A feed-forward optimization control method for coating thickness in galvanizing production line
A technology of feed-forward control and coating thickness, applied in coating, hot-dip coating process, metal material coating process, etc., can solve the problems of long transition time for product specification changes, inability to guarantee coating thickness, and low control accuracy. Ensure the horizontal uniformity, reduce the generation of unqualified products, and improve the effect of control accuracy
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[0050] In order for those skilled in the art to further understand the features and technical content of the present invention, please refer to the following detailed description and accompanying drawings of the present invention.
[0051] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.
[0052] The meaning of each symbol described in the present invention is referring to the following table:
[0053]
[0054] Such as figure 1 As shown, the control system is mainly composed of the coating thickness neural network prediction module, the control variable multi-objective optimization module, the coating thickness setting value preset module, the air knife height feedforward setting module, and the air knife distance distribution module. Partial composition.
[0055] Ⅰ in the figure represents the coating thickness neural network prediction module, which is a neural network prediction model estab...
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