Pareto optimal PID tuning for Px4-Based unmanned aerial vehicles by using a multi-objective particle swarm optimization algorithm
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Show full item recordDate of publishing
2020Type of publication
research articleSubject(s)
UNMANNED AERIAL VEHICLE (UAV)
MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION
PARETO FRONT
PROPORTIONAL-INTEGRAL-DERIVATIVE (PID)
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.