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

被引：0
|
作者：
Fang, Jing-Wen [1 ]
Li, Ji-Shun [1 ,2 ]
Yang, Fang [1 ]
Xue, Yu-Jun [2 ]
机构：
[1] Henan Univ Sci & Technol, Coll Mechatron Engn, Luoyang 471003, Peoples R China
[2] Henan Univ Sci & Technol, Henan Key Lab Machinery Design & Transmiss Syst, Luoyang 471003, Peoples R China
来源：
PROCEEDINGS OF THE 2ND ANNUAL INTERNATIONAL CONFERENCE ON ADVANCED MATERIAL ENGINEERING (AME 2016) | 2016年 / 85卷
关键词：
Electro-hydraulic Servo System; Nonlinear; RBF Neural Network;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：871 / 876
页数：6
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