Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/8A19003" target="_blank" >8A19003: Framework of key enabling technologies for safe and autonomous drones' applications</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

15

Strana od-do

5682-5696

Název nakladatele

International Council of the Aeronautical Sciences

Místo vydání

Stockholm

Místo konání akce

Stockholm

Datum konání akce

4. 9. 2022

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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