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/).
Cite this article
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 -