METHOD FOR LEARNING-CONTROLLING ROLLING LOAD IN ROLLING MILL

PROBLEM TO BE SOLVED: To obtain a rolling load learning-control technique by separating a learning factor decided with a rolling load actual value and a rolling load model calculated value into the components learning an intrinsic error of the rolling material and an error with change in the lapse of time of a rolling mill, reflecting the results individu ally learning both components on the learning factor and predicting the rolling load in the next time. SOLUTION: In order to learn by separating the error of the rolling load model into the intrinsic component of the rolling material corresponding to deforming resistance and the changing component in the lapse of time corresponding to friction coefficient at the rolling mill side, two of the first and the second learning factors are used. The first learning factor Zpk uses the different value in prefixed each kind group of steel because the deforming resistance is different in the kind of steel, and uses the different value in each stand, too. The second learning factor Zpm uses the different value in each rolling pattern dividing rolling material into the thick product and the thin product, and in each stand because the friction coefficient is affected by the roll characteristic and the rolling oil characteristic. The setting of the rolling load P is predicted with P=Zpk .Zpm .Po in the case of using Po for rolling load model calculating value.