An Evolutionary Algorithm for Quadcopter Trajectory Optimization in Aerial Challenges

Alves, Adson Nogueira; Ferreira, Murillo Augusto S.; Colombini, Esther Luna; Simões, Alexandre da Silva

doi:10.1109/lars/sbr/wre51543.2020.9307102

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Evolutionary Algorithms1

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2021

2023

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Cited by 4 publications

(1 citation statement)

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“…Genetic algorithms have been used extensively for pathfinding and navigation problems in the context of optimisation (Alves et al, 2020;Kumar et al, 2014) and obstacle-avoidance (Ma et al, 2020;Rath et al, 2019). Hu et al (2004) and Hildemann and Verstegen (2023) use chromosomes that assign a single gene to represent a single vertex of the linestring.…”

Section: Evolutionary Algorithmsmentioning

confidence: 99%

Genetic Programming to Optimise 3d Trajectories

Kotze¹,

Hildemann

Santos³

et al. 2023

Preprint

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Section: Evolutionary Algorithmsmentioning

confidence: 99%

Genetic Programming to Optimise 3d Trajectories

Kotze¹,

Hildemann

Santos³

et al. 2023

Preprint

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Hardware/Software Architecture for Research of Control Algorithms of a Quadcopter in the Presence of External Wind Loads

Jatsun

Emelyanova

Bezmen

et al. 2021

Smart Innovation, Systems and Technologies

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The paper presents a hardware/software architecture for the study of algorithms for controlling an unmanned aerial vehicle-type quadcopter in the presence of wind loads; an algorithm for the stabilization of the position of the center of mass of the quadcopter has been implemented and tested on an experimental model. The purpose of the presented hardware/software architecture is a study of the UAV control system parameters influence on the accuracy of the positioning of the vehicle in laboratory conditions under the influence of wind loads, as well as the movement of the vehicle along the specified points of the trajectory based on inertial sensors. The article discusses about the necessary hardware and software elements for reaching the stabilization of the position of the quadcopter in the hover mode based on data obtained from sensors. As the result of the study, the theoretical and experimental data are compared and the permissible range of the positioning error of the device is determined.

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