Nontraditional UKF based nanosatellite attitude estimation with the process and measurement noise covariances adaptation

Chingiz Hajiyev; Demet Cilden Guler; Halil Ersin Soken

doi:10.1109/RAST.2017.8003009

Nontraditional UKF based nanosatellite attitude estimation with the process and measurement noise covariances adaptation

Chingiz Hajiyev, Demet Cilden Guler, Halil Ersin Soken

Japan Aerospace Exploration Agency

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

2 Citations (Scopus)

Abstract

In this study, we add on to our previous researches for non-traditional filtering the investigation of measurement and process noise covariance adaptation and propose an Adaptive Unscented Kalman Filter (AUKF) for nanosatellite attitude estimation. Singular Value Decomposition (SVD) method runs using the magnetometer and sun sensor measurements as the first stage of the algorithm and estimates the attitude of the nanosatellite giving one estimate at a single-frame. Then these estimated attitude terms are given as input to the AUKF. In the result, the attitude and attitude rates of the satellite are estimated reliably in the whole orbital period.

Original language	English
Title of host publication	Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017
Editors	M.F. Unal, A. Hacioglu, M.S. Yildiz, O. Altan, M. Yorukoglu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	381-386
Number of pages	6
ISBN (Electronic)	9781538616031
DOIs	https://doi.org/10.1109/RAST.2017.8003009
Publication status	Published - 4 Aug 2017
Event	8th International Conference on Recent Advances in Space Technologies, RAST 2017 - Istanbul, Turkey Duration: 19 Jun 2017 → 22 Jun 2017

Publication series

Name	Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017

Conference

Conference	8th International Conference on Recent Advances in Space Technologies, RAST 2017
Country/Territory	Turkey
City	Istanbul
Period	19/06/17 → 22/06/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Attitude estimation
adaptive unscented Kalman filter
nanosatellite
single-frame estimator

Access to Document

10.1109/RAST.2017.8003009

Cite this

Hajiyev, C., Guler, D. C., & Soken, H. E. (2017). Nontraditional UKF based nanosatellite attitude estimation with the process and measurement noise covariances adaptation. In M. F. Unal, A. Hacioglu, M. S. Yildiz, O. Altan, & M. Yorukoglu (Eds.), Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017 (pp. 381-386). Article 8003009 (Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2017.8003009

Hajiyev, Chingiz ; Guler, Demet Cilden ; Soken, Halil Ersin. / Nontraditional UKF based nanosatellite attitude estimation with the process and measurement noise covariances adaptation. Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017. editor / M.F. Unal ; A. Hacioglu ; M.S. Yildiz ; O. Altan ; M. Yorukoglu. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 381-386 (Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017).

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title = "Nontraditional UKF based nanosatellite attitude estimation with the process and measurement noise covariances adaptation",

abstract = "In this study, we add on to our previous researches for non-traditional filtering the investigation of measurement and process noise covariance adaptation and propose an Adaptive Unscented Kalman Filter (AUKF) for nanosatellite attitude estimation. Singular Value Decomposition (SVD) method runs using the magnetometer and sun sensor measurements as the first stage of the algorithm and estimates the attitude of the nanosatellite giving one estimate at a single-frame. Then these estimated attitude terms are given as input to the AUKF. In the result, the attitude and attitude rates of the satellite are estimated reliably in the whole orbital period.",

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author = "Chingiz Hajiyev and Guler, {Demet Cilden} and Soken, {Halil Ersin}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th International Conference on Recent Advances in Space Technologies, RAST 2017 ; Conference date: 19-06-2017 Through 22-06-2017",

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doi = "10.1109/RAST.2017.8003009",

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Hajiyev, C , Guler, DC & Soken, HE 2017, Nontraditional UKF based nanosatellite attitude estimation with the process and measurement noise covariances adaptation. in MF Unal, A Hacioglu, MS Yildiz, O Altan & M Yorukoglu (eds), Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017., 8003009, Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017, Institute of Electrical and Electronics Engineers Inc., pp. 381-386, 8th International Conference on Recent Advances in Space Technologies, RAST 2017, Istanbul, Turkey, 19/06/17. https://doi.org/10.1109/RAST.2017.8003009

Nontraditional UKF based nanosatellite attitude estimation with the process and measurement noise covariances adaptation. / Hajiyev, Chingiz ; Guler, Demet Cilden; Soken, Halil Ersin.
Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017. ed. / M.F. Unal; A. Hacioglu; M.S. Yildiz; O. Altan; M. Yorukoglu. Institute of Electrical and Electronics Engineers Inc., 2017. p. 381-386 8003009 (Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017).

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

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PY - 2017/8/4

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N2 - In this study, we add on to our previous researches for non-traditional filtering the investigation of measurement and process noise covariance adaptation and propose an Adaptive Unscented Kalman Filter (AUKF) for nanosatellite attitude estimation. Singular Value Decomposition (SVD) method runs using the magnetometer and sun sensor measurements as the first stage of the algorithm and estimates the attitude of the nanosatellite giving one estimate at a single-frame. Then these estimated attitude terms are given as input to the AUKF. In the result, the attitude and attitude rates of the satellite are estimated reliably in the whole orbital period.

AB - In this study, we add on to our previous researches for non-traditional filtering the investigation of measurement and process noise covariance adaptation and propose an Adaptive Unscented Kalman Filter (AUKF) for nanosatellite attitude estimation. Singular Value Decomposition (SVD) method runs using the magnetometer and sun sensor measurements as the first stage of the algorithm and estimates the attitude of the nanosatellite giving one estimate at a single-frame. Then these estimated attitude terms are given as input to the AUKF. In the result, the attitude and attitude rates of the satellite are estimated reliably in the whole orbital period.

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Hajiyev C , Guler DC, Soken HE. Nontraditional UKF based nanosatellite attitude estimation with the process and measurement noise covariances adaptation. In Unal MF, Hacioglu A, Yildiz MS, Altan O, Yorukoglu M, editors, Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 381-386. 8003009. (Proceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017). doi: 10.1109/RAST.2017.8003009

Nontraditional UKF based nanosatellite attitude estimation with the process and measurement noise covariances adaptation

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Keywords

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