CN112090968B - Water cooling control system and control method for long material rolling - Google Patents
Water cooling control system and control method for long material rolling Download PDFInfo
- Publication number
- CN112090968B CN112090968B CN202010885347.4A CN202010885347A CN112090968B CN 112090968 B CN112090968 B CN 112090968B CN 202010885347 A CN202010885347 A CN 202010885347A CN 112090968 B CN112090968 B CN 112090968B
- Authority
- CN
- China
- Prior art keywords
- cooling
- temperature
- water
- value
- detection point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
- B21B37/74—Temperature control, e.g. by cooling or heating the rolls or the product
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
- B21B38/006—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring temperature
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B45/00—Devices for surface or other treatment of work, specially combined with or arranged in, or specially adapted for use in connection with, metal-rolling mills
- B21B45/02—Devices for surface or other treatment of work, specially combined with or arranged in, or specially adapted for use in connection with, metal-rolling mills for lubricating, cooling, or cleaning
- B21B45/0203—Cooling
- B21B45/0209—Cooling devices, e.g. using gaseous coolants
- B21B45/0215—Cooling devices, e.g. using gaseous coolants using liquid coolants, e.g. for sections, for tubes
- B21B45/0233—Spray nozzles, Nozzle headers; Spray systems
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Control Of Metal Rolling (AREA)
- Control Of Heat Treatment Processes (AREA)
Abstract
The invention discloses a through water cooling control system and a through water cooling control method for long material rolling. The method comprises a feedforward compensation step and an online model correction step; wherein, the feedforward compensation step comprises: when steel reaches the inlet of the cooling pipe, the surface temperature information of the current steel is obtained through inlet temperature detection, and a through-water cooling temperature change curve is designed according to the water temperature and water pressure information of the water tank detected on line and the current production requirement; taking the value predicted by the front cooling section model as the initial state of the rear cooling section model, and gradually recursing backwards one by one until the temperature distribution of the steel section at the outlet of the cooling pipe is calculated; taking the value of the cooling temperature curve of each virtual detection point as a target value, taking the predicted value of each virtual detection point as a feedback value, performing closed-loop control, and taking the target value and the predicted value of a cooling outlet from the target value and the feedback value of the last segment controller; and comparing the difference between the predicted value and the target value of the steel outlet temperature distribution, and performing feedforward correction on the temperature curve setting, thereby realizing the feedforward-feedback control of the through-water cooling of the long material.
Description
The technical field is as follows:
the invention relates to a through water cooling control system and a through water cooling control method for long material rolling
Background art:
in the rolling production process of metallurgical enterprises, finished rolled pieces need to pass through a water cooling device for forced cooling after being rolled out from a finishing mill, and the finished rolled pieces are used for controlling the structural state of deformed austenite, preventing the growth of grains or early precipitation of carbide to form reticular carbide, fixing dislocation caused by deformation, increasing the supercooling degree of phase change and preparing the structure for the transformation of deformed austenite to ferrite or cementite and pearlite. Since the structure state before phase change directly affects the phase change mechanism, the phase change product form, the grain thickness and the steel performance, the water cooling process has important influence on the quality of a rolled piece. Meanwhile, the cooling speed of the rolled piece is accelerated in the water-through cooling process, the cooling time is shortened, and the improvement of the rolling line yield is facilitated. The water cooling device for rolling the long material is divided according to functions and mainly comprises an inlet section, a cooling section, an outlet section, a water tank, a nozzle, an adjusting valve, a pressure regulating pump and the like. Wherein the inlet section mainly plays the effect of isolated air, and the outlet section mainly plays the cooling water and retrieves the effect, and the cooling process is accomplished at the cooling zone, and the water tank provides the water source of certain pressure for the cooling process, and the nozzle installation is spouted the cooling water with certain pressure to the rolled piece of cooling zone on, and the governing valve has played the effect of adjusting the nozzle water yield, and the pressure regulating pump has played the effect of adjusting cooling water pressure. In the whole water cooling process, the water pressure and the water quantity of cooling water are the most important process control quantity, and the key influence is exerted on the water cooling effect. The cooling section of a long product through-water cooling apparatus is generally an elongated cavity (e.g., a venturi) into which the long product is inserted from an inlet and then the entire product is passed through the cooling apparatus at a velocity to effect cooling of the entire high temperature long product. In the water cooling process, the heat exchange capacity between the cooling water and the high-temperature rolled piece is represented by a heat exchange coefficient, which is a key process state parameter in through-water cooling. The heat exchange coefficient of the water cooling process changes with the production and equipment conditions, and the heat exchange coefficient is different under different production states.
