A Control Method of the Force Loading Electro-hydraulic Servo System Based on BRF

DOI

10.2991/ame-16.2016.142How to use a DOI?

Keywords

Electro-hydraulic Servo System, Nonlinear, RBF Neural Network.

Abstract

The paper proposed a control method based on the electro-hydraulic servo loading system used on the bearing test rig for aircraft engine. Aiming at the nonlinear problem of the system, a control method is designed based on RBF neural network. This method uses the BRF algorithm of neural network on the online adjustment and correction of the PID parameters. Through the simulation, we compare the control effect of classic PID and RBF tuning. Results show that the BRF algorithm has high robustness, adaptive. Its track performance and adaptive control capacity are superior to the classic PID control.

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/).

Download article (PDF)

TY  - CONF
AU  - Jing-Wen Fang
AU  - Ji-Shun Li
AU  - Fang Yang
AU  - Yu-Jun Xue
PY  - 2016/06
DA  - 2016/06
TI  - A Control Method of the Force Loading Electro-hydraulic Servo System Based on BRF
BT  - Proceedings of the 2nd Annual International Conference on Advanced Material Engineering (AME 2016)
PB  - Atlantis Press
SP  - 871
EP  - 876
SN  - 2352-5401
UR  - https://doi.org/10.2991/ame-16.2016.142
DO  - 10.2991/ame-16.2016.142
ID  - Fang2016/06
ER  -