Pneumatic Proportional Position Control System Based on BP Neural Networks

Abstract:

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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 et al., "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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Price:

$35.00

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