Pareto optimal PID tuning for Px4-Based unmanned aerial vehicles by using a multi-objective particle swarm optimization algorithm

dc.contributorUniversidad Nacional de Asunción - Facultad de Ingeniería
dc.creatorGomez Lopez, Victor Adolfo
dc.creatorGomez, Nicolas
dc.creatorRodas Benítez, Jorge Esteban
dc.creatorPaiva, Enrique
dc.creatorSaad, Maarouf
dc.creatorGregor Recalde, Raul Igmar
dc.date2022-04-26T01:08:34Z
dc.date2022-04-26T01:08:34Z
dc.date2020
dc.date.accessioned2023-09-25T13:31:28Z
dc.date.available2023-09-25T13:31:28Z
dc.identifierhttp://hdl.handle.net/20.500.14066/3647
dc.identifier10.3390/aerospace7060071
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8807409
dc.descriptionUnmanned aerial vehicles (UAVs) are affordable these days. For that reason, there are currently examples of the use of UAVs in recreational, professional and research applications. Most of the commercial UAVs use Px4 for their operating system. Even though Px4 allows one to change the flight controller structure, the proportional-integral-derivative (PID) format is still by far the most popular choice.
dc.descriptionCONACYT – Consejo Nacional de Ciencia y Tecnología
dc.descriptionPROCIENCIA
dc.languageeng
dc.relationPINV15-136
dc.rightsopen access
dc.subject4 Transporte, telecomunicaciones y otras infraestructuras
dc.subjectUNMANNED AERIAL VEHICLE (UAV)
dc.subjectMULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION
dc.subjectPARETO FRONT
dc.subjectPROPORTIONAL-INTEGRAL-DERIVATIVE (PID)
dc.subjectINGENIERIA
dc.titlePareto optimal PID tuning for Px4-Based unmanned aerial vehicles by using a multi-objective particle swarm optimization algorithm
dc.typeresearch article


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