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

Gomez Lopez, Victor Adolfo; Gomez, Nicolas; Rodas Benítez, Jorge Esteban; Paiva, Enrique; Saad, Maarouf; Gregor Recalde, Raul Igmar

research article

Registro en:

http://hdl.handle.net/20.500.14066/3647

10.3390/aerospace7060071

https://repositorioslatinoamericanos.uchile.cl/handle/2250/8807409

Autor

Gomez Lopez, Victor Adolfo

Gomez, Nicolas

Rodas Benítez, Jorge Esteban

Paiva, Enrique

Saad, Maarouf

Gregor Recalde, Raul Igmar

Institución

Consejo Nacional de Ciencia y Tecnología (Paraguay)

Resumen

Unmanned 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.

CONACYT – Consejo Nacional de Ciencia y Tecnología

PROCIENCIA

Materias

4 Transporte, telecomunicaciones y otras infraestructuras

UNMANNED AERIAL VEHICLE (UAV)

MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION

PARETO FRONT

PROPORTIONAL-INTEGRAL-DERIVATIVE (PID)

INGENIERIA

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