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2024 | OriginalPaper | Chapter

A Covariance Matching-Based Adaptive EKF for Nanosatellite Attitude Estimation

Authors : Hasan Kinatas, Chingiz Hajiyev

Published in: Green Approaches in Sustainable Aviation

Publisher: Springer Nature Switzerland

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Abstract

The chapter explores the challenges of accurate attitude estimation in nanosatellites, particularly due to faults in attitude-related sensors. It introduces an integrated adaptive EKF that combines the TRIAD algorithm with an R-adaptive extended Kalman filter. The study focuses on covariance matching techniques using single and multiple scaling factors, and compares their performance through simulations. The results demonstrate significant improvements in attitude estimation accuracy and robustness, highlighting the superiority of multiple scaling factors over single scaling factors.

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Title: A Covariance Matching-Based Adaptive EKF for Nanosatellite Attitude Estimation
Authors: Hasan Kinatas
Chingiz Hajiyev
Publisher: Springer Nature Switzerland
Book: Green Approaches in Sustainable Aviation
Print ISBN: 978-3-031-33117-6

Electronic ISBN: 978-3-031-33118-3

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-33118-3_2

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