Integration of algebraic method and EKF for attitude determination of small information satellites

Chingiz Hajiyev; Ece Sevim Conguroglu

doi:10.1109/RAST.2015.7208435

Integration of algebraic method and EKF for attitude determination of small information satellites

Chingiz Hajiyev, Ece Sevim Conguroglu

Department of Aeronautical Engineering

Istanbul Technical University

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

7 Citations (Scopus)

Abstract

In this study an integrated Algebraic method/ Extended Kalman fitler (EKF) attitude determination system is presented, in which the 2-vector and EKF algorithms are combined to estimate the attitude angles and angular velocities. As a reference directions for algebraic method, the unit vectors toward the Sun and Earth's Magnetic Field are used. The Euler angles produced 2-vector algorithm and their error variances are provided as input to the EKF. Then the EKF uses this attitude information as the measurements for providing more accurate attitude estimates even when the satellite is in eclipse. The 'attitude angle error covariance matrix' calculated for the estimations of the algebraic method are regarded as the measurement noise covariance for the EKF. The parameters of satellite's rotational motion (Euler angles and angular velocities) are estimated using EKF. In comparison to more traditional approaches, this preprocessing step significantly reduces the complexity of filter design by allowing the use of linear measurement equations.

Original language	English
Title of host publication	RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies
Editors	M. Fevzi Unal, Suleyman Basturk, Okyay Kaynak, Abdurrahman Hacioglu, Fuat Ince
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	719-724
Number of pages	6
ISBN (Electronic)	9781467377607
DOIs	https://doi.org/10.1109/RAST.2015.7208435
Publication status	Published - 17 Aug 2015
Event	7th International Conference on Recent Advances in Space Technologies, RAST 2015 - Istanbul, Turkey Duration: 16 Jun 2015 → 19 Jun 2015

Publication series

Name	RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies

Conference

Conference	7th International Conference on Recent Advances in Space Technologies, RAST 2015
Country/Territory	Turkey
City	Istanbul
Period	16/06/15 → 19/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

angular velocity
attitude determination
estimation
extended Kalman filter
magnetometer
small satellite
sun sensor

Access to Document

10.1109/RAST.2015.7208435

Cite this

Hajiyev, C., & Conguroglu, E. S. (2015). Integration of algebraic method and EKF for attitude determination of small information satellites. In M. F. Unal, S. Basturk, O. Kaynak, A. Hacioglu, & F. Ince (Eds.), RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies (pp. 719-724). Article 7208435 (RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2015.7208435

Hajiyev, Chingiz ; Conguroglu, Ece Sevim. / Integration of algebraic method and EKF for attitude determination of small information satellites. RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies. editor / M. Fevzi Unal ; Suleyman Basturk ; Okyay Kaynak ; Abdurrahman Hacioglu ; Fuat Ince. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 719-724 (RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies).

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title = "Integration of algebraic method and EKF for attitude determination of small information satellites",

abstract = "In this study an integrated Algebraic method/ Extended Kalman fitler (EKF) attitude determination system is presented, in which the 2-vector and EKF algorithms are combined to estimate the attitude angles and angular velocities. As a reference directions for algebraic method, the unit vectors toward the Sun and Earth's Magnetic Field are used. The Euler angles produced 2-vector algorithm and their error variances are provided as input to the EKF. Then the EKF uses this attitude information as the measurements for providing more accurate attitude estimates even when the satellite is in eclipse. The 'attitude angle error covariance matrix' calculated for the estimations of the algebraic method are regarded as the measurement noise covariance for the EKF. The parameters of satellite's rotational motion (Euler angles and angular velocities) are estimated using EKF. In comparison to more traditional approaches, this preprocessing step significantly reduces the complexity of filter design by allowing the use of linear measurement equations.",

keywords = "angular velocity, attitude determination, estimation, extended Kalman filter, magnetometer, small satellite, sun sensor",

author = "Chingiz Hajiyev and Conguroglu, {Ece Sevim}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 7th International Conference on Recent Advances in Space Technologies, RAST 2015 ; Conference date: 16-06-2015 Through 19-06-2015",

year = "2015",

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doi = "10.1109/RAST.2015.7208435",

