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

Uçak Mühendisliği Bölümü

Turkish National Defence University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9798350323023
DOI'lar	https://doi.org/10.1109/RAST57548.2023.10197936
Yayın durumu	Yayınlandı - 2023
Etkinlik	10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 - Istanbul, Türkiye Süre: 7 Haz 2023 → 9 Haz 2023

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	7/06/23 → 9/06/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Belgeye Erişim

10.1109/RAST57548.2023.10197936

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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).

@inproceedings{30c3ef43a70e450ab042dde4343c7c36,

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",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

address = "United States",

}

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, Türkiye, 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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Aircraft State Estimation via KF&AKF Methods

AU - Sever, Mert

AU - Erkec, Tuncay Yunus

AU - Hajiyev, Chingiz

PY - 2023

Y1 - 2023

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.

KW - aircraft

KW - flight dynamics

KW - kalman filters

KW - state vectors

UR - https://www.scopus.com/pages/publications/85168421169

U2 - 10.1109/RAST57548.2023.10197936

DO - 10.1109/RAST57548.2023.10197936

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.

T2 - 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023

Y2 - 7 June 2023 through 9 June 2023

ER -

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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