Attitude Control System Design of UAV

DOI

10.2991/nceece-15.2016.136How to use a DOI?

Keywords

Nonlinear; ANNs; Predict Model; Attitude Control; Simulation.

Abstract

Based on the characteristics of the attitude control system, this paper use the neural network predictive model controller which can identify accurately attitude system and obtain real-time control sequence applied to the controlled object through the model prediction, feedback correction and rolling optimization each link to complete motion attitude control of unmanned aerial vehicle. This control system has good control effect, meanwhile, the fast, accuracy and anti-disturbance capability tracking a given process can be effectively improved.

Copyright

© 2016, 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  - Guo Li
AU  - Xiaoliang Lv
AU  - Yongqing Zeng
PY  - 2015/12
DA  - 2015/12
TI  - Attitude Control System Design of UAV
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 735
EP  - 739
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.136
DO  - 10.2991/nceece-15.2016.136
ID  - Li2015/12
ER  -