The Design of Electro-hydraulic Servo System Based on Neural Network PID

Author

Sun Yi-ping ; Dong Xue-Ren ; Ma Yu-Zhen ; Ma Jing-rui

Author_Institution

Univ. of Jinan, Jinan, China

Volume

3

fYear

2010

fDate

13-14 March 2010

Firstpage

841

Lastpage

843

Abstract

For the characteristics of electro-hydraulic servo system such as non-linear and time change, a new type of PID controller based on neural network is presented in this paper. The hardware uses TMS320LF2407 DSP chips as the main processor. The software uses neural network PID controlling algorithm. And focuses on the design of neural network PID control. The simulation for neural network PID control algorithm by using the Matlab shows that the controlling algorithm has significant effect in improving static and dynamic characteristics of the system.

Keywords

digital signal processing chips; electrohydraulic control equipment; neurocontrollers; servomechanisms; three-term control; Matlab; PID controlling algorithm; TMS320LF2407 DSP chips; electro-hydraulic servo system design; neural network; Automatic control; Communication system control; Control systems; Digital control; Hardware; Neural networks; Nonlinear control systems; Process control; Servomechanisms; Three-term control; DSP; Hydraulic servo control; Neural Network PID;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.85

Filename

5458782