L.C.G. DeSouza1
The International Conference on Computational & Experimental Engineering and Sciences, Vol.5, No.3, pp. 163-172, 2008, DOI:10.3970/icces.2008.005.163
Abstract Satellite Attitude Control System usually does not have all the states available for feedback; therefore, full state estimation by any sort of filtering methodology becomes essential. A good estimation algorithm must filter out the undesirable noise from the measurement signal. Kalman Filter (KF) technique is a traditional procedure to estimate the states of a linear system that are not always measured directly by the sensors, minimizing the variance of the estimated error. However, the KF is not fully robustness proven in face of unpredictable noise sources and it is not always able to minimize the error under severe conditions. In… More >
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