EP1596999B1 - Procede de regulation de la temperature d'une bande metallique, en particulier dans un parcours de refroidissement - Google Patents

Procede de regulation de la temperature d'une bande metallique, en particulier dans un parcours de refroidissement Download PDF

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Publication number
EP1596999B1
EP1596999B1 EP04710798A EP04710798A EP1596999B1 EP 1596999 B1 EP1596999 B1 EP 1596999B1 EP 04710798 A EP04710798 A EP 04710798A EP 04710798 A EP04710798 A EP 04710798A EP 1596999 B1 EP1596999 B1 EP 1596999B1
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EP
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Prior art keywords
cooling
regulating
temperature
control
optimisation problem
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Expired - Lifetime
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EP04710798A
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German (de)
English (en)
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EP1596999A2 (fr
EP1596999B2 (fr
Inventor
Johannes Reinschke
Klaus Weinzierl
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Siemens AG
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Siemens AG
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Priority claimed from DE2003121792 external-priority patent/DE10321792A1/de
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B37/00Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/74Temperature control, e.g. by cooling or heating the rolls or the product

Definitions

  • the invention relates to a method for controlling and / or regulating the temperature of a metal strip in a plant of the steel industry, in particular in a cooling section, according to the preamble of claim 1.
  • Such a method is known from VS6185970 B.
  • a control method for a cooling section is known, which is preceded by a finishing train for rolling of hot metal strip.
  • band points and their initial temperatures are detected and individual setpoint temperature profiles are assigned to the detected band points.
  • the band points, their initial temperatures and their desired temperature curves are fed to a model for the cooling section.
  • the band points are tracked as they pass through the cooling section.
  • the hot strip is subjected to temperature influencing by means of temperature influencing devices.
  • the tracking and the temperature changes are also fed to the model.
  • the model determines in real time expected actual temperatures of the recorded band points and assigns them to the band points.
  • the temperature as a function of the strip thickness is available for each band point at any time. Furthermore, it determines control values for the temperature-influencing devices on the basis of the setpoint temperature profiles assigned to the detected band points and the expected actual temperatures, and supplies the control values to them.
  • the temperature control is used in particular for targeted adjustment of material and structural properties of the metal hot strip. As a rule, the temperature control is carried out in such a way that a predetermined reel temperature curve is achieved as well as possible from the outlet of the cooling section.
  • Decisive for material and structural properties of the metal strip are, in addition to the chemical composition and parameters of the forming process, such as. the acceptance distribution over the stands of the finishing scale and the temporal temperature profile of the strip material as it passes through the plant.
  • the last actuators for the temperature profile of the metal strip within the system are usually located within the cooling section. In the cooling section, the phase transformation of the material often takes place. As actuators usually serve the valves of the cooling section. For certain cooling sections, such as Heavy plate mills, in addition, the mass flow, i. in particular, the belt speed, are provided.
  • the object of the present invention is to improve the control or the regulation of the temperature of a metal strip, in particular in a cooling section, in a plant of the steel industry in such a way that the disadvantages of known controls or regulations are largely avoided and the efficiency of the control or Control is increased.
  • the object is achieved by a method for controlling and / or regulating the temperature of a metal strip in a plant of the steel industry, in particular in a cooling section, which is arranged downstream of a rolling train for rolling metal heat, wherein for determining actuating signals a desired temperature profile with an actual Temperature characteristic is compared, and wherein band points are tracked, wherein a temperature profile for individual band points is determined and wherein, taking into account side conditions at least one target function for a plurality of actuators in a control range of the system, in particular in the cooling line is formed.
  • the objective function is minimized or maximized by solving an optimization problem.
  • Such a control or regulation is also possible if a temperature or cooling is specified, which is not exactly feasible.
  • the method then determines the best possible approximation.
  • a quadratic optimization problem is solved.
  • the time to solve the optimization problem is usually significantly reduced.
