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

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URI
http://hdl.handle.net/20.500.14066/3638
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Autor(es)
Gomez, Nicolas; Gómez López, Víctor AdolfoAutoridad CONACYT; Paiva, Enrique; Rodas Benítez, Jorge EstebanAutoridad CONACYT; Gregor Recalde, Raúl IgmarAutoridad CONACYT
Fecha de publicación
2018
Tipo de publicación
research article
Materia(s)
Resumen
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.
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