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Applied Mechanics and Materials, 2015-01, Vol.713-715 (Mechatronics Engineering and Modern Information Technologies in Industrial Engineering), p.909-914
Applied of RBF Neural Network in Pressure and Flow Control System
Ist Teil von
Applied Mechanics and Materials, 2015-01, Vol.713-715 (Mechatronics Engineering and Modern Information Technologies in Industrial Engineering), p.909-914
Ort / Verlag
Zurich: Trans Tech Publications Ltd
Erscheinungsjahr
2015
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
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.