Detail publikace

Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments

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

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"
}