Open Access

ABSTRACT

Averaging TRIAD Algorithm for attitude determination

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

1 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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Keywords

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