Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU147436" target="_blank" >RIV/00216305:26230/22:PU147436 - isvavai.cz</a>
Result on the web
<a href="https://www.icas.org/ICAS_ARCHIVE/ICAS2022/data/papers/ICAS2022_0717_paper.pdf" target="_blank" >https://www.icas.org/ICAS_ARCHIVE/ICAS2022/data/papers/ICAS2022_0717_paper.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/8A19003" target="_blank" >8A19003: Framework of key enabling technologies for safe and autonomous drones' applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022
ISBN
978-1-7138-7116-3
ISSN
2958-4647
e-ISSN
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Number of pages
15
Pages from-to
5682-5696
Publisher name
International Council of the Aeronautical Sciences
Place of publication
Stockholm
Event location
Stockholm
Event date
Sep 4, 2022
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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