The Application of Improved Extended Kalman Filter Algorithm in Satellite Attitude Determination

DOI

10.2991/wartia-16.2016.277How to use a DOI?

Keywords

Attitude Determination, GEKF Algorithm, Error Consistency, Gyro Drift

Abstract

The classical MEKF algorithm represent the estimation error vector in the estimated attitude coordinates, without considering the deviation between the estimated attitude coordinate and the true attitude coordinate. GEKF algorithm used geometric transform introduced error consistent representation method, which solve the error vector representation inconsistency problem caused by the deviation. But the GEKF algorithm only consider the gyro’s constant drift, without considering the time related drift of gyro. To solve this problem, this paper proposes an IGEKF algorithm, the algorithm extended state variable dimensions, using the IGEKF algorithm to estimate the gyro constant drift and time related drift. Simulation results show that the IGEKF algorithm for estimation of gyro drift is more accurate than the GEKF algorithm, the filtering precision has improved more than GEKF algorithm.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dan Jiang
AU  - XinPu Deng
AU  - Jing Wu
AU  - Shaowen Mo
AU  - Yuanyuan Yang
PY  - 2016/05
DA  - 2016/05
TI  - The Application of Improved Extended Kalman Filter Algorithm in Satellite Attitude Determination
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1328
EP  - 1337
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.277
DO  - 10.2991/wartia-16.2016.277
ID  - Jiang2016/05
ER  -