  • the actual temperature profile and / or the desired temperature profile of the metal strip is determined with the aid of at least one model.
  • improved control or regulation of the temperature of the metal strip is also made possible if the actual strip temperature at locations relevant for the control or regulation, in particular the cooling section, can not be measured.
  • the actual enthalpy profile and / or the desired enthalpy profile are determined.
  • the objective function is minimized or maximized by solving an optimization problem by means of precalculation.
  • the time required for presetting the actuators is significantly reduced in this way.
  • the actuators are optimally preset with regard to a subsequent online control,
  • the objective function is preferably minimized or maximized online by solving an optimization problem.
  • FIG. 1 shows a plant for the production of metal strip 6, which comprises a roughing train 2, a finishing train 3 and a cooling line 4.
  • the metal strip 6 is preferably rolled hot.
  • a reel device 5 is preferably arranged. From her rolled in the streets 2 and 3 and cooled in the cooling section 4 metal strip 6 is reeled.
  • the streets 2 and 3, a band source 1 is arranged upstream.
  • the band source 1 is designed, for example, as a furnace in which metal slabs are heated.
  • the band source 1 may for example also be formed as a continuous casting plant, is produced in the metal strip 6, which is then fed to the roughing train 2.
  • the plant for steelmaking and in particular the roads 2, 3 and the cooling section 4 and the at least one reel device 5 are controlled by means of a control method which is carried out by a computing device 10.
  • the computing device 10 is coupled with one or more of the components 1 to 5 of the plant for steel production control technology.
  • the computing device 10 is programmed with a computer program designed as a control program, based on which it performs the inventive method for controlling or regulating the temperature of the metal strip 6.
  • the metal strip or slab 6 leaves the strip source 1 and is first rolled in the roughing train 2 to an input thickness for the finished section 3. Within the finishing train, the belt 6 is then by means of the rolling stands 3 ' rolled to its final thickness. The subsequent cooling section 4 cools the belt to a predetermined reel temperature.
  • a suitable temperature profile for the finishing train 3 and for the cooling section 4 must be complied with.
  • a target temperature profile is preferably predetermined as a function of, for example, the type of installation, the operating mode, the respective application and desired properties of the metal strip 6.
  • FIG. 5 shows a computing device 10 for controlling a cooling section 4.
  • the computing device 10 has a prediction module 21 and a module 22 for preferably online calculations, in particular during the cooling process.
  • the actuators of the finishing train 4 can be initialized.
  • estimated values for missing measured values for example the input speed of the metal strip, the temperature of the metal strip at the end of the finishing train 3 and the strip thickness, are used.
  • desired material values 105 serve as input-side input values for the prediction module 21.
  • the prediction 20 within the prediction module 21 is iteratively executed. This means that calculations with different amounts of coolant are repeated until predetermined errors are minimized.
  • the pre-calculation 20 is therefore coupled with online-enabled cooling-distance monitor 11 and an A-adaptation 18.
  • the calculation module 22 has a cooling line monitor 11 and a cooling line control 12, which are coupled together.
  • the cooling line monitor 11 and the cooling line control 12 control the actuators of the cooling section 4 and are preferably with one or more models of the cooling section, which may be stored, for example, in a model library 19. Preferably, one of the models is used to control the actuators.
  • the cooling line control 12 sends control signals 101 to the cooling section 4, for example in the form of control patterns for coolant valves.
  • FIG. 1 describes the operation of the cooling distance monitor 11 and the cooling line control 12 in more detail.
  • the cooling distance monitor 11 determines the state of the cooling section 4.
  • the input parameters for the cooling section monitor 11 are, for example, values such as the speed of the metal strip 6, strip temperatures and coolant temperatures and coolant pressure.
  • a final rolling temperature measuring station 8 for measuring the temperature of the metal strip 6 is arranged in the entrance area of the cooling section 4.
  • the temperature of the end of the finishing train 3 or the temperature between the finishing train 3 and the cooling section 4 is measured.
  • a final temperature measuring station 9 is preferably arranged.
  • the temperature is measured in front of the reel device 5 or at the end of the cooling section 4.
  • Input variables of the cooling distance monitor 11 are the input temperatures 103 of the metal strip determined at the final rolling temperature measuring station 8, the starting temperatures 104 of the metal strip determined at the coiling temperature measuring station 9 as well as further band data 102 which are preferably located in the finishing train 3, e.g. at or shortly after the last rolling stand 3 ', are determined.
