

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2011 Chinese

Conference_Location

Mianyang

Print_ISBN

978-1-4244-8737-0

Type

conf

DOI

10.1109/CCDC.2011.5968338

Filename

5968338