Disclosure of Invention
The invention aims to provide a control system and a control method for water cooling in long material rolling, and aims to construct a multi-section type optimization control system and a corresponding control method for water cooling production in long material rolling in a mode of dividing a cooling process into a plurality of control sections according to distribution of cooling nozzles, and performing progressive state prediction and error reverse correction on each control section.
In order to achieve the aim, the through water cooling control method for the long material rolling comprises a feed-forward compensation step and an online model correction step; wherein the content of the first and second substances,
the feedforward compensation step comprises the following steps:
the first step is as follows: when steel reaches the inlet of the cooling pipe, the surface temperature information of the current steel is obtained through inlet temperature detection, and a through-water cooling temperature change curve is designed according to the water temperature and water pressure information of the water tank detected on line and the current production requirement;
the second step is that: correcting the heat exchange coefficient of the No. 1 cooling section according to the water temperature, the water pressure and the initial steel temperature of the water tank, and calculating the steel section temperature distribution state at the virtual detection point 1 and the water temperature and the water pressure state of cooling water in the No. 2 cooling section through the No. 1 cooling section model;
the third step: taking the value of the cooling temperature curve at the virtual detection point 1 as a target value, taking the predicted value at the virtual detection point 1 as a feedback value, and sending the feedback value to a No. 1 cooling segment controller for closed-loop control;
the fourth step: correcting the heat exchange coefficient of the 2# cooling section by using the steel temperature distribution of the virtual detection point 1 predicted by the 1# cooling section model and the water temperature and water pressure data of the 2# water tank as initial conditions of the 2# cooling section model, and calculating the steel section temperature distribution state at the virtual detection point 2 and the water temperature and water pressure state of cooling water in the 2# cooling section;
the fifth step: taking the value of the cooling temperature curve at the virtual detection point 2 as a target value, taking the predicted value at the virtual detection point 2 as a feedback value, and sending the feedback value to a No. 2 cooling segment controller for closed-loop control;
and a sixth step: by analogy, the value predicted by the front cooling section model is used as the initial state of the rear cooling section model, and the backward recursion is carried out one by one until the temperature distribution of the steel section at the outlet of the cooling pipe is calculated;
the seventh step: by analogy, taking the value of the cooling temperature curve of each virtual detection point as a target value, taking the predicted value of each virtual detection point as a feedback value, and performing closed-loop control, wherein the target value and the feedback value of the last segmented controller are the target value and the predicted value of the cooling outlet;
eighth step: comparing the difference between the predicted value and the target value of the steel outlet temperature distribution, and performing feedforward correction on the temperature curve setting, thereby realizing the feedforward-feedback control of the through-water cooling of the long material;
the online model modification step of the invention comprises:
the first step is as follows: after the cooled steel exits the cooling section, carrying out temperature detection to obtain a cooled temperature value;
the second step is that: bringing the outlet detection temperature into a No. 4 cooling section model, and reversely calculating the steel temperature of the virtual detection point 3 according to the heat exchange coefficient, water temperature and water pressure and other states obtained in the forward calculation;
the third step: substituting the reverse calculation state of the virtual detection point 3 into a No. 3 cooling section model, and reversely calculating the steel temperature of the virtual detection point 3 according to the heat exchange coefficient, water temperature and water pressure and other states obtained in the forward calculation;
the fourth step: by analogy, the reverse calculation value of the virtual detection point is brought into a front cooling section model, the temperature of the previous virtual detection point is reversely calculated according to the states of the heat exchange coefficient, the water temperature, the water pressure and the like obtained in the forward calculation, and forward recursion is carried out one by one until the temperature calculation value at the inlet of the cooling pipe is calculated;
the fifth step: calculating the difference between the forward prediction result and the reverse calculation result of the state of the virtual detection point 3, and correcting the model of the 4# cooling section;
and a sixth step: and by analogy, the model of the cooling section 3#, 2#, 1# is corrected, and the updated model is adopted in the derivation calculation of the feedforward compensation.
