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NOVÁK, J. CHUDÝ, P.
Originální název
Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The range of multirotor Unmanned Aerial Vehicle (UAV) applications has grown significantly over the last decade. This is to be attributed to their simple mechanical design, along with hovering and maneuvering capabilities, making them a popular choice in applications such as surveillance, aerial photography, cargo transport or infrastructure inspection. Varying mission requirements with respect to UAV target location, payload capacity, speed or time of flight combined with environmental constraints such as no-fly zones can be hard to satisfy without the use of modern trajectory optimization techniques. Trajectory optimization problems are often formulated using optimal control theory. An Optimal Control Problem (OCP) for generalized multirotor UAV introducing environmental constraints has been formulated and solved by a direct transcription approach. Furthermore, a Gauss pseudospectral method has been implemented, enabling to design a framework for UAV trajectory optimization problems in constrained environments.
Klíčová slova
Gauss pseudospectral method, nonlinear programming, optimal control, trajectory optimization, unmanned aerial vehicle
Autoři
NOVÁK, J.; CHUDÝ, P.
Vydáno
28. 11. 2022
Nakladatel
International Council of the Aeronautical Sciences
Místo
Stockholm
ISBN
978-1-7138-7116-3
Kniha
33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
ISSN
2958-4647
Periodikum
ICAS Proceedings
Ročník
8
Číslo
11
Stát
Spolková republika Německo
Strany od
5682
Strany do
5696
Strany počet
15
URL
https://www.icas.org/ICAS_ARCHIVE/ICAS2022/data/papers/ICAS2022_0717_paper.pdf
BibTex
@inproceedings{BUT182523, author="Jiří {Novák} and Peter {Chudý}", title="Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments", booktitle="33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022", year="2022", journal="ICAS Proceedings", volume="8", number="11", pages="5682--5696", publisher="International Council of the Aeronautical Sciences", address="Stockholm", isbn="978-1-7138-7116-3", issn="2958-4647", url="https://www.icas.org/ICAS_ARCHIVE/ICAS2022/data/papers/ICAS2022_0717_paper.pdf" }