Dynamic aggregation method for target enclosure using smoothed particle hydrodynamics technique - An implementation in quadrotor unmanned aerial vehicles (QUAV) swarm
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Article
Source Title
Journal of Advanced Computational Intelligence and Intelligent Informatics
Volume
20
Issue
1
First Page
84
Last Page
91
Publication Date
1-1-2016
Abstract
This paper presents an aggregation behavior derived from fluid characteristics by adapting Smoothed Particle Hydrodynamics (SPH) Technique. The most basic behavior in a swarm-like system is aggregation. The essential requirement of a swarm is to aggregate or collect itself in proximity to a singular point in order to execute higher level swarm behaviors. The aggregation behavior is further put into use by initiating a near convergence status in a single target enclosing it by the swarm with a given specific distance by using different fluid containers. In this paper, there are three fluid containers each is introduced with different characteristics. These containers are plane, spherical and toroidal containers. Using computer simulations with different trials, the proponents were able to determine the accuracy of containing the swarm elements in a desirable area. Furthermore, the ability of the swarm to maintain collectiveness is tested. The experiment results showed that the plane fluid container yielded an accuracy of 84.88%. A spherical fluid container displayed an accuracy of 95.23%. And using toroidal particle container showed an accuracy of 92.44%.
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Digitial Object Identifier (DOI)
10.20965/jaciii.2016.p0084
Recommended Citation
Bandala, A. A., & Dadios, E. P. (2016). Dynamic aggregation method for target enclosure using smoothed particle hydrodynamics technique - An implementation in quadrotor unmanned aerial vehicles (QUAV) swarm. Journal of Advanced Computational Intelligence and Intelligent Informatics, 20 (1), 84-91. https://doi.org/10.20965/jaciii.2016.p0084
Disciplines
Electrical and Electronics | Systems and Communications
Keywords
Swarm intelligence; Drone aircraft
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