Paper Title:
The Design of Constant-Flow Bump Control System Based on BP Neural Network
  Abstract

The advantages and disadvantages of the current constant-flow control method for the constant-flow pump (CFP) are analyzed. By using the experimental data and the BP neural network (BPNN), the model between outlet pressure and flow loss coefficient established. In order to realize constant-flow control for the CFP, a feed-forward controller based on the model is set up finally. Experiments show that this controller can improve the flow control accuracy for the CFP greatly.

  Info
Periodical
Chapter
Chapter 7: Design and Practice
Edited by
Zhixiang Hou
Pages
1472-1475
DOI
10.4028/www.scientific.net/AMM.128-129.1472
Citation
Z. P. Wu, Y. B. Chen, "The Design of Constant-Flow Bump Control System Based on BP Neural Network", Applied Mechanics and Materials, Vols. 128-129, pp. 1472-1475, 2012
Online since
October 2011
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Price
$32.00
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