Aircraft State Estimation via KF&AKF Methods

Mert Sever; Tuncay Yunus Erkec; Chingiz Hajiyev

doi:10.1109/RAST57548.2023.10197936

Aircraft State Estimation via KF&AKF Methods

Mert Sever, Tuncay Yunus Erkec, Chingiz Hajiyev

Department of Aeronautical Engineering

Turkish National Defence University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The motion analysis of the aircraft is important in avoiding situations that may affect the flight safety, as well as ensuring the continuity of the safe flight of the aircraft. We can analyze the movement of the aircraft and flight dynamics in two situations, longitudinal movement, and lateral movement, including vertical movement. In this study, the motion of the aircraft, given the initial conditions, is investigated by estimating the state vectors by means of the Kalman Filter (KF) and the Adaptive Kalman Filters (AKF) besides a comparison between estimation methods has been made.

Original language	English
Title of host publication	Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350323023
DOIs	https://doi.org/10.1109/RAST57548.2023.10197936
Publication status	Published - 2023
Event	10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 - Istanbul, Turkey Duration: 7 Jun 2023 → 9 Jun 2023

Publication series

Name	Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023

Conference

Conference	10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Country/Territory	Turkey
City	Istanbul
Period	7/06/23 → 9/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

aircraft
flight dynamics
kalman filters
state vectors

Access to Document

10.1109/RAST57548.2023.10197936

Cite this

Sever, M., Erkec, T. Y., & Hajiyev, C. (2023). Aircraft State Estimation via KF&AKF Methods. In Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST57548.2023.10197936

Sever, Mert ; Erkec, Tuncay Yunus ; Hajiyev, Chingiz. / Aircraft State Estimation via KF&AKF Methods. Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023).

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title = "Aircraft State Estimation via KF&AKF Methods",

abstract = "The motion analysis of the aircraft is important in avoiding situations that may affect the flight safety, as well as ensuring the continuity of the safe flight of the aircraft. We can analyze the movement of the aircraft and flight dynamics in two situations, longitudinal movement, and lateral movement, including vertical movement. In this study, the motion of the aircraft, given the initial conditions, is investigated by estimating the state vectors by means of the Kalman Filter (KF) and the Adaptive Kalman Filters (AKF) besides a comparison between estimation methods has been made.",

keywords = "aircraft, flight dynamics, kalman filters, state vectors",

author = "Mert Sever and Erkec, {Tuncay Yunus} and Chingiz Hajiyev",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 ; Conference date: 07-06-2023 Through 09-06-2023",

year = "2023",

doi = "10.1109/RAST57548.2023.10197936",

language = "English",

series = "Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023",

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Sever, M, Erkec, TY & Hajiyev, C 2023, Aircraft State Estimation via KF&AKF Methods. in Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023, Institute of Electrical and Electronics Engineers Inc., 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023, Istanbul, Turkey, 7/06/23. https://doi.org/10.1109/RAST57548.2023.10197936

Aircraft State Estimation via KF&AKF Methods. / Sever, Mert; Erkec, Tuncay Yunus; Hajiyev, Chingiz.
Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2023

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N2 - The motion analysis of the aircraft is important in avoiding situations that may affect the flight safety, as well as ensuring the continuity of the safe flight of the aircraft. We can analyze the movement of the aircraft and flight dynamics in two situations, longitudinal movement, and lateral movement, including vertical movement. In this study, the motion of the aircraft, given the initial conditions, is investigated by estimating the state vectors by means of the Kalman Filter (KF) and the Adaptive Kalman Filters (AKF) besides a comparison between estimation methods has been made.

AB - The motion analysis of the aircraft is important in avoiding situations that may affect the flight safety, as well as ensuring the continuity of the safe flight of the aircraft. We can analyze the movement of the aircraft and flight dynamics in two situations, longitudinal movement, and lateral movement, including vertical movement. In this study, the motion of the aircraft, given the initial conditions, is investigated by estimating the state vectors by means of the Kalman Filter (KF) and the Adaptive Kalman Filters (AKF) besides a comparison between estimation methods has been made.

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M3 - Conference contribution

AN - SCOPUS:85168421169

T3 - Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023

BT - Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Sever M, Erkec TY, Hajiyev C. Aircraft State Estimation via KF&AKF Methods. In Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023). doi: 10.1109/RAST57548.2023.10197936

Aircraft State Estimation via KF&AKF Methods

Abstract

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Bibliographical note

Keywords

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