Research On The Thickness Prediction Strategy Of Rolling Mill's Second Flow Based On Wave Function

Steel is the main industrial material in today's production field,it is the foundation and pillar of the national economy.Plate and strip products account for about half of the total steel output,and plate thickness accuracy is one of the most important quality indicators for plate and strip products.The automatic control technology of the strip thickness of the rolling mill is constantly improving,so that the precision of the plate thickness has been continuously improved.However,as the requirements for plate thickness accuracy in modern industries are getting higher and higher,exploring how to improve the accuracy of plate thickness control is still a leading issue in this field today.In the plate thickness control system of the rolling mill,the control of plate thickness accuracy is mainly controlled by feedback.However,due to the time lag of the feedback of the relevant detection instruments,the process of feedback control also lags in time.The second flow rate is used as an effective method to solve the lag problem in the thickness control,but the second flow rate control has problems such as inaccurate positioning.This paper hopes to establish a mathematical model to describe the change of strip thickness during rolling and combine the second flow rate to further improve the prediction accuracy of strip exit thickness.This paper analyzes the pure lag in the automatic strip thickness control system of the rolling mill,and explores the establishment of a space and time-based mathematical model of the strip thickness in the rolling process,which is called the thickness positioning wave function model.A good method of thickness control is to use as much useful information as possible.The previous mathematical models mainly describe the rolling process in time or space.The mathematical model established in this paper is based on both,which can maximize the rolling positioning information of the thickness of the strip during the manufacturing process is fully described for mathematical analysis and processing.Combined with the principle of second flow rate,so as to more accurately estimate the thickness of the strip exit.Finally,using the digital signal processor(DSP)for high-performance data processing,a verification system with a digital signal processor as the core is built,and the established thickness positioning mathematical model is transplanted into the DSP and carried out in actual working conditions,experiments were conducted to verify the feasibility of the established mathematical model.