ISBN
Formato digital
979-13-87837-54-9
Fecha de publicación
06-10-2025
Licencia
D. R. © Copyright 2025. Alma Y. Alanis, Jorge Galvez, Omar Avalos, Eduardo Méndez-Palos, Jorge D. Rios, Adriana Peña Perez-Negron & Gabriel Martínez Soltero
Todos los contenidos de esta obra se comparten bajo la licencia Creative Commons Atri-bución/Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0). Esto implica que no está autorizado el uso comercial de la obra original ni de las eventuales obras derivadas, las cuales deberán distribuirse bajo la misma licencia que rige la obra original. No obstante, se permite a terceros compartir el contenido siempre y cuando se reconozca debidamente la autoría y la publicación original en esta editorial.
Pablo A. Tellez Belkotosky
Universidad Autónoma de Nuevo León
0000-0002-1583-605X
Manuel Alejandro Gutiérrez Martínez
Universidad de Guadalajara
0000-0003-1916-9634
Alejandro Jiménez Flores
Universidad Autónoma de Nuevo León
0000-0002-7656-4203
Edmundo Javier Ollervides Vázquez
Universidad Autónoma de Nuevo León
0000-0003-0022-3485
Francisco Jurado
Instituto Tecnológico de La Laguna
0000-0001-5568-0435
Octavio García Salazar
Universidad Autónoma de Nuevo León
0000-0002-0445-1541
Acerca de
In this research work, the design of a PID flight controller with the rules of an expert system was applied to the navigation of an octocopter UAV. The Newton-Euler mathematical formulation is used to calculate the dynamic model of the octocopter UAV. The proposed set of decision rules for the Expert PID flight controller design allows the moment controllers to increase their response capability versus error variations. The simulation results of the navigation algorithm implemented in the octocopter UAV demonstrate that the translation Expert PID controller in interconnection with the attitude Expert PID controller can track a helical trajectory, fulfilling the objective of
Referencias
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