Publication detail

LQR Based Digital Autopilot For Light Sport Aircraft

VLK, J. CHUDÝ, P. PRUSTOMĚRSKÝ, M.

Original Title

LQR Based Digital Autopilot For Light Sport Aircraft

Type

conference paper

Language

English

Original Abstract

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.

Keywords

aircraft, autopilot, flight control system, LQR

Authors

VLK, J.; CHUDÝ, P.; PRUSTOMĚRSKÝ, M.

Released

28. 11. 2022

Publisher

International Council of the Aeronautical Sciences

Location

Stockholm

ISBN

978-1-7138-7116-3

Book

33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022

ISBN

2958-4647

Periodical

ICAS Proceedings

Year of study

7

Number

11

State

Federal Republic of Germany

Pages from

5321

Pages to

5335

Pages count

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"
}