Abstract
A pressure control solenoid valve (PCSV), which is a sophisticated combination with mechanical characteristics, hydraulic characteristics and electromagnetic characteristics, is studied in this paper. And an identifier is developed for identifying its pressure control model. For obtaining the input and output data of valve, its model is established by AMESIM. MATLAB is utilized to develop the identifier with genetic algorithm-back propagation (GA-BP) neural network to process the data from AMESIM. Simulation is implemented to verify the effect of the designed identifier by choosing proper parameters. In the end, results demonstrate that the identifier designed here can identify pressure control model of the PVSV with high speed and accuracy.
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