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Hajiyev, C & Conguroglu, ES 2015, Integration of algebraic method and EKF for attitude determination of small information satellites. in MF Unal, S Basturk, O Kaynak, A Hacioglu & F Ince (eds), RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies., 7208435, RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies, Institute of Electrical and Electronics Engineers Inc., pp. 719-724, 7th International Conference on Recent Advances in Space Technologies, RAST 2015, Istanbul, Turkey, 16/06/15. https://doi.org/10.1109/RAST.2015.7208435

Integration of algebraic method and EKF for attitude determination of small information satellites. / Hajiyev, Chingiz; Conguroglu, Ece Sevim.
RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies. ed. / M. Fevzi Unal; Suleyman Basturk; Okyay Kaynak; Abdurrahman Hacioglu; Fuat Ince. Institute of Electrical and Electronics Engineers Inc., 2015. p. 719-724 7208435 (RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies).

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

TY - GEN

T1 - Integration of algebraic method and EKF for attitude determination of small information satellites

AU - Hajiyev, Chingiz

AU - Conguroglu, Ece Sevim

PY - 2015/8/17

Y1 - 2015/8/17

N2 - In this study an integrated Algebraic method/ Extended Kalman fitler (EKF) attitude determination system is presented, in which the 2-vector and EKF algorithms are combined to estimate the attitude angles and angular velocities. As a reference directions for algebraic method, the unit vectors toward the Sun and Earth's Magnetic Field are used. The Euler angles produced 2-vector algorithm and their error variances are provided as input to the EKF. Then the EKF uses this attitude information as the measurements for providing more accurate attitude estimates even when the satellite is in eclipse. The 'attitude angle error covariance matrix' calculated for the estimations of the algebraic method are regarded as the measurement noise covariance for the EKF. The parameters of satellite's rotational motion (Euler angles and angular velocities) are estimated using EKF. In comparison to more traditional approaches, this preprocessing step significantly reduces the complexity of filter design by allowing the use of linear measurement equations.

AB - In this study an integrated Algebraic method/ Extended Kalman fitler (EKF) attitude determination system is presented, in which the 2-vector and EKF algorithms are combined to estimate the attitude angles and angular velocities. As a reference directions for algebraic method, the unit vectors toward the Sun and Earth's Magnetic Field are used. The Euler angles produced 2-vector algorithm and their error variances are provided as input to the EKF. Then the EKF uses this attitude information as the measurements for providing more accurate attitude estimates even when the satellite is in eclipse. The 'attitude angle error covariance matrix' calculated for the estimations of the algebraic method are regarded as the measurement noise covariance for the EKF. The parameters of satellite's rotational motion (Euler angles and angular velocities) are estimated using EKF. In comparison to more traditional approaches, this preprocessing step significantly reduces the complexity of filter design by allowing the use of linear measurement equations.

KW - angular velocity

KW - attitude determination

KW - estimation

KW - extended Kalman filter

KW - magnetometer

KW - small satellite

KW - sun sensor

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BT - RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies

A2 - Unal, M. Fevzi

A2 - Basturk, Suleyman

A2 - Kaynak, Okyay

A2 - Hacioglu, Abdurrahman

A2 - Ince, Fuat

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Conference on Recent Advances in Space Technologies, RAST 2015

Y2 - 16 June 2015 through 19 June 2015

ER -

Hajiyev C, Conguroglu ES. Integration of algebraic method and EKF for attitude determination of small information satellites. In Unal MF, Basturk S, Kaynak O, Hacioglu A, Ince F, editors, RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies. Institute of Electrical and Electronics Engineers Inc. 2015. p. 719-724. 7208435. (RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies). doi: 10.1109/RAST.2015.7208435

Integration of algebraic method and EKF for attitude determination of small information satellites

Abstract

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Keywords

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