In order to achieve the above object, the present invention provides a control system for cooling water in long product rolling, the system comprises a feed forward compensation module, the feed forward compensation module comprises: the cooling section is used for cooling the strip-shaped rolled piece with high temperature into the cooling pipe through the air seal inlet, the nozzle controls the flow of water spray, the water pressure is controlled by the water tank pressure stabilizing pump, and temperature detection devices are arranged in front of and behind the cooling section; wherein the content of the first and second substances,
temperature-detecting device before cooling zone: the system is used for detecting the inlet temperature when the steel reaches the inlet of the cooling pipe to obtain the current surface temperature information of the steel, and designing a through-water cooling temperature change curve according to the water temperature and water pressure information of the water tank detected on line and the current production requirement;
1# cooling section calculation model: correcting the heat exchange coefficient of the No. 1 cooling section according to the water temperature, the water pressure and the initial steel temperature of the water tank, and calculating the steel section temperature distribution state at the virtual detection point 1 and the water temperature, the water pressure and other states of cooling water in the No. 2 cooling section through the No. 1 cooling section model;
1# cooling section feedback calculation model: taking the value of the cooling temperature curve at the virtual detection point 1 as a target value, taking the predicted value at the virtual detection point 1 as a feedback value, and sending the feedback value to a No. 1 cooling segment controller for closed-loop control;
2# cooling section calculation model: correcting the heat exchange coefficient of the 2# cooling section by using the steel temperature distribution of the virtual detection point 1 predicted by the 1# cooling section model and the water temperature and water pressure data of the 2# water tank as initial conditions of the 2# cooling section model, and calculating the steel section temperature distribution state at the virtual detection point 2 and the water temperature, water pressure and other states of cooling water in the 2# cooling section;
2# cooling section feedback calculation model: taking the value of the cooling temperature curve at the virtual detection point 2 as a target value, taking the predicted value at the virtual detection point 2 as a feedback value, and sending the feedback value to a No. 2 cooling segment controller for closed-loop control;
…
n # Cooling segment calculation model: correcting the heat exchange coefficient of the N # cooling section by using the steel temperature distribution of the virtual detection point N-1 predicted by the N-1# cooling section model and the water temperature and water pressure data of the N # water tank as initial conditions of the N # cooling section model, and calculating the steel section temperature distribution state at the virtual detection point N and the water temperature, water pressure and other states of cooling water in the N # cooling section;
n # cooling section feedback calculation model: taking the value of the cooling temperature curve at a virtual detection point N as a target value, taking a predicted value at the virtual detection point N as a feedback value, and sending the feedback value to an N # cooling segment controller for closed-loop control;
a comparison module: comparing the difference between the predicted value and the target value of the steel outlet temperature distribution, and performing feedforward correction on the temperature curve setting, thereby realizing the feedforward-feedback control of the through-water cooling of the long material;
still include reverse correction module, reverse correction module include: temperature detecting element behind cooling section: after the cooled steel exits the cooling section, carrying out temperature detection to obtain a cooled temperature value;
the reverse calculation unit is used for substituting the reverse calculation value of the virtual detection points into the front cooling section model, reversely calculating the temperature of the previous virtual detection point according to the states of the heat exchange coefficient, the water temperature, the water pressure and the like obtained in the forward calculation, and gradually forwarding one by one until the temperature calculation value at the inlet of the cooling pipe is calculated;
a correction unit; calculating the difference between the forward prediction result and the reverse calculation result of the state of the virtual detection point N-1, and correcting the N # cooling section model; and by analogy, all cooling section models are corrected, and the updated models are adopted in the derivation calculation of the feed forward compensation.
The invention has the advantages that:
1. the water cooling through cooling process of the long rolled piece in metal rolling production cannot be effectively detected, and the problems of unstable quality of the rolled piece, high defective rate and the like can be caused if the outlet detection signal is used as the feedback signal for control, so that the water cooling through cooling control method for the long rolled piece provided by the invention can provide an effective strategy for cooling control through a feedforward control method of model prediction.
