Banks, A., Vincent, J. and Phalp, K. T., 2008. Particle Swarm Guidance System for Autonomous, Unmanned Aerial Vehicles in an Air Defence Role. Journal of the Royal Institute of Navigation, 61, pp. 9-29.
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This work investigates the utilisation of Particle Swarm Optimisation (PSO) for the non-deterministic navigation of Unmanned Aerial Vehicles (UAVs), allowing them to work cooperatively toward the goal of protecting a wide area against airborne attack. To negate the PSO's inherent weakness in dynamic environments, a neighbourhood scheme is proposed that not only enables the efficient interception of targets several times faster than the UAVs but also facilitates the maintenance of effective airspace coverage. Empirical results suggest that these techniques may indeed be of use in autonomous navigation systems for UAVs in air defence roles
|Subjects:||Generalities > Computer Science and Informatics|
|Group:||School of Design, Engineering & Computing > Software Systems Research Centre|
|Deposited By:||INVALID USER|
|Deposited On:||17 Jan 2009 20:53|
|Last Modified:||07 Mar 2013 15:04|
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