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ABSTRACT

Averaging TRIAD Algorithm for attitude determination

by Dong-Hoon Kim1, Sang-Wook Lee1, Dong-Ik Cheon1, Hwa-Suk Oh1

Korea Aerospace University, Goyang, 412-791, KOREA (Tel: +82-2-3159-0147; E-mail:aerospace38@kau.ac.kr)

The International Conference on Computational & Experimental Engineering and Sciences 2009, 11(2), 33-34. https://doi.org/10.3970/icces.2009.011.033

Abstract

In general, accurate attitude information is essential to perform the mission. Two algorithms are well-known to determine the attitude through two or more vector observations. One is deterministic method such as TRIAD algorithm, the other is optimal method such as QUEST algorithm. This paper suggests the idea to improve performance of the TRIAD algorithm and to determine the attitude by combination of different sensors. First, we change the attitude matrix to Euler angle instead of using orthogonalization method and also use covariance in place of variance, then apply an unbiased minimum variance formula for more accurate solutions. We also suggest the methodology to determine the attitude when more than two measurements are given. The performance of the Averaging TRIAD algorithm upon the combination of different sensors is analyzed by numerical simulation in terms of standard deviation and probability.

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Cite This Article

APA Style
Kim, D., Lee, S., Cheon, D., Oh, H. (2009). Averaging TRIAD algorithm for attitude determination. The International Conference on Computational & Experimental Engineering and Sciences, 11(2), 33-34. https://doi.org/10.3970/icces.2009.011.033
Vancouver Style
Kim D, Lee S, Cheon D, Oh H. Averaging TRIAD algorithm for attitude determination. Int Conf Comput Exp Eng Sciences . 2009;11(2):33-34 https://doi.org/10.3970/icces.2009.011.033
IEEE Style
D. Kim, S. Lee, D. Cheon, and H. Oh, “Averaging TRIAD Algorithm for attitude determination,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 11, no. 2, pp. 33-34, 2009. https://doi.org/10.3970/icces.2009.011.033



cc Copyright © 2009 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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