2. The invention analyzes and calculates the continuous cooling process in a sectional modeling mode, can improve the calculation precision of the cooling model, and reduces the errors brought to the model by the change of key parameters such as heat exchange coefficients and the like in the cooling process.
3. The invention can carry out temperature subsection control on the water cooling process through a subsection closed-loop cooling control structure, thereby approaching a target temperature curve in a temperature curve fitting mode.
4. The invention adopts the error reverse calculation mode to update the segmented cooling model on line, thereby ensuring the precision and the stability of the control system
Description of the drawings:
FIG. 1 is a schematic diagram of a control system of the present invention
FIG. 2 is a flow chart of a control method of the present invention
FIG. 3 is a flow chart of the present invention for online updating of a segmentation model
The specific implementation mode is as follows:
example 1
The invention will be explained taking the cooling process of fig. 1 as an example:
FIG. 1 is a schematic diagram of a water cooling control system for long-material rolling, a high-temperature long-strip-shaped rolled piece enters a cooling pipe through a gas seal inlet, water cooling is carried out in a cooling section, a nozzle controls the flow of water spraying, the water pressure is controlled by a water tank pressure stabilizing pump, and temperature detection devices are arranged in the front of and behind the cooling section. In order to predict the state of the water tank, in this embodiment, 3 virtual detection points are provided to monitor the state of the cooling intermediate process. In the embodiment, 4 groups of nozzles with different intervals are adopted, and the control system provides an independent controller and a control strategy based on temperature feedback for each group of nozzles.
The control method flow of the invention is shown in figure 2.
The first step is as follows: when steel reaches the inlet of the cooling pipe, the surface temperature information of the current steel is obtained through inlet temperature detection, and a through-water cooling temperature change curve is designed according to the water temperature and water pressure information of the water tank detected on line and the current production requirement;
the second step is that: correcting the heat exchange coefficient of the No. 1 cooling section according to the water temperature, the water pressure and the initial steel temperature of the water tank, and calculating the steel section temperature distribution state at the virtual detection point 1 and the water temperature, the water pressure and other states of cooling water in the No. 2 cooling section through the No. 1 cooling section model;
the third step: taking the value of the cooling temperature curve at the virtual detection point 1 as a target value, taking the predicted value at the virtual detection point 1 as a feedback value, and sending the feedback value to a No. 1 cooling segment controller for closed-loop control;
the fourth step: correcting the heat exchange coefficient of the 2# cooling section by using the steel temperature distribution of the virtual detection point 1 predicted by the 1# cooling section model and the water temperature and water pressure data of the 2# water tank as initial conditions of the 2# cooling section model, and calculating the steel section temperature distribution state at the virtual detection point 2 and the water temperature, water pressure and other states of cooling water in the 2# cooling section;
the fifth step: taking the value of the cooling temperature curve at the virtual detection point 2 as a target value, taking the predicted value at the virtual detection point 2 as a feedback value, and sending the feedback value to a No. 2 cooling segment controller for closed-loop control;
and a sixth step: by analogy, the value predicted by the front cooling section model is used as the initial state of the rear cooling section model, and the backward recursion is carried out one by one until the temperature distribution of the steel section at the outlet of the cooling pipe is calculated;
the seventh step: by analogy, taking the value of the cooling temperature curve of each virtual detection point as a target value, taking the predicted value of each virtual detection point as a feedback value, and performing closed-loop control, wherein the target value and the feedback value of the last segmented controller are the target value and the predicted value of the cooling outlet;
eighth step: and comparing the difference between the predicted value and the target value of the steel outlet temperature distribution, and performing feedforward correction on the temperature curve setting, thereby realizing the feedforward-feedback control of the through-water cooling of the long material. (ii) a
Through the 8 steps, the through water cooling control system and the through water cooling control method for the long material rolling are formed.
The flow of the online model modification steps of the present invention is shown in FIG. 3.
