DocumentCode :
2281070
Title :
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
Link To Document :
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