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Attitude determination of spacecraft using FOAM and Kalman filtering

Publication Type : Journal Article

Publisher : International Journal of Applied Engineering Research

Source : International Journal of Applied Engineering Research, Research India Publications, Volume 9, Number 14, p.2733-2744 (2014)

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84901236298&partnerID=40&md5=7b98feac3111f7b1965b65bf2a4e3ee5

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2014

Abstract : pThe 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 [12]. 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

Cite this Research Publication : D. G. Shree, Singh, V., Dai, B. K., and R. Sunitha, “Attitude determination of spacecraft using FOAM and Kalman filtering”, International Journal of Applied Engineering Research, vol. 9, pp. 2733-2744, 2014.

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