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

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings of 8th International Conference on Recent Advances in Space Technologies, RAST 2017
EditörlerM.F. Unal, A. Hacioglu, M.S. Yildiz, O. Altan, M. Yorukoglu
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar381-386
Sayfa sayısı6
ISBN (Elektronik)9781538616031
DOI'lar
Yayın durumuYayınlandı - 4 Ağu 2017
Etkinlik8th International Conference on Recent Advances in Space Technologies, RAST 2017 - Istanbul, Turkey
Süre: 19 Haz 201722 Haz 2017

Yayın serisi

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

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???event.eventtypes.event.conference???8th International Conference on Recent Advances in Space Technologies, RAST 2017
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot19/06/1722/06/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

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