The first step is as follows: after the cooled steel exits the cooling section, carrying out temperature detection to obtain a cooled temperature value;
the second step is that: bringing the outlet detection temperature into a No. 4 cooling section model, and reversely calculating the steel temperature of the virtual detection point 3 according to the heat exchange coefficient, water temperature and water pressure and other states obtained in the forward calculation;
the third step: substituting the reverse calculation state of the virtual detection point 3 into a No. 3 cooling section model, and reversely calculating the steel temperature of the virtual detection point 3 according to the heat exchange coefficient, water temperature and water pressure and other states obtained in the forward calculation;
the fourth step: by analogy, the reverse calculation value of the virtual detection point is brought into a front cooling section model, the temperature of the previous virtual detection point is reversely calculated according to the states of the heat exchange coefficient, the water temperature, the water pressure and the like obtained in the forward calculation, and forward recursion is carried out one by one until the temperature calculation value at the inlet of the cooling pipe is calculated;
the fifth step: calculating the difference between the forward prediction result and the reverse calculation result of the state of the virtual detection point 3, and correcting the model of the 4# cooling section;
and a sixth step: and by analogy, the model of the cooling section 3#, 2#, 1# is corrected, and the updated model is adopted in the derivation calculation of the feedforward compensation. (ii) a
Through the 6 steps, the reverse model updating step of the through water cooling control of the long material rolling is realized.
Example 2
The invention discloses a water cooling control system for long-material rolling, which comprises a feed-forward compensation module, wherein the feed-forward compensation module comprises: the cooling section is used for cooling the strip-shaped rolled piece with high temperature into the cooling pipe through the air seal inlet, the nozzle controls the flow of water spray, the water pressure is controlled by the water tank pressure stabilizing pump, and temperature detection devices are arranged in front of and behind the cooling section; wherein the content of the first and second substances,
temperature-detecting device before cooling zone: the system is used for detecting the inlet temperature when the steel reaches the inlet of the cooling pipe to obtain the current surface temperature information of the steel, and designing a through-water cooling temperature change curve according to the water temperature and water pressure information of the water tank detected on line and the current production requirement;
1# cooling section calculation model: correcting the heat exchange coefficient of the No. 1 cooling section according to the water temperature, the water pressure and the initial steel temperature of the water tank, and calculating the steel section temperature distribution state at the virtual detection point 1 and the water temperature, the water pressure and other states of cooling water in the No. 2 cooling section through the No. 1 cooling section model;
1# cooling section feedback calculation model: taking the value of the cooling temperature curve at the virtual detection point 1 as a target value, taking the predicted value at the virtual detection point 1 as a feedback value, and sending the feedback value to a No. 1 cooling segment controller for closed-loop control;
2# cooling section calculation model: correcting the heat exchange coefficient of the 2# cooling section by using the steel temperature distribution of the virtual detection point 1 predicted by the 1# cooling section model and the water temperature and water pressure data of the 2# water tank as initial conditions of the 2# cooling section model, and calculating the steel section temperature distribution state at the virtual detection point 2 and the water temperature, water pressure and other states of cooling water in the 2# cooling section;
2# cooling section feedback calculation model: taking the value of the cooling temperature curve at the virtual detection point 2 as a target value, taking the predicted value at the virtual detection point 2 as a feedback value, and sending the feedback value to a No. 2 cooling segment controller for closed-loop control;
…
n # Cooling segment calculation model: correcting the heat exchange coefficient of the N # cooling section by using the steel temperature distribution of the virtual detection point N-1 predicted by the N-1# cooling section model and the water temperature and water pressure data of the N # water tank as initial conditions of the N # cooling section model, and calculating the steel section temperature distribution state at the virtual detection point N and the water temperature, water pressure and other states of cooling water in the N # cooling section;
n # cooling section feedback calculation model: taking the value of the cooling temperature curve at a virtual detection point N as a target value, taking a predicted value at the virtual detection point N as a feedback value, and sending the feedback value to an N # cooling segment controller for closed-loop control;
a comparison module: comparing the difference between the predicted value and the target value of the steel outlet temperature distribution, and performing feedforward correction on the temperature curve setting, thereby realizing the feedforward-feedback control of the through-water cooling of the long material;
still include reverse correction module, reverse correction module include: temperature detecting element behind cooling section: after the cooled steel exits the cooling section, carrying out temperature detection to obtain a cooled temperature value;
the reverse calculation unit is used for substituting the reverse calculation value of the virtual detection points into the front cooling section model, reversely calculating the temperature of the previous virtual detection point according to the states of the heat exchange coefficient, the water temperature, the water pressure and the like obtained in the forward calculation, and gradually forwarding one by one until the temperature calculation value at the inlet of the cooling pipe is calculated;
a correction unit; calculating the difference between the forward prediction result and the reverse calculation result of the state of the virtual detection point N-1, and correcting the N # cooling section model; and by analogy, all cooling section models are corrected, and the updated models are adopted in the derivation calculation of the feed forward compensation.
