What is it about?
Residual magnetic moment (RMM) is dominant disturbance source for small satellites. In this publication we propose an estimator to accurately estimate the time-varying RMM terms. The traditional Kalman filter is adapted for both agility and accuracy.
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Why is it important?
Residual Magnetic Moment (RMM) estimation is important for increasing the attitude pointing accuracy in small satellite applications. Time-variation of the RMM is considered in this study. A new adaptation procedure is presented for the Kalman filter for increasing filter's accuracy in steady state and agility when the estimated parameters change.
Perspectives
Residual magnetic moment estimation is a problem that reserachers on small satellite attitude determination and control algorithms should consider. In this paper we present a unique way for RMM estimation.
Dr Halil Ersin Soken
Japan Aerospace Exploration Agency
Read the Original
This page is a summary of: In-orbit estimation of time-varying residual magnetic moment, IEEE Transactions on Aerospace and Electronic Systems, October 2014, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/taes.2014.130225.
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