Abstract: Actual working conditions of cold rolling mill are comprehensively considered, and according to the online shape detecting principle, the stress analysis and the geometric relation of the shape meter, influence factors of online shape detecting accuracy such as the transverse temperature difference of strip, the crown of coil, the cover area of strip, the wrapping angle, the flexibility and the installation geometry errors of the detection roll are researched. Combined with the actual production, a set of online shape signal comprehensive compensation models are established to meet the requirements of industrial applications. And the online shape signal comprehensive compensation technology is successfully applied in Angang 1 250 mm 6-high cold strip mill. It ensures that the online detecting shape signal can accurately reflect the true shape status of cold rolling strip. With due consideration to the follow-up processing technology requirements, dynamic flatness standard curves are formulated according to different rolling conditions and product specifications, and reliable shape data are provided for close-loop shape control. Then the shape index and the quality stability of cold rolling strip are improved significantly, the errors between the calculated values and measured values of the total tension are less than 3%, and the shape index in steady state is within 6 I after the input of close-loop shape control.

Key words: Close-loop shape control, Cold rolling strip, Shape meter, Signal compensation, Target curve