The invention has the following advantages:
1. a feedforward control method for carrying out sectional prediction and recursive calculation on the through water cooling of the long material in the metallurgical process;
2. the virtual detection point is divided into cooling sections cooled by water, and the analysis method of soft measurement is carried out on the virtual detection point;
3. an online analysis method for the water cooling process of sectional type heat exchange coefficient correction;
4. a segmented controller setting and segmented temperature closed-loop control method;
5. the method is used for fitting a temperature curve in production by implementing temperature control on the virtual detection points.
Error calculation and model update methods by reverse derivation.
Claims (1)
1. A through water cooling control method for long material rolling is characterized by comprising a feedforward compensation step and an online model correction step; wherein the content of the first and second substances,
the feedforward compensation step comprises the following steps:
the first step is as follows: when steel reaches the inlet of the cooling pipe, the surface temperature information of the current steel is obtained through inlet temperature detection, and a through-water cooling temperature change curve is designed according to the water temperature and water pressure information of the water tank detected on line and the current production requirement;
the second step is that: correcting the heat exchange coefficient of the No. 1 cooling section according to the water temperature, the water pressure and the initial steel temperature of the water tank, and calculating the steel section temperature distribution state at the virtual detection point 1 and the water temperature and the water pressure state of cooling water in the No. 2 cooling section through the No. 1 cooling section model;
the third step: taking the value of the water cooling temperature change curve at a virtual detection point 1 as a target value, taking a predicted value at the virtual detection point 1 as a feedback value, and sending the feedback value to a No. 1 cooling segment controller for closed-loop control;
the fourth step: correcting the heat exchange coefficient of the 2# cooling section by using the steel section temperature distribution of the virtual detection point 1 predicted by the 1# cooling section model and the water temperature and water pressure data of the 2# water tank as initial conditions of the 2# cooling section model, and calculating the steel section temperature distribution state at the virtual detection point 2 and the water temperature and water pressure state of cooling water in the 3# cooling section;
the fifth step: taking the value of the water cooling temperature change curve at the virtual detection point 2 as a target value, taking the predicted value at the virtual detection point 2 as a feedback value, and sending the feedback value to a No. 2 cooling segment controller for closed-loop control;
and a sixth step: by analogy, the value predicted by the front cooling section model is used as the initial state of the rear cooling section model, and the backward recursion is carried out one by one until the temperature distribution of the steel section at the outlet of the cooling pipe is calculated;
the seventh step: by analogy, taking the value of the through water cooling temperature change curve of each virtual detection point as a target value, taking the predicted value of each virtual detection point as a feedback value, and performing closed-loop control, wherein the target value and the feedback value of the last segmented controller are the target value and the predicted value of the cooling outlet;
eighth step: comparing the difference between the predicted value and the target value of the steel section temperature distribution at the steel outlet, and performing feedforward correction on the through-water cooling temperature change curve setting, thereby realizing the feedforward-feedback control of the long-material through-water cooling;
the online model modification step comprises:
the first step is as follows: after the cooled steel exits the cooling section, carrying out temperature detection to obtain a cooled temperature value;
