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Proceedings Paper

Robust control of a swarm of UCAVs
Author(s): Kuo-Chi Lin; Han Yu; Lei Zhou; Zheng Xia; Alex F. Sisti; Steven M. Alexander
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Paper Abstract

The control of the Unmanned Combat Air Vehicle's swarm behavior is studied. One command string controls the motion of all Unmanned Combat Air Vehicles in a mission. Each Unmanned Combat Air Vehicle moves according to the control decoded from the same control command string. There is no explicit coordination among them. However, the decoding of a control command string partially depends on other Unmanned Combat Air Vehicles surrounding it. If the control command string is properly chosen, the motion of the swarm of Unmanned Combat Air Vehicles will perform well collectively. Genetic algorithm is used to evolve the control command string. The robustness of the control is studied. Monte Carlo simulation in conjunction with Genetic Algorithm is used to evolve the robust control when wind-gust disturbance exists. The results of different approached are compared.

Paper Details

Date Published: 15 July 2002
PDF: 8 pages
Proc. SPIE 4716, Enabling Technologies for Simulation Science VI, (15 July 2002); doi: 10.1117/12.474905
Show Author Affiliations
Kuo-Chi Lin, Univ. of Central Florida (United States)
Han Yu, Univ. of Central Florida (United States)
Lei Zhou, Univ. of Central Florida (United States)
Zheng Xia, Univ. of Central Florida (United States)
Alex F. Sisti, Air Force Research Lab. (United States)
Steven M. Alexander, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 4716:
Enabling Technologies for Simulation Science VI
Alex F. Sisti; Dawn A. Trevisani, Editor(s)

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