REKF and RUKF for pico satellite attitude estimation in the presence of measurement faults

Soeken H. E., Hacızade C.

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, cilt.25, sa.2, ss.288-297, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 2
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1109/jsee.2014.00033
  • Dergi Adı: JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.288-297
  • Anahtar Kelimeler: pico satellite, attitude estimation, robust Kalman filtering, extended Kalman filter (EKF), unscented Kalman filter (UKF)
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

When a pico satellite is under normal operational conditions, whether it is extended or unscented, a conventional Kalman filter gives sufficiently good estimation results. However, if the measurements are not reliable because of any kind of malfunctions in the estimation system, the Kalman filter gives inaccurate results and diverges by time. This study compares two different robust Kalman filtering algorithms, robust extended Kalman filter (REKF) and robust unscented Kalman filter (RUKF), for the case of measurement malfunctions. In both filters, by the use of defined variables named as the measurement noise scale factor, the faulty measurements are taken into the consideration with a small weight, and the estimations are corrected without affecting the characteristic of the accurate ones. The proposed robust Kalman filters are applied for the attitude estimation process of a pico satellite, and the results are compared.