research article
Flight controller optimization of unmanned aerial vehicles using a particle swarm algorithm
Autor
Gomez, Nicolas
Gomez Lopez, Victor Adolfo
Paiva, Enrique
Rodas Benítez, Jorge Esteban
Gregor Recalde, Raul Igmar
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. CONACYT – Consejo Nacional de Ciencia y Tecnología PROCIENCIA