Paper Title:
Pneumatic Proportional Position Control System Based on BP Neural Networks
  Abstract

A PID controller based on Back-propagation neural networks is presented and used to the pneumatic proportional positioning system in this paper. A proportional valve-cylinder without rod system for buffering and positioning, which is controlled by microcomputer, is designed and completed in this paper. The experimental results show that the system gains self-adaptability because of the application of this control method. And the buffering and positioning of the cylinder can be implemented under different working conditions.

  Info
Periodical
Materials Science Forum (Volumes 471-472)
Edited by
Xing Ai, Jianfeng Li and Chuanzhen Huang
Pages
528-531
DOI
10.4028/www.scientific.net/MSF.471-472.528
Citation
Y.J. Liu, X.Z. Kong, Z.W. Li, "Pneumatic Proportional Position Control System Based on BP Neural Networks", Materials Science Forum, Vols. 471-472, pp. 528-531, 2004
Online since
December 2004
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