Method for optimizing regulating and controlling efficiency coefficient of board shape controlling actuator of cold rolling mill

Abstract

The invention discloses a method for optimizing the regulating and controlling efficiency coefficient of a board shape controlling actuator of a cold rolling mill, which comprises the following steps of: building a board shape regulating and controlling power coefficient priori value table under different rolling work points, wherein in the table, one set of band steel width value and a rolling force value correspond to one rolling work point; defining a boundary work point of the table according to the position of the practical rolling work point in the table; setting a weight factor according to the similarity level between a boundary work point parameter and a practical rolling work point parameter; and stacking the priori power coefficient of a boundary point in a weighting way to obtain the board shape regulating and controlling power coefficient under the practical rolling work point. By continuously improving the precision of the board shape regulating and controlling power coefficient with the on-line self-studying model and the practically-tested board shape data, the method can obtain the precise regulating and controlling power coefficient of a board shape adjusting mechanism, applies the precise regulating and controlling power coefficient into a closed-loop board shape control system, and has higher board shape controlling precision.

Description

technical field [0001] The invention belongs to the field of cold-rolled steel strips, and is suitable for a self-learning optimization method for the efficiency coefficient of a shape control mechanism of a cold-rolling mill. Background technique [0002] Modern high-tech strip steel cold rolling mills usually have a variety of strip shape adjustment means, such as reduction inclination, roll bending, roll traverse and so on. In practical applications, it is necessary to comprehensively use various plate shape adjustment methods, and achieve the purpose of eliminating deviations through the mutual cooperation of adjustment effects. Therefore, the premise of flatness control is the correct understanding of the performance of various flatness adjustment means. With the advancement of engineering calculation and testing methods, it is possible to describe the performance of rolling mills by regulating the utility function. As the basis of the closed-loop flatness control sys...

AI Technical Summary

Problems solved by technology

At present, the efficiency coefficient of strip shape control is basically determined by two methods: finite element simulation calculation and rolling mill experiment. Since the influence of each strip shape adjustment mechanism on the strip shape is very complicated, and they affect each other, it is difficult to use the traditional roll system elasticity. Deformation theory and rolling three-dimensional deformation theory to accurately solve the control efficiency coefficient of each plate shape adjustment mechanism

In the actual rolling process, the control efficiency coefficient is also affected by many rolling parameters, such as strip width, rolling force, etc. Different specifications of strip steel correspond to different intermediate roll traverse control functions, so the rolling mill experiment and offline model The calculated value cannot meet the requirements of shape control in actual production

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