Pneumatic Proportional Position Control System Based on BP Neural Networks

Y.J. Liu; X.Z. Kong; Z.W. Li

doi:10.4028/www.scientific.net/MSF.471-472.528

Paper Titles

Machine Vision and Data Reconstruction for Measuring Free Form Surface
p.508

Development of an Internet-Based Interactive Globoidal Indexing Cam Mechanisms Design System
p.513

Time Series Model Study on the NC Grinding Process of Isometric Polygonal Profile
p.518

Investigational Advances in Residual Stresses by Hard Turning
p.523

Pneumatic Proportional Position Control System Based on BP Neural Networks
p.528

Research on Hierarchical Design Method of Open Modular Architecture CNC System
p.532

A Combined Model of the Active Vibration Control of the Coupled Flexible System
p.537

Balancing of Tool/Toolholder Assembly for High-Speed Machining
p.542

Numeric Investigation of the Cutting Temperature Fields on the Rake Face in Orthogonal Machining
p.547

HomeMaterials Science ForumMaterials Science Forum Vols. 471-472Pneumatic Proportional Position Control System...

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.