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

Zheng Ping Wu; Yun Bo Chen

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129The Design of Constant-Flow Bump Control System...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

1472-1475

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.1472

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Online since:

October 2011

Authors:

Zheng Ping Wu, Yun Bo Chen

Keywords:

BP Neural Network (BPNN), Constant-Flow Pump, Feed-Forward Control

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