Attitude and gyro bias estimation by SVD-aided EKF

Chingiz Hajiyev, Demet Cilden-Guler*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

This study aims to estimate both angular state and rate gyro biases for a small satellite having multiple attitude sensors. Singular value decomposition (SVD) aided Extended Kalman filter (EKF) attitude estimation algorithm is presented. They are integrated for attitude, angular rate, and gyro bias estimation. Pre-processing the measurements of the sun and magnetic field sensors in the SVD method precomputes Euler angles for EKF. The rotational motion parameters of the satellite and biases of the rate gyro are estimated during the EKF application of the method. In comparison with traditional approaches, pre-processing before EKF makes the filter less complex by having the measurements linear and inherently adaptive. Rate gyro biases are estimated in addition to rotational motion parameters in the presented filter with a high accuracy using an inherent adaptation rule of the pre-processing step. Unscented Kalman Filter in addition to traditional and adaptive versions of EKF are tested under the same conditions for their behavior in unfavorable situations.

Original languageEnglish
Article number112209
JournalMeasurement: Journal of the International Measurement Confederation
Volume205
DOIs
Publication statusPublished - Dec 2022

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd

Funding

The corresponding author is supported by Scientific Research Projects Department of Istanbul Technical University with the project number MAB-2022-44005.

FundersFunder number
Istanbul Teknik ÜniversitesiMAB-2022-44005

    Keywords

    • Attitude determination
    • EKF
    • Estimation
    • Gyro bias
    • SVD
    • Small satellite

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