A load distribution method for strip hot continuous rolling

Abstract

The invention discloses a novel plate and strip hot continuous rolling load distribution method, and belongs to the technical field of controlling. According to the novel plate and strip hot continuous rolling load distribution method, off-line optimization is conducted on a multi-goal optimizing function by utilizing a hybrid particle swarm optimization algorithm to obtain a rolling force distribution coefficient of a typical strip steel layer, a load distribution initial value is obtained by combining an energy consumption distribution method and a standard reduction rate distribution method, and iteration is conducted in a rolling force distribution model by utilizing an equilibrium iteration method to achieve on-line computation. A load distribution novel method combining off-line optimization + off-line optimization + on-line control is adopted, the effectiveness of the method is verified by on-line computation and application, good convergence is achieved, the computing speed ishigh, on-line computing requirements are met, and the rolling energy consumption and plate shape control requirements are further considered.

Description

technical field [0001] The invention belongs to the technical field of control, and relates to a control method for the hot continuous rolling finish rolling process of strip steel, in particular to a load distribution method for strip hot continuous rolling. Background technique [0002] Calculation of load distribution is the core content of rolling mill continuous rolling production process. Reasonable load distribution is the basic guarantee of product thickness accuracy and shape quality, and is the premise to fully utilize the production capacity of the rolling mill, stabilize the production process, and ensure good thickness, shape and physical properties of the product. Since there are many factors affecting the rolling schedule, through the multi-objective optimization algorithm, the physical quantities of the rolling process can be considered comprehensively, and the exit thickness of each rack can be reasonably distributed under the conditions of on-site equipment...

AI Technical Summary

Problems solved by technology

Its shortcomings are that firstly, the choice of multi-objective optimization function is not comprehensive enough, and the intelligent optimization method for off-line optimization is relatively complicated, and the calculation time is long; Influence; the third is that the calculation process of the rolling force mode is cumbersome, the code is too long, and the amount of calculation is large

Images