Multiple-Model Adaptive Estimation of Time-Varying Residual Magnetic Moment for Small Satellites
Advances in Aerospace Guidance, Navigation and Control, Joël Bordeneuve-Guibé,Antoine Drouin,Clément Roos, Editör, Springer, London/Berlin , Bern, ss.303-321, 2015
- Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
- Basım Tarihi: 2015
- Yayınevi: Springer, London/Berlin
- Basıldığı Şehir: Bern
- Sayfa Sayıları: ss.303-321
- Editörler: Joël Bordeneuve-Guibé,Antoine Drouin,Clément Roos, Editör
- Orta Doğu Teknik Üniversitesi Adresli: Hayır
Özet
As the satellite size gets smaller, the residual magnetic moment (RMM)
becomes the dominant attitude disturbance for the low Earth orbit
satellites. Especially for advanced space missions such as astronomical
observation, the RMM must be in-orbit estimated and compensated to
increase the attitude pointing accuracy. Classical estimators can
estimate the RMM terms accurately as long as the terms are constant.
However, if there is unmodeled changes in the RMM parameters, as
experienced for small satellite missions, then the estimations may
deteriorate for a long time until the estimator catch the new values. In
such cases the designer must sacrifice either the accuracy or the
tracking capability of the estimator. In this paper, we propose a
Multiple-Model Adaptive Estimation (MMAE) technique for the RMM
estimation. By the use of a newly defined likelihood function both the
steady state accuracy and tracking agility are secured for the
estimator.