Applied of RBF Neural Network in Pressure and Flow Control System

Fei Wang; Xiao Hua  Sun; Zhi Jun Zou; Hao Li

doi:10.4028/www.scientific.net/AMM.713-715.909

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Applied of RBF Neural Network in Pressure and Flow...

Applied of RBF Neural Network in Pressure and Flow Control System

Abstract:

This paper is addressed water pipe pressure control method, chose a water pipe with bypass valve as an object. The paper made the pressure and flow control of the object a mathematic model. This paper design a PID control algorithm which base on RBF neural network to control the pressure and flow of the object, and simulate the control process both RBF neural network PID algorithm and PID algorithm. The last part of the paper contrasts the two simulation result.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

909-914

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.909

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Online since:

January 2015

Authors:

Fei Wang*, Xiao Hua Sun, Zhi Jun Zou, Hao Li

Keywords:

Decouplling, PID, Pipe Pressure Control, RBF Neural Network

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* - Corresponding Author

References

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