The Design of Constant-Flow Bump Control System Based on BP Neural Network

Abstract:

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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:

Edited by:

Zhixiang Hou

Pages:

1472-1475

DOI:

10.4028/www.scientific.net/AMM.128-129.1472

Citation:

Z. P. Wu and 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:

$35.00

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