Method for regulating the temperature of strip metal
View Patent ↗The invention relates to a method for controlling and regulating the temperature of a metal strip in a finishing train of a hot rolling mill. A target function is formed by comparing a desired temperature gradient with an actual temperature gradient. The target function measures deviations from desired indications positioned in various places on the finishing train. The speed of the strip and the flow of the cooling agent are adjusted by predicting with the aid of a method of non-linear optimization with auxiliary conditions and are regulated and controlled online by solving a quadratic optimization problem with linear auxiliary conditions, preferably with the aid of an active set strategy.
1. A method of controlling a temperature of strip metal processed in a finishing train of a technical installation, the method comprising:
comparing a target temperature gradient to an actual temperature gradient associated with the strip metal, the actual temperature gradient including a point temperature gradient determined for a number of individual local points of the strip metal;
determining a target function for at least one actuator having adjustment limitations, the actuator arranged in the finishing train,
the target function determination based on the target temperature gradient, the actual temperature gradient, the adjustment limitations of the actuator, and the point temperature gradient for adjusting the actuator and controlling the temperature;
adjusting the actuator based on the target function so that the actuator is controlled via a control variable corresponding to a flow of cooling agent or a flow of material in order to control the temperature; and
calculating adjusting signals for adjusting the actuator by solving an optimization problem represented by the target function and the side conditions.
2. The method according to claim 1 , wherein the optimization problem includes linear side conditions.
3. The method according to claim 2 , wherein the optimization problem is solved based on an active set strategy.
4. The method according to claim 2 , wherein the optimization problem is a quadratic optimization problem.
5. The method according to claim 1 , wherein the optimization problem is solved online.
6. The method according to claim 1 , wherein at least one of the adjusting signals is used for controlling a flow of a cooling agent.
7. The method according to claim 1 , wherein at least one of the adjusting signals is used for controlling a material flow of the strip metal through the finishing train.
8. The method according to claim 1 , wherein the adjustment limitations of the actuator are used to enable a change of the control variable.
9. A method of controlling a temperature of strip metal processed in a finishing train of a technical installation, the method comprising:
comparing a target temperature gradient to an actual temperature gradient associated with the strip metal, the actual temperature gradient including a point temperature gradient determined for a number of individual local points of the strip metal;
determining a target function for at least one actuator having adjustment limitations, the actuator arranged in the finishing train,
the target function determination based on the target temperature gradient, the actual temperature gradient, the adjustment limitations of the actuator, and the point temperature gradient for adjusting the actuator and controlling the temperature,
adjusting the actuator based on the target function so that the actuator is controlled via a control variable corresponding to a flow of cooling agent or a flow of material in order to control the temperature; and
pre-calculating an online-capable pass schedule algorithm using a non-linear optimization problem including further side conditions.
10. The method according to claim 9 , wherein the further side conditions are substantially identical to the side conditions.
11. A method of controlling a temperature of strip metal processed in a finishing train of a technical installation, the method comprising:
comparing a target temperature gradient to an actual temperature gradient associated with the strip metal, the actual temperature gradient including a point temperature gradient determined for a number of individual local points of the strip metal;
determining a target function for at least one actuator having adjustment limitations, the actuator arranged in the finishing train,
the target function determination based on the target temperature gradient, the actual temperature gradient, the adjustment limitations of the actuator, and the point temperature gradient for adjusting the actuator and controlling the temperature;
adjusting the actuator based on the target function so that the actuator is controlled via a control variable corresponding to a flow of cooling agent or a flow of material in order to control the temperature; and
pre-calculating an online-capable pass schedule algorithm using a non-linear optimization problem including further side conditions.