The present invention discloses a method for channel decoupling of a whole-roller flatness meter for a cold-rolled strip. The method includes the following steps: 1, setting a channel number and a channel breadth of the flatness meter; 2, obtaining an influence matrix under the condition of coupled channels; 3, calculating an inverse matrix of the influence matrix; 4, decoupling the channel by the inverse matrix of the influence matrix; and 5, obtaining flatness distribution after channel decoupling. The present invention decouples the channel of the whole-roller flatness meter by inverting the influence matrix and multiplying with the detection force vector. The present invention reproduces the true force vector and flatness distribution, and provides a new method for improving the flatness detection accuracy.

A metal strip is rolled in a roll stand and a control device for the roll stand determines, by means of a working cycle, a number of manipulated variables for flatness actuators of the roll stand and actuates them accordingly. The control device implements an optimizer, which provisionally sets the current correction values, and determines a totality of flatness values. Then, the optimizer minimizes the relationship by varying the current correction variables. When determining the current correction variables (s), the optimizer considers linear ancillary conditions, based at least in part on a vector having the ancillary conditions upheld by the current correction values and a vector having the ancillary conditions upheld by the difference of the current correction values relative to the correction values of the preceding working cycle. The control device determines the manipulated variables for the flatness actuators in consideration of the determined current correction variables.

A method for tuning flatness control for rolling a strip in a mill including rolls controllable by means of a plurality of actuators, which mill is modeled by means of a mill matrix. The method includes: a) obtaining an equivalent movement range for each actuator, b) determining a scaled mill matrix by scaling the mill matrix based on the equivalent movement ranges, and c) obtaining a singular value decomposition of the scaled mill matrix for providing flatness control of the strip by means of the actuators. A computer program and a control system for carrying out the above method are also presented herein.

A method for tuning flatness control for rolling a strip in a mill including rolls controllable by means of a plurality of actuators, which mill is modeled by means of a mill matrix. The method includes: a) obtaining an equivalent movement range for each actuator, b) determining a scaled mill matrix by scaling the mill matrix based on the equivalent movement ranges, and c) obtaining a singular value decomposition of the scaled mill matrix for providing flatness control of the strip by means of the actuators. A computer program and a control system for carrying out the above method are also presented herein.

In a decision control device of a control system, a predetermined pass schedule is decided by adjusting the rolling force per unit width at a last stand of a hot finishing tandem rolling mill to cause the edge profile on the outlet side of the last stand to fall within an allowable range based on the relationship between a strip crown and the edge profile on the outlet side of the last stand with respect to the rolling force per unit width and a strip shape control parameter, obtained regarding the last stand, and adjusting the strip shape control parameter of the last stand to cause the strip shape on the outlet side of the last stand to fall within an allowable range and cause the strip crown to become a predetermined value or smaller.

In a decision control device of a control system, a predetermined pass schedule is decided by adjusting the rolling force per unit width at a last stand of a hot finishing tandem rolling mill to cause the edge profile on the outlet side of the last stand to fall within an allowable range based on the relationship between a strip crown and the edge profile on the outlet side of the last stand with respect to the rolling force per unit width and a strip shape control parameter, obtained regarding the last stand, and adjusting the strip shape control parameter of the last stand to cause the strip shape on the outlet side of the last stand to fall within an allowable range and cause the strip crown to become a predetermined value or smaller.

A model (8) is based on mathematical-physical equations. The model models the production of a particular output product (1) from at least one input product (2) supplied in each case to an installation in the raw materials industry on the basis of operation (B) of the installation. During production of the output products (1), the installation is controlled by a control device (5) in such a manner that particular actual operation (B) of the installation corresponds as far as possible to particular desired operation (B*) of the installation. The desired operation (B*) is determined by the control device (5) using the model (8) of the installation. The model (8) is parameterized according to a number of first model parameters (P1) for the purpose of modelling the installation. After a multiplicity of output products (1) have been produced in each case, actual sizes (A) of the output products (1) in the particular multiplicity are compared with expected sizes (A) of the output products (1) in the particular multiplicity. On the basis of the comparison, the first model parameters (P1) are newly determined and the model (8) in the control device (5) is newly parameterized according to the new values of the first model parameters (P1). After this time, the desired operation (B*) is determined by the control device (5) using the newly parameterized model (8) of the installation in the raw materials industry. The expected sizes (A) are determined by means of the model (8), wherein the determination of the expected sizes (A) is based on the actual operation (B) of the installation.

A model (8) is based on mathematical-physical equations. The model models the production of a particular output product (1) from at least one input product (2) supplied in each case to an installation in the raw materials industry on the basis of operation (B) of the installation. During production of the output products (1), the installation is controlled by a control device (5) in such a manner that particular actual operation (B) of the installation corresponds as far as possible to particular desired operation (B*) of the installation. The desired operation (B*) is determined by the control device (5) using the model (8) of the installation. The model (8) is parameterized according to a number of first model parameters (P1) for the purpose of modelling the installation. After a multiplicity of output products (1) have been produced in each case, actual sizes (A) of the output products (1) in the particular multiplicity are compared with expected sizes (A) of the output products (1) in the particular multiplicity. On the basis of the comparison, the first model parameters (P1) are newly determined and the model (8) in the control device (5) is newly parameterized according to the new values of the first model parameters (P1). After this time, the desired operation (B*) is determined by the control device (5) using the newly parameterized model (8) of the installation in the raw materials industry. The expected sizes (A) are determined by means of the model (8), wherein the determination of the expected sizes (A) is based on the actual operation (B) of the installation.

A method for producing metal strip in a rolling mill, so that as a result of a more accurate manufacturing of metal strips in the future, a more precise forecasting of the profile contour of the metal strip can be obtained over the width of the metal strip, as well as a more precise setting of the profile actuator of the rolling mill. A forecast value is calculated for the profile contour within the context of the simulation of the rolling process before the rolling of the metal strip. In contrast to that, the calculation in the simulation is not conducted prior to the rolling, but instead it is obtained by a post-calculation after the rolling of the metal strip has been carried out.

A method for producing metal strip in a rolling mill, so that as a result of a more accurate manufacturing of metal strips in the future, a more precise forecasting of the profile contour of the metal strip can be obtained over the width of the metal strip, as well as a more precise setting of the profile actuator of the rolling mill. A forecast value is calculated for the profile contour within the context of the simulation of the rolling process before the rolling of the metal strip. In contrast to that, the calculation in the simulation is not conducted prior to the rolling, but instead it is obtained by a post-calculation after the rolling of the metal strip has been carried out.