Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

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/).

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Volume Title
Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/isrme-15.2015.203
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.203How to use a DOI?
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  -