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VLK, J.; CHUDÝ, P.; PRUSTOMĚRSKÝ, M.
Originální název
LQR Based Digital Autopilot For Light Sport Aircraft
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
This paper addresses research on modern methods in automatic Flight Control System design and evaluation, as seen from the perspective of state-of-the-art and future utilization on Unmanned Aerial Systems. The paper introduces a Flight Control System design process with a special emphasis on the Model-Based Design approach. An integral part of this process is the composition of the aircrafts mathematical model employed in the flight control laws synthesis and the development of a simulation framework for the evaluation of the automatic Flight Control System's stability and performance.The core of this work is aimed at flight control laws synthesis built around the optimal control theory. The researched flight control laws originating from the proposed design process were integrated into an experimental digital Flight Control System.
Anglický abstrakt
Klíčová slova
aircraft, autopilot, flight control system, LQR
Klíčová slova v angličtině
Autoři
Rok RIV
2024
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
Svazek
7
Číslo
11
Stát
Spolková republika Německo
Strany od
5321
Strany do
5335
Strany počet
15
URL
https://www.icas.org/ICAS_ARCHIVE/ICAS2022/data/papers/ICAS2022_0719_paper.pdf
BibTex
@inproceedings{BUT182525, author="Jan {Vlk} and Peter {Chudý} and Milan {Prustoměrský}", title="LQR Based Digital Autopilot For Light Sport Aircraft", booktitle="33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022", year="2022", journal="ICAS Proceedings", volume="7", number="11", pages="5321--5335", 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_0719_paper.pdf" }