  • valve positions 101 are transmitted to the cooling line monitor, which, however, usually checked by the cooling line monitor 11 for plausibility become.
  • the cooling distance monitor 11 always determines the current state of the cooling section 4.
  • the control or regulation according to the invention takes place clock cycle, preferably in control steps.
  • the cooling line control 12 determines the valve positions 101 of the valves 7 of the cooling section 4 for the next control step. In this case, an optimization problem is preferably solved, which will be discussed in more detail in the text
  • an iteration step is preferably carried out in each time cycle, wherein, starting from the solution of the optimization problem assigned to a current time cycle, at least one actuating signal is applied to the installation. Preferably, further updated measured values are taken into account in the solution of the optimization problem for a subsequent clock cycle. In this way, a closed loop can be formed.
  • Figure 6 shows a possible temperature profile T over the locations x of the cooling section 4, wherein the cooling section 4 is limited by the beginning of the cooling section x A and the end of the cooling section x E.
  • a comparable image would result from applying a temperature history T over time.
  • FIG. 3 illustrates the model-predictive control of the cooling section in more detail.
  • preferably not individual valves 7a or 7b, referred to collectively as 7, are actuated by the cooling-zone controller 12, but rather valve groups consisting of one or more valves 7.
  • the control region 14 can be divided into a plurality of subregions 14a and 14b, wherein preferably each subregion 14a or 14b is assigned a valve group.
  • control range 14 Within the limits of the control range 14, the boundaries of which usually coincide with the limits of the cooling path, a distinction can be made with regard to the control between a main control range 15 and a trim control range 16.
  • individual band points (13a, 13b) are tracked.
  • a model-predictive algorithm is used to control and regulate the cooling section.
  • actuators for N u time steps are determined in the future as a solution of a preferably quadratic optimization problem, wherein predictions are made with the model for N y time steps.
  • N u may be 1 or even a natural number greater than 1. In the latter case, only the calculated actuator settings for the first time step are usually implemented. For the next time step, we recalculated taking into account current measured values or predicted values.
  • N y must be chosen large enough to overcome the largest dead time available.
  • the largest dead time results from the largest distance of a temperature measuring point and the position of the nearest upstream free control valve.
  • a suitable, preferably linearized, strip temperature model is used.
  • the preferably square Optimization problem can easily be integrated with equation and inequality constraints. In this way, actuator limitations and different cooling line layouts can be taken into account particularly advantageously and preferably such that no excessive changes have to be made to the computing device 10 or to the prediction module 21 and / or the calculation module 22.
  • a model predictive control of the cooling section can also be based on the enthalpy curve in the cooling section.
  • the enthalpy profile over the location x or over time is comparable to the temperature profile over the location (see also FIG. 6) or over time.
  • the computing device 10 it is possible for the computing device 10 to have a cooling line control module 12, which in turn has a plurality of partial control modules 17a, 17b, which correspond to different control regions 14a and 14b.
  • the control or regulation of the cooling section 4 according to the invention is independent of the cooling route layout and, because of the model-predictive control, also offers optimum control of the control limits at the control limits. Specifications can be weighted differently in terms of prioritization in a flexible way. Edge-masking can be integrated into the control method according to the invention.
  • the method according to the invention can be designed in such a way that the speed of the metal strip 6 can also be controlled, which makes its use possible, for example, also for heavy plate mills.
  • a finishing train 3 can also be regulated according to the invention.
  • interstand cooling devices are further possible actuators in a finishing line.
  • a typical number of actuators for one Cooling section for example, about 200 valves 7. This is a significantly higher number of actuators than for a typical finishing line.
  • An overall control for a plurality of plant parts 1 to 5 can preferably be achieved as described below, for example for a finishing train 3 and a cooling section 4.
  • the temperature model of the finishing train 3 and the temperature model of the cooling section 4 are concatenated.
  • a preferably quadratic optimization problem with preferably linear secondary conditions is determined, by means of which a common control method is provided for both equipment parts 3 and 4.
  • the optimization of the problem thus provides the settings for the interstitial cooling of the finishing train 3, the cooling line valves 7 of the cooling section 4 and speed of the metal strip 6, in particular for each next control step.

Claims (18)

  1. Procédé pour se rendre maître et/ou régler la température d'un feuillard (5) métallique dans une installation de la sidérurgie, notamment dans une zone (4) de refroidissement, qui est montée en aval d'un train (2, 3) de laminoir pour laminer du feuillard (6) à chaud métallique dans lequel, pour déterminer des signaux de réglage, on compare une courbe de température de consigne à une courbe de température réelle, caractérisé en ce que l'on suit le trajet de points (13a, 13b) du feuillard, en ce que l'on détermine une courbe de température pour divers points (13a, 13b) du feuillard et en ce qu'en tenant compte de contraintes secondaires, on forme au moins une fonction performance pour plusieurs organes de réglage dans une partie de régulation de l'installation, notamment dans la section (4) de refroidissement.
  2. Procédé suivant la revendication 1, caractérisé en ce que l'on minimise la fonction performance en résolvant un problème d'optimisation.
  3. Procédé suivant la revendication 1 ou 2, caractérisé en ce que l'on maximise la fonction performance en résolvant un problème d'optimisation.
  4. Procédé suivant la revendication 2 ou 3, caractérisé en ce que l'on résout un problème d'optimisation quadratique.
  5. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on détermine la courbe de température réelle et/ou la courbe de température de consigne du feuillard (6) métallique en s'aidant d'au moins un modèle.
  6. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on détermine la courbe d'enthalpie réelle et/ou la courbe d'enthalpie de consigne en s'aidant d'au moins un modèle.
  7. Procédé suivant la revendication 5 ou 6, caractérisé en ce que l'on adapte le modèle en ligne.
  8. Procédé suivant l'une des revendications 2 à 7, caractérisé en ce que l'on minimise ou l'on maximise la fonction de performance en résolvant un problème d'optimisation au moyen d'un calcul préalable.
  9. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on minimise ou maximise par itération la fonction performance de préférence en ligne en résolvant un problème d'optimisation.
  10. Procédé suivant la revendication 9, caractérisé en ce que l'on effectue dans chaque cadence de temps un stade d'itération dans lequel, à partir d'une solution du problème d'optimisation associée à une cadence de temps instantanée, on entre au moins un signal de réglage dans l'installation.
  11. Procédé suivant la revendication 10, caractérisé en ce que l'on tient compte pour une cadence de temps venant ensuite d'autres valeurs de mesure dans la solution du problème d'optimisation.
  12. Procédé suivant la revendication 11, caractérisé en ce que l'on forme un circuit de régulation fermé.
  13. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on résout le problème d'optimisation avec des contraintes linéaires.
  14. Procédé suivant l'une des revendications précédentes, caractérisé en ce que l'on commande et/ou régule la température du feuillard (5) métallique dans plusieurs parties (1 à 5) de l'installation de la sidérurgie, notamment dans le train (3) finisseur et dans une zone (4) de refroidissement en aval de celui-ci.
  15. Produit de programme informatique comprenant un moyen de code programme propre à effectuer les stades d'un procédé suivant l'une des revendications précédentes lorsque le produit de programme informatique est réalisé sur un dispositif à ordinateur.
  16. Dispositif (10) à ordinateur pour la mise en oeuvre du procédé suivant l'une des revendications 1 à 14, dans lequel le dispositif (10) à ordinateur influe directement et/ou indirectement sur la température du feuillard (6) métallique, caractérisé en ce que le dispositif à ordinateur est programmé par un produit de programme informatique suivant la revendication 15.
  17. Dispositif (10) à ordinateur suivant la revendication 16, caractérisé en ce qu'il comporte un moniteur (11) de zone de refroidissement, un module de calcul (20) à l'avance, un module d'adaptation (18) et un module de régulation (12) de la zone de refroidissement.
  18. Dispositif (10) à ordinateur suivant la revendication 16 ou 17, caractérisé en ce qu'il comporte plusieurs modules (17a, 17b) de régulation d'organes de réglage (7) et/ou d'un ou de plusieurs domaines (14a, 14b) de régulation comprenant des organes de réglage.
EP04710798A 2003-02-25 2004-02-13 Procede de regulation de la temperature d'une bande metallique, en particulier dans un parcours de refroidissement Expired - Lifetime EP1596999B2 (fr)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
DE10308222 2003-02-25
DE10308222 2003-02-25
DE10321792 2003-05-14
DE2003121792 DE10321792A1 (de) 2003-05-14 2003-05-14 Verfahren zur Regelung der Temperatur eines Metallbandes, insbesondere in einer Kühlstrecke
PCT/EP2004/001365 WO2004076085A2 (fr) 2003-02-25 2004-02-13 Procede de regulation de la temperature d'une bande metallique, en particulier dans un parcours de refroidissement

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EP1596999A2 EP1596999A2 (fr) 2005-11-23
EP1596999B1 true EP1596999B1 (fr) 2006-12-20
EP1596999B2 EP1596999B2 (fr) 2011-05-25

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EP04710798A Expired - Lifetime EP1596999B2 (fr) 2003-02-25 2004-02-13 Procede de regulation de la temperature d'une bande metallique, en particulier dans un parcours de refroidissement

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US (1) US7251971B2 (fr)
EP (1) EP1596999B2 (fr)
JP (1) JP2006518669A (fr)
AT (1) ATE348671T1 (fr)
DE (1) DE502004002370D1 (fr)
NO (1) NO20054189L (fr)
WO (1) WO2004076085A2 (fr)

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EP2301685A1 (fr) 2009-09-23 2011-03-30 Siemens Aktiengesellschaft Procédé de commande pour une installation de traitement d'un produit de laminage étendu en longueur
CN105689407A (zh) * 2016-01-20 2016-06-22 北京首钢股份有限公司 一种提高厚规格带钢超快冷后温度控制精度的方法
EP3099430B1 (fr) 2014-01-28 2017-11-01 Primetals Technologies Germany GmbH Section de refroidissement avec refroidissement double à une valeur de consigne respective

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EP2540404A1 (fr) * 2011-06-27 2013-01-02 Siemens Aktiengesellschaft Procédé de commande pour un laminoir à bandes à chaud
DE102013225579A1 (de) 2013-05-22 2014-11-27 Sms Siemag Ag Vorrichtung und Verfahren zur Steuerung und/oder Regelung eines Glüh- oder Wärmebehandlungsofens einer Metallmaterial bearbeitenden Fertigungsstraße
CN104043660B (zh) * 2013-09-26 2015-09-30 北大方正集团有限公司 一种非调质钢的生产工艺
EP3495056B1 (fr) * 2017-12-11 2020-09-16 Primetals Technologies Austria GmbH Commande améliorée de la gestion de l'eau d'un circuit de refroidissement
JP7058182B2 (ja) * 2018-06-08 2022-04-21 株式会社日立製作所 目標温度履歴作成装置、目標温度履歴作成方法およびプログラム
DE102018220382A1 (de) * 2018-11-28 2020-05-28 Sms Group Gmbh Verfahren zur Herstellung eines metallischen Bandes
DE102019104419A1 (de) * 2019-02-21 2020-08-27 Sms Group Gmbh Verfahren zur Einstellung verschiedener Kühlverläufe von Walzgut über der Bandbreite einer Kühlstrecke in einer Warmband- oder Grobblech-Straße
EP3825789A1 (fr) 2019-11-20 2021-05-26 Primetals Technologies Germany GmbH Télécommande d'une installation de fabrication et/ou de traitement d'un produit de laminage métallique
CN113601806A (zh) * 2021-06-29 2021-11-05 无锡有孚精工科技有限公司 一种模具生产用气液冷却装置、系统及方法

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Publication number Priority date Publication date Assignee Title
EP2301685A1 (fr) 2009-09-23 2011-03-30 Siemens Aktiengesellschaft Procédé de commande pour une installation de traitement d'un produit de laminage étendu en longueur
WO2011036093A2 (fr) 2009-09-23 2011-03-31 Siemens Aktiengesellschaft Procédé de commande pour une installation de traitement d'un matériau laminé allongé
WO2011036093A3 (fr) * 2009-09-23 2011-11-10 Siemens Aktiengesellschaft Procédé de commande pour une installation de traitement d'un matériau laminé allongé
CN102497941A (zh) * 2009-09-23 2012-06-13 西门子公司 用于延长的轧件的处理设备的控制方法
CN102497941B (zh) * 2009-09-23 2014-10-15 西门子公司 用于延长的轧件的处理设备的控制方法
EP3099430B1 (fr) 2014-01-28 2017-11-01 Primetals Technologies Germany GmbH Section de refroidissement avec refroidissement double à une valeur de consigne respective
CN105689407A (zh) * 2016-01-20 2016-06-22 北京首钢股份有限公司 一种提高厚规格带钢超快冷后温度控制精度的方法
CN105689407B (zh) * 2016-01-20 2019-03-19 北京首钢股份有限公司 一种提高厚规格带钢超快冷后温度控制精度的方法

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Publication number Publication date
NO20054189L (no) 2005-09-09
WO2004076085A2 (fr) 2004-09-10
EP1596999A2 (fr) 2005-11-23
US7251971B2 (en) 2007-08-07
EP1596999B2 (fr) 2011-05-25
ATE348671T1 (de) 2007-01-15
US20060225474A1 (en) 2006-10-12
WO2004076085A3 (fr) 2004-10-21
JP2006518669A (ja) 2006-08-17
DE502004002370D1 (de) 2007-02-01

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