the second step is that: the outlet detection temperature is brought into a No. 4 cooling section model, and the steel temperature of the virtual detection point 3 is calculated reversely according to the heat exchange coefficient and the water temperature and water pressure state obtained in the forward calculation;
the third step: substituting the reverse calculation state of the virtual detection point 3 into a No. 3 cooling section model, and reversely calculating the steel temperature of the virtual detection point 2 according to the heat exchange coefficient and the water temperature and water pressure state obtained in the forward calculation;
the fourth step: by analogy, the back calculation value of the virtual detection point is brought into a front cooling section model, the temperature of the previous virtual detection point is reversely calculated according to the heat exchange coefficient and the water temperature and water pressure state obtained in the forward calculation, and forward recursion is carried out one by one until the temperature calculation value at the inlet of the cooling pipe is calculated;
the fifth step: calculating the difference between the forward prediction result and the reverse calculation result of the state of the virtual detection point 3, and correcting the model of the 4# cooling section;
and a sixth step: and by analogy, the model of the cooling section 3#, 2#, 1# is corrected, and the updated model is adopted in the derivation calculation of the feedforward compensation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010885347.4A CN112090968B (en) | 2020-08-28 | 2020-08-28 | Water cooling control system and control method for long material rolling |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010885347.4A CN112090968B (en) | 2020-08-28 | 2020-08-28 | Water cooling control system and control method for long material rolling |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112090968A CN112090968A (en) | 2020-12-18 |
| CN112090968B true CN112090968B (en) | 2022-03-25 |
Family
ID=73758212
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010885347.4A Active CN112090968B (en) | 2020-08-28 | 2020-08-28 | Water cooling control system and control method for long material rolling |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112090968B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114367548A (en) * | 2021-12-28 | 2022-04-19 | 重庆钢铁股份有限公司 | Device and method for preventing cooling system from reverse straightening interference due to thermal straightening machine |
| CN114602979B (en) * | 2022-03-23 | 2022-11-25 | 东北大学 | Temperature feedforward control method in deformed steel bar cooling process |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100679081B1 (en) * | 2005-09-02 | 2007-02-05 | 주식회사 포스코 | Hot steel strip cooling device and cooling method using the same |
| KR20080058641A (en) * | 2006-12-22 | 2008-06-26 | 주식회사 포스코 | Temperature controlling method and apparatus in hot strip mill |
| KR101050792B1 (en) * | 2003-12-29 | 2011-07-20 | 주식회사 포스코 | Cooling Control Method Using Dynamic Reset |
| GB2484917A (en) * | 2010-10-25 | 2012-05-02 | Siemens Vai Metals Tech Ltd | Method of cooling a longitudinally profiled plate |
| CN108971244A (en) * | 2018-09-25 | 2018-12-11 | 芜湖新兴铸管有限责任公司 | Rolled steel cooling means |
| CN109201748A (en) * | 2018-08-27 | 2019-01-15 | 合肥东方节能科技股份有限公司 | A kind of cooling intelligent control technology of screw-thread steel fine grain rolling rolling stock |
| CN109530461A (en) * | 2018-10-30 | 2019-03-29 | 中冶京诚工程技术有限公司 | The not cold segment length control method and device of high line Water cooling |
| CN110624960A (en) * | 2019-09-24 | 2019-12-31 | 张家港宏昌钢板有限公司 | Strip steel cooling control method combining ultra-fast cooling and conventional laminar cooling |
| CN110814053A (en) * | 2019-11-15 | 2020-02-21 | 中冶华天工程技术有限公司 | Intelligent calculation method for reverse self-decision temperature control of bar water tank based on trial and error method |
| CN110997169A (en) * | 2017-08-04 | 2020-04-10 | 东芝三菱电机产业系统株式会社 | Temperature control device of headless rolling line |
-
2020
- 2020-08-28 CN CN202010885347.4A patent/CN112090968B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101050792B1 (en) * | 2003-12-29 | 2011-07-20 | 주식회사 포스코 | Cooling Control Method Using Dynamic Reset |
| KR100679081B1 (en) * | 2005-09-02 | 2007-02-05 | 주식회사 포스코 | Hot steel strip cooling device and cooling method using the same |
| KR20080058641A (en) * | 2006-12-22 | 2008-06-26 | 주식회사 포스코 | Temperature controlling method and apparatus in hot strip mill |
