Implementation of swarm social foraging behavior in unmanned aerial vehicle (UAV) quadrotor 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

21

Issue

2

First Page

197

Last Page

204

Publication Date

3-1-2017

Abstract

One of the novel approaches in multiple quadrotor control is swarm robotics. It aims to mimic social behaviors of animals and insects. This paper presents the physical implementation of the swarm social foraging behavior in unmanned aerial vehicle quadrotors. To achieve this, it first explores the basic behavior of aggregation. It is implemented over a quadrotor swarm test-bed that makes use of external motion capture cameras. The completed algorithm makes use of the artificial potential function model combined with the environment resource profile model. Results show successful demonstration of the social foraging algorithm with minimal error in position. Also, the proposed algorithm's performance presents an increase in aggregation speed and time as the number of swarm member increases.

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Digitial Object Identifier (DOI)

10.20965/jaciii.2017.p0197

Disciplines

Electrical and Electronics | Robotics

Keywords

Swarm intelligence; Quadrotor helicopters; Drone aircraft—Control systems

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