Application of Improved Adaptive UKF Algorithm on Aircraft Attitude Estimation System
Authors
Jun-hui Zheng, Fei-fei Ning
Corresponding Author
Jun-hui Zheng
Available Online April 2015.
- DOI
- 10.2991/isrme-15.2015.203How to use a DOI?
- Keywords
- Adaptive; UKF; aircraft attitude estimation; estimation accuracy
- Abstract
For the problem of aircraft attitude estimation system, Unscented Kalman Filter (UKF) algorithm is easy to be disturbed. Therefore, an improved adaptive UKF algorithm which can overcome disturbance well by introducing adaptive factors to adjust the state gain matrix is proposed in this paper. The simulation results show the effectiveness of the proposed algorithm.
- Copyright
- © 2015, 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 - Jun-hui Zheng AU - Fei-fei Ning PY - 2015/04 DA - 2015/04 TI - Application of Improved Adaptive UKF Algorithm on Aircraft Attitude Estimation System BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 976 EP - 979 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.203 DO - 10.2991/isrme-15.2015.203 ID - Zheng2015/04 ER -