| GB2484917A (en) * | 2010-10-25 | 2012-05-02 | Siemens Vai Metals Tech Ltd | Method of cooling a longitudinally profiled plate |
| CN110997169A (en) * | 2017-08-04 | 2020-04-10 | 东芝三菱电机产业系统株式会社 | Temperature control device of headless rolling line |
| CN109201748A (en) * | 2018-08-27 | 2019-01-15 | 合肥东方节能科技股份有限公司 | A kind of cooling intelligent control technology of screw-thread steel fine grain rolling rolling stock |
| CN108971244A (en) * | 2018-09-25 | 2018-12-11 | 芜湖新兴铸管有限责任公司 | Rolled steel cooling means |
| CN109530461A (en) * | 2018-10-30 | 2019-03-29 | 中冶京诚工程技术有限公司 | The not cold segment length control method and device of high line Water cooling |
| CN110624960A (en) * | 2019-09-24 | 2019-12-31 | 张家港宏昌钢板有限公司 | Strip steel cooling control method combining ultra-fast cooling and conventional laminar cooling |
| CN110814053A (en) * | 2019-11-15 | 2020-02-21 | 中冶华天工程技术有限公司 | Intelligent calculation method for reverse self-decision temperature control of bar water tank based on trial and error method |
Non-Patent Citations (2)
| Title |
|---|
| 前馈和反馈相结合的控制策略在宝钢线材厂控冷轧线上的应用实践;朱宏祥等;《冶金自动化》;20030430(第02期);全文 * |
| 螺纹钢筋穿水冷却时的对流换热系数模型;张国滨等;《河北理工学院学报》;20021231(第04期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112090968A (en) | 2020-12-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112090968B (en) | Water cooling control system and control method for long material rolling | |
| CN101844215B (en) | Dynamic secondary cooling control method for slab continuous casting based on double-cooling mode | |
| CN112090970B (en) | Water cooling control system and control method for long material rolling | |
| CN100431726C (en) | Strip steel reeling temperature controlling method and device | |
| CN102392119A (en) | Online comprehensive control method for hot-galvanized continuous annealing furnace | |
| CN107971345B (en) | Process control system and control method for steel pipe on-line cooling | |
| CN110883103B (en) | Method for controlling uniformity of cooling temperature of rolled medium plate for ultra-fast cooling system | |
| CN103998631A (en) | Method and apparatus for controlling the strip temperature of the rapid cooling section of a continuous annealing line | |
| CN101519735B (en) | Method for controlling strip-steel head and tail temperature | |
| CN104289532B (en) | Strip steel watermark point temperature-controlled process | |
| CN105344720A (en) | Online control method for finish rolling temperature of precision rolling strip steel | |
| JP4598586B2 (en) | Cooling control method, apparatus, and computer program | |
| CN112090969B (en) | Through water cooling control method and system for long material rolling | |
| CN112090967B (en) | Through water cooling control method and system for long material rolling | |
| CN110883105B (en) | Method for adjusting parameters of controlled cooling optimizing water tank of hot-rolled deformed steel bar in real time after rolling | |
| CN113441556B (en) | Laminar cooling process control method of low-temperature coiled hot-rolled dual-phase steel | |
| JP2004034122A (en) | Winding temperature controller | |
| JP2009160599A (en) | Method of predicting temperature of rolled stock, method of controlling cooling system for rolled stock and continuous rolling equipment | |
| CN114130980B (en) | Dynamic secondary cooling control method for continuous casting | |
| JP2593027B2 (en) | Plating weight control method | |
| JP3301476B2 (en) | Absolute value automatic thickness control system for plate rolling | |
| CN117463794B (en) | Multi-target cooperative control method based on UFCT, MT and CT | |
| CN114734014B (en) | Cooling method and system for controlling crack at corner of microalloy steel plate blank | |
| JPH0636931B2 (en) | Temperature control method for rolling and cooling wire rods and bars | |
| CN116833226A (en) | Coiling temperature control system based on dynamic adjustment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220303 Address after: 243000 Fu Chang Industrial Park, 259 HSI Nan Road, Ma'anshan economic and Technological Development Zone, Anhui Applicant after: HUATIAN ENGINEERING & TECHNOLOGY CORPORATION, MCC Applicant after: MCC Huatian Nanjing Engineering Technology Co., Ltd Address before: No.699, Hunan West Road, Ma'anshan City, Anhui Province Applicant before: HUATIAN ENGINEERING & TECHNOLOGY CORPORATION, MCC |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |