An Optimized Triad Algorithm for Attitude Determination

Xiaoning Zhu; Ming Ma; Defu Cheng; Zhijian Zhou

doi:10.1515/arsa-2017-0005

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An Optimized Triad Algorithm for Attitude Determination

Artificial Satellites

Volume 52 (2017): Issue 3 (September 2017)

By: Xiaoning Zhu, Ming Ma, Defu Cheng and Zhijian Zhou

Open Access

|Sep 2017

Abstract

The classic TRIAD was used to obtain the attitude of air vehicles. However, the accuracy was dominated by the sensor noise and the calculation order. To improve that in this paper, a new method based on weighting the vectors summation and difference was proposed. Then both simulation and experiment verified the advantages of the optimized algorithm.

References

[1] Shuster M D, S. D. O H. Three-axis attitude determination from vector observations. Journal of Guidance Control & Dynamics, 1981, 4(1). 10.2514/3.19717
Search in Google Scholar Back to article
[2] Han, K., Wang, H., & Jin, Z. H. (2010). Magnetometer-only linear attitude estimation for bias momentum pico-satellite. Journal of Zhejiang University-SCIENCE A, 11(6), 455-464.10.1631/jzus.A0900725
Open DOI Search in Google Scholar Back to article
[3] Van, d. H. J. C. (2009). Progress in satellite attitude determination and control. Transactions of the Japan Society for Aeronautical & Space Sciences Space Technology Japan, 57(666), 191-198.
Search in Google Scholar Back to article
[4] Çelik, O., & Hajiyev, C. (2013). A comparison of attitude determination methods for small satellites. International Conference on Recent Advances in Space Technologies (pp.261-264). IEEE.
Search in Google Scholar Back to article
[5] Song, L. L., Zhang, T., Liang, B., & Yang, J. (2010). Attitude determination method based on star sensor. Journal of System Simulation.
Search in Google Scholar Back to article
[6] Marina, H. G. D., Pereda, F. J., Giron-Sierra, J. M., & Espinosa, F. (2016). UAV attitude estimation using unscented Kalman filter and triad. IEEE Transactions on Industrial Electronics, 59(11), 4465-4474.10.1109/TIE.2011.2163913
Search in Google Scholar Back to article
[7] Li, Y. and Yuan, J. (2005). Attitude determination using GPS vector observations, GNSS World of China 33(3): 51-56.
Search in Google Scholar Back to article
[8] Junior, F. G., & Tosin, M. C. (2007). The attitude determination problem from two reference vectors - a description of the triad algorithm and its attitude covariance matrix. Semina : Ciências Exatas e Tecnológicas, 28(1).
Search in Google Scholar Back to article
[9] Ryzhkov, L. M., Ozhoh, M. V., & Prokopovych, O. V. (2014). Analysis of attitude determination algorithm TRIAD errors. IEEE, International Conference on Methods and Systems of Navigation and Motion Control (pp.176-181). IEEE.10.1109/MSNMC.2014.6979763
Search in Google Scholar Back to article
[10] Hao, C., & Tan, J. B. (2008). Improved triad algorithm for spacecraft attitude determination. Journal of System Simulation.
Search in Google Scholar Back to article
[11] Markley, F. L. (2008). Optimal attitude matrix from two vector measurements. Journal of Guidance Control & Dynamics, 31(3), 765-768.10.2514/1.35597
Search in Google Scholar Back to article
[12] Cordeiro, T. F. K., Costa, J. P. C. L. D., Júnior, R. T. D. S., So, H. C., & Borges, G. A. (2016). Improved kalman-based attitude estimation framework for uavs via an antenna array. Digital Signal Processing, 59, 49-65.10.1016/j.dsp.2016.07.006
Open DOI Search in Google Scholar Back to article
[13] Hadri, A. E., Benziane, L., Seba, A., & Benallegue, A. (2016). Sensors model based data fusion using complementary filters for attitude estimation and stabilization. IEEE International Conference on Robotics and Automation (pp.2978-2983). IEEE.10.1109/ICRA.2016.7487463
Search in Google Scholar Back to article
[14] Vetrella, A. R., Fasano, G., Accardo, D., & Moccia, A. (2016). Differential GNSS and vision-based tracking to improve navigation performance in cooperative multi-uav systems. Sensors, 16(12).10.3390/s16122164519114327999318
Search in Google Scholar Back to article
[15] Wang, Y., Chang-Siu, E., Brown, M., Tomizuka, M., Almajed, M. I., & Alsuwaidan, B. N. (2012). Three Dimensional Attitude Estimation via the Triad Algorithm and a Time- Varying Complementary Filter. ASME 2012, Dynamic Systems and Control Conference Joint with the Jsme 2012, Motion and Vibration Conference (pp.157-165).10.1115/DSCC2012-MOVIC2012-8512
Search in Google Scholar Back to article
[16] Wang, Y. (2015). Attitude control and estimation. Dissertations & Theses - Gradworks.
Search in Google Scholar Back to article
[17] Baritzhack, I. Y., & Harman, R. R. (1997). Optimized triad algorithm for attitude determination. Journal of Guidance Control & Dynamics, 20(1), 208-211.10.2514/2.4025
Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.1515/arsa-2017-0005 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859

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Language: English

Page range: 41 - 47

Submitted on: Mar 2, 2017

Accepted on: Jul 7, 2017

Published on: Sep 23, 2017

Published by: Polish Academy of Sciences, Space Research Centre

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Related subjects:

Geosciences,

Geosciences, other

© 2017 Xiaoning Zhu, Ming Ma, Defu Cheng, Zhijian Zhou, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 52 (2017): Issue 3 (September 2017)