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

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URI
http://hdl.handle.net/20.500.14066/3647
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Author(s)
Gómez López, Víctor AdolfoCONACYT Authority; Gomez, Nicolas; Rodas Benítez, Jorge EstebanCONACYT Authority; Paiva, Enrique; Saad, Maarouf; Gregor Recalde, Raúl IgmarCONACYT Authority
Date of publishing
2020
Type of publication
research article
Subject(s)
UNMANNED AERIAL VEHICLE (UAV)
MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION
PARETO FRONT
PROPORTIONAL-INTEGRAL-DERIVATIVE (PID)
 
Abstract
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.
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