Model of neutral network sliding design by large envelope flight control law

DOI

10.2991/eeeis-16.2017.98How to use a DOI?

Keywords

Adaptive Control; Nonlinear Control; Sliding Model Control.

Abstract

In this paper, the neural network sliding mode control design method is studied for the large enveloping flight control law of the model with very different flight parameters. The neural network theory is used to approximate the nonlinear system and eliminate the errors brought by the approximate inversion, and the residual error is solved by sliding model control. Therefore, the nonlinear model can be approximated accurately and the robustness and anti-jamming ability of the flight control system can be improved. The simulation results show that the design of the neural network - sliding model large envelope flight controller has excellent control performance.

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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TY  - CONF
AU  - Wei-Lun Chen
AU  - Gong-Cai Xin
PY  - 2016/12
DA  - 2016/12
TI  - Model of neutral network sliding design by large envelope flight control law
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 793
EP  - 799
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.98
DO  - 10.2991/eeeis-16.2017.98
ID  - Chen2016/12
ER  -