<p>The attitude determination of a spacecraft has attracted the attention of many researchers over the years. Attitude determination is a crucial part in implementation of reliable control systems for spacecraft. Attitude determination algorithms are broadly classified into two classes, deterministic algorithms and recursive estimation algorithms . This paper aims to advantageously combine these two algorithms FOAM (a deterministic algorithm) and Kalman filtering (a recursive estimation algorithm) to give a more accurate estimate of spacecraft attitude by overcoming inherent sensor errors. © Research India Publications.</p>
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GaDeeptha Shree, Singh, Va, Dai, B. Kb, and Sunitha, Ra, “Attitude determination of spacecraft using FOAM and Kalman filtering”, International Journal of Applied Engineering Research, vol. 9, pp. 2733-2744, 2014.