Implementation of the swarm intelligence behavior social foraging in unmanned aerial vehicle (UAV) quadrotors
Date of Publication
2016
Document Type
Master's Thesis
Degree Name
Master of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Argel A. Bandala
Defense Panel Chair
Elmer Dadios
Defense Panel Member
Laurence Gan Lim
Edwin Sybingco
Abstract/Summary
The growing interest in quadrotor research led to the creation of control algorithms for multiple quadrotor groups. 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 behavior social foraging in unmanned aerial vehicle quadrotors. To achieve this, it first explores the basic behavior of aggregation. It is implemented over a quadrotor swarm testbed 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. It is tested for an increasing number of quadrotors and errors are seen to increase with swarm size. Results show an error of 3.293 cm in target position for aggregation while showing an increase in aggregation speed and time in aggregate as the number of swarm members increases. The static environment social foraging test shows an error of 5.667 cm from the target position while the dynamic environment test posted an error of 8.395 cm an increase brought about the changing environment. All the tests show successful demonstration of the swarming behavior which can now mark the start of development of applications such as precision agriculture, search and rescue and unknown area exploration.
Abstract Format
html
Language
English
Format
Electronic
Accession Number
CDTG006657
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
1 computer optical disc ; 4 3/4 in.
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Recommended Citation
Faelden, G. U. (2016). Implementation of the swarm intelligence behavior social foraging in unmanned aerial vehicle (UAV) quadrotors. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/5183