Research on the Identification Method and Modeling of Unmanned Aerial Vehicle based on Neural Network

DOI

10.2991/snce-18.2018.219How to use a DOI?

Keywords

Identification method; Unmanned aerial vehicle; Neural network; Linear model

Abstract

Because of its unique system features, it is very difficult for small rotor UAVs to be modeled. In this paper, the method of unmanned aerial vehicle modeling is summarized in detail. In order to achieve a good control effect, the accuracy of the model is very important for the design and verification of the control law. In this paper, the linear model and nonlinear model identification method and identification algorithm of unmanned aerial vehicle are proposed. The simulation results show that the attitude control precision is improved effectively.

Copyright

© 2018, 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  - Yang Zhao
AU  - Li Li
PY  - 2018/05
DA  - 2018/05
TI  - Research on the Identification Method and Modeling of Unmanned Aerial Vehicle based on Neural Network
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 1057
EP  - 1061
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.219
DO  - 10.2991/snce-18.2018.219
ID  - Zhao2018/05
ER  -