Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements

Chingiz Hajiyev; Demet Cilden-Guler; Ulviye Hacizade

doi:10.1109/RAST.2019.8767886

Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements

Halic University

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

8 Atıf (Scopus)

Özet

Two-stage Kalman filter based estimation algorithm was developed for wind speed and UAV motion parameters. In the first stage., wind speed estimation algorithm is used based on GPS measurements and dynamic pressure measurements. The wind speed is estimated by Kalman filter using GPS and Air Data System (ADS)measurements. For this purpose., Extended Kalman Filter (EKF)was designed., and as state variables., the wind velocity components and ADS pitot scale factor are considered. In the second stage., the state parameters of the UAV dynamic model are estimated using GPS and IMU measurements. The second stage filter uses GPS position measurements., IMU orientation angles and speed measurements as well as the wind speed value estimated by the first stage filter.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019
Editörler	S. Menekay, O. Cetin, O. Alparslan
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	875-880
Sayfa sayısı	6
ISBN (Elektronik)	9781538694480
DOI'lar	https://doi.org/10.1109/RAST.2019.8767886
Yayın durumu	Yayınlandı - Haz 2019
Etkinlik	9th International Conference on Recent Advances in Space Technologies, RAST 2019 - Istanbul, Turkey Süre: 11 Haz 2019 → 14 Haz 2019

Yayın serisi

Adı	Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

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

???event.eventtypes.event.conference???	9th International Conference on Recent Advances in Space Technologies, RAST 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	11/06/19 → 14/06/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Belgeye Erişim

10.1109/RAST.2019.8767886

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Hajiyev, C., Cilden-Guler, D., & Hacizade, U. (2019). Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements. In S. Menekay, O. Cetin, & O. Alparslan (Eds.), Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019 (pp. 875-880). Makale 8767886 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2019.8767886

Hajiyev, Chingiz ; Cilden-Guler, Demet ; Hacizade, Ulviye. / Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements. Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. editör / S. Menekay ; O. Cetin ; O. Alparslan. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 875-880 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019).

@inproceedings{12f3e541eb454785a6f5d00d10d85daf,

title = "Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements",

abstract = "Two-stage Kalman filter based estimation algorithm was developed for wind speed and UAV motion parameters. In the first stage., wind speed estimation algorithm is used based on GPS measurements and dynamic pressure measurements. The wind speed is estimated by Kalman filter using GPS and Air Data System (ADS)measurements. For this purpose., Extended Kalman Filter (EKF)was designed., and as state variables., the wind velocity components and ADS pitot scale factor are considered. In the second stage., the state parameters of the UAV dynamic model are estimated using GPS and IMU measurements. The second stage filter uses GPS position measurements., IMU orientation angles and speed measurements as well as the wind speed value estimated by the first stage filter.",

keywords = "GPS, Kalman filter, Pitot Tube, Unmanned Aerial Vehicle, Wind speed",

author = "Chingiz Hajiyev and Demet Cilden-Guler and Ulviye Hacizade",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International Conference on Recent Advances in Space Technologies, RAST 2019 ; Conference date: 11-06-2019 Through 14-06-2019",

year = "2019",

month = jun,

doi = "10.1109/RAST.2019.8767886",

language = "English",

series = "Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019",

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

pages = "875--880",

editor = "S. Menekay and O. Cetin and O. Alparslan",

booktitle = "Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019",

address = "United States",

}

Hajiyev, C , Cilden-Guler, D & Hacizade, U 2019, Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements. in S Menekay, O Cetin & O Alparslan (eds), Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019., 8767886, Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019, Institute of Electrical and Electronics Engineers Inc., pp. 875-880, 9th International Conference on Recent Advances in Space Technologies, RAST 2019, Istanbul, Turkey, 11/06/19. https://doi.org/10.1109/RAST.2019.8767886

Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements. / Hajiyev, Chingiz ; Cilden-Guler, Demet; Hacizade, Ulviye.
Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. ed. / S. Menekay; O. Cetin; O. Alparslan. Institute of Electrical and Electronics Engineers Inc., 2019. p. 875-880 8767886 (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019).

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

TY - GEN

T1 - Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements

AU - Hajiyev, Chingiz

AU - Cilden-Guler, Demet

AU - Hacizade, Ulviye

PY - 2019/6

Y1 - 2019/6

N2 - Two-stage Kalman filter based estimation algorithm was developed for wind speed and UAV motion parameters. In the first stage., wind speed estimation algorithm is used based on GPS measurements and dynamic pressure measurements. The wind speed is estimated by Kalman filter using GPS and Air Data System (ADS)measurements. For this purpose., Extended Kalman Filter (EKF)was designed., and as state variables., the wind velocity components and ADS pitot scale factor are considered. In the second stage., the state parameters of the UAV dynamic model are estimated using GPS and IMU measurements. The second stage filter uses GPS position measurements., IMU orientation angles and speed measurements as well as the wind speed value estimated by the first stage filter.

AB - Two-stage Kalman filter based estimation algorithm was developed for wind speed and UAV motion parameters. In the first stage., wind speed estimation algorithm is used based on GPS measurements and dynamic pressure measurements. The wind speed is estimated by Kalman filter using GPS and Air Data System (ADS)measurements. For this purpose., Extended Kalman Filter (EKF)was designed., and as state variables., the wind velocity components and ADS pitot scale factor are considered. In the second stage., the state parameters of the UAV dynamic model are estimated using GPS and IMU measurements. The second stage filter uses GPS position measurements., IMU orientation angles and speed measurements as well as the wind speed value estimated by the first stage filter.

KW - GPS

KW - Kalman filter

KW - Pitot Tube

KW - Unmanned Aerial Vehicle

KW - Wind speed

UR - https://www.scopus.com/pages/publications/85073904817

U2 - 10.1109/RAST.2019.8767886

DO - 10.1109/RAST.2019.8767886

M3 - Conference contribution

AN - SCOPUS:85073904817

T3 - Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

SP - 875

EP - 880

BT - Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019

A2 - Menekay, S.

A2 - Cetin, O.

A2 - Alparslan, O.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Recent Advances in Space Technologies, RAST 2019

Y2 - 11 June 2019 through 14 June 2019

ER -

Hajiyev C , Cilden-Guler D, Hacizade U. Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements. In Menekay S, Cetin O, Alparslan O, editörler, Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 875-880. 8767886. (Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019). doi: 10.1109/RAST.2019.8767886

Two-stage Kalman filter for estimation of wind speed and UAV flight parameters based on GPS/INS and pitot tube measurements

Özet

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