Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)

Dynamic inversion control of UAV using ANN

Authors
Gong-Cai Xin, Wei-Lun Chen
Corresponding Author
Gong-Cai Xin
Available Online December 2016.
DOI
10.2991/eeeis-16.2017.97How to use a DOI?
Keywords
Dynamic Inversion Controller; Unmanned Aerial Vehicle (UAV); Neural Network (ANN); Single Hidden Layer (SHL).
Abstract

The paper proposes a method to design ANN dynamic inversion controller through online ANN compensating inversion error. It mainly aims at evident shortage of dynamic inversion controller of UAV. A single hidden layer ANN structure is constructed and the stability of the whole closed loop system is proved. Also the stable adjustment arithmetic of online ANN weight is proposed. The robustness, the adaptability to fault and the response capability to actuator delay time of the scheme are verified by simulation. It is also proved that the online ANN has improved the performance of dynamic inversion controller well. It has important reference value for designing advanced flight control systems of UAV.

Copyright
© 2017, 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 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/eeeis-16.2017.97
ISSN
2352-5401
DOI
10.2991/eeeis-16.2017.97How to use a DOI?
Copyright
© 2017, 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  - Gong-Cai Xin
AU  - Wei-Lun Chen
PY  - 2016/12
DA  - 2016/12
TI  - Dynamic inversion control of UAV using ANN
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 787
EP  - 792
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.97
DO  - 10.2991/eeeis-16.2017.97
ID  - Xin2016/12
ER  -