Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm

In this paper, a simultaneous calibration algorithm of the parameters of the attitude and altitude control for an unmanned aerial vehicle (UAV) is proposed. The algorithm is based on the multi-objective particle swarm optimization (MOPSO) technique.

Bibliographic Details

Main Author:	Gomez, Nicolas (author)
Other Authors:	Gómez López, Víctor Adolfo (author), Paiva, Enrique (author), Rodas Benítez, Jorge Esteban (author), Gregor Recalde, Raúl Igmar (author)
Format:	article
Language:	English
Published:	2018
Subjects:	4. Transporte, telecomunicaciones y otras infraestructuras UNMANNED AERIAL VEHICLE (UAV) FLIGHT CONTROLLER OPTIMIZATION PROPORTIONAL-INTEGRAL-DERIVATIVE (PID) INGENIERIA
Online Access:	http://hdl.handle.net/20.500.14066/3638
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