Neural Network PID Control Application of Hydraulic position Servo System for Precision Improvement

2014 ◽  
Author(s):  
Lihua Liang ◽  
Mingxiao Sun ◽  
Songtao Zhang ◽  
Yu Wen ◽  
Peng` Zhao ◽  
...  
2010 ◽  
Vol 40-41 ◽  
pp. 65-70 ◽  
Author(s):  
Jing Luo ◽  
Rui Bo Yuan ◽  
Yu Bi Yuan ◽  
Shao Nan Ba ◽  
Zong Cheng Zhang

Through analysis and comparison of simple PID control and RBF neural network-PID hybrid control of the pneumatic servo system, then compared the stability and quick response under the two control system. Concluded that RBF neural network-PID hybrid control has better stability and fast response than the simple PID control.


2014 ◽  
Vol 599-601 ◽  
pp. 827-830 ◽  
Author(s):  
Wei Tian ◽  
Yi Zhun Peng ◽  
Pan Wang ◽  
Xiao Yu Wang

Taking the temperature control of a refrigerated space as example, this paper designs a controller which is based on traditional PID operation and BP neural network algorithm. It has better steady-state precision and adaptive ability. Firstly, the article introduces the concepts of the refrigerated space, PID and BP algorithm. Then, the temperature control of refrigerated space is simulated in MATLAB. The PID parameters will be adjusted by simulation in BP Neural Network. The PID control parameters could be created real-time online, which makes the controller performance best.


2013 ◽  
Vol 9 (3) ◽  
pp. 40 ◽  
Author(s):  
Zheng Jianming ◽  
Xiao Min ◽  
Yang Mingshun ◽  
Li Yan ◽  
Kong Lingfei

Sign in / Sign up

Export Citation Format

Share Document