Smoothed Particle Hydrodynamics Approach to Aggregation of Quadrotor Unmanned Aerial Vehicle Swarm | Zendy

Jose Martin Z. Maningo | Zendy; Ryan Rhay P. Vicerra | Zendy; Laurence A. Gan Lim | Zendy; Edwin Sybingco | Zendy; Elmer P. Dadios | Zendy; Argel A. Bandala | Zendy

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Smoothed Particle Hydrodynamics Approach to Aggregation of Quadrotor Unmanned Aerial Vehicle Swarm

Author(s) -

Jose Martin Z. Maningo,

Ryan Rhay P. Vicerra,

Laurence A. Gan Lim,

Edwin Sybingco,

Elmer P. Dadios,

Argel A. Bandala

Publication year - 2017

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2017.p0181

Subject(s) - computer science , smoothed particle hydrodynamics , swarm behaviour , particle swarm optimization , benchmarking , benchmark (surveying) , swarming (honey bee) , position (finance) , algorithm , artificial intelligence , mechanics , physics , geology , geodesy , finance , marketing , economics , botany , biology , business

This paper uses a fluid mechanics approach to perform swarming aggregation on a quadrotor unmanned aerial vehicle (QUAV) swarm platform. This is done by adapting the Smoothed Particle Hydrodynamics (SPH) technique. An algorithm benchmarking is conducted to see how well SPH performs. Simulations of varying set-ups are experimented to compare different algorithms with SPH. The position error of SPH is 30% less than the benchmark algorithm when a target enclosure is introduce. SPH is implemented using Crazyflie quadrotor swarm. The aggregation behavior exhibited successfully in the said platform.

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