CN103100564A - Novel rolling process self-adaptive control method - Google Patents
Novel rolling process self-adaptive control method Download PDFInfo
- Publication number
- CN103100564A CN103100564A CN2011103537823A CN201110353782A CN103100564A CN 103100564 A CN103100564 A CN 103100564A CN 2011103537823 A CN2011103537823 A CN 2011103537823A CN 201110353782 A CN201110353782 A CN 201110353782A CN 103100564 A CN103100564 A CN 103100564A
- Authority
- CN
- China
- Prior art keywords
- rolling
- force
- motor torque
- roll
- deviation
- 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.)
- Pending
Links
- 238000005096 rolling process Methods 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000004364 calculation method Methods 0.000 claims abstract description 5
- 239000002184 metal Substances 0.000 claims abstract description 4
- 239000011159 matrix material Substances 0.000 claims description 29
- 239000000463 material Substances 0.000 claims description 19
- 230000001105 regulatory effect Effects 0.000 claims description 9
- 238000004519 manufacturing process Methods 0.000 claims description 8
- 229910000831 Steel Inorganic materials 0.000 claims description 6
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 239000010959 steel Substances 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000010079 rubber tapping Methods 0.000 claims description 2
- 238000005457 optimization Methods 0.000 claims 1
- 239000000047 product Substances 0.000 description 13
- 238000005452 bending Methods 0.000 description 8
- 238000001514 detection method Methods 0.000 description 7
- 230000006978 adaptation Effects 0.000 description 4
- 238000009826 distribution Methods 0.000 description 4
- 238000003801 milling Methods 0.000 description 4
- 239000000498 cooling water Substances 0.000 description 3
- 238000000205 computational method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 239000012467 final product Substances 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Landscapes
- Control Of Metal Rolling (AREA)
Abstract
The invention discloses a novel rolling process self-adaptive control method, and belongs to the technical field of metal processing plate and strip product rolling. The novel rolling process self-adaptive control method is used for an on-line schedule setting computing control system. The novel rolling process self-adaptive control method includes the following steps: calculating partial differential matrixes of rolling force and motor torque at first, calculating the real temperature of a rolled piece according to rolling force deviation and motor torque deviation in the front process, and revising a rolling schedule according to temperature dynamic of an entry. The temperature of the rolled piece is successfully predicted through theoretical calculation, so that setting accuracy of the rolling schedule is increased, and accuracy index of products is effectively improved.
Description
Technical field
The invention belongs to metal processing strip product rolling technical field, relate to a kind of novel process control passage self-adaptive computing method, especially on-line setup calculating control system; Simultaneously, the invention still further relates to a kind of plate rolling passage load distribution method.
Background technology
Sheet metal will become thick slab rolling the less finished product sheet material of thickness when rolling, due to the restriction of milling equipment ability, can not disposable roll forming, and need back and forth rollingly repeatedly could obtain final finished product.Every rolling passage that once is called, each passage is born the reduction in thickness of a part.During computer control, the drafts of each passage distributes and is called sharing of load, and the method for calculating each reduction in pass distribution is called load distribution method.When sharing of load calculated, the physical quantity that can obtain comprised reduction in pass, draught pressure, roll torque, rolling mill speed, bending roller force etc.
Computer control system will be controlled the whole operation of rolling, each rolling pass is carried out high accuracy set, to satisfy the required precision of product quality.The Main physical amount that each passage is set comprises roll-force, roller gap, roll torque, rolling mill speed, cooling water inflow, the de-scaling water yield, bending roller force etc.Generally, computing system is according to the specification of sheet material kind, specification and the blank produced, ability (maximum moment of motor and maximum draught pressure) in conjunction with milling train, adopt certain computational methods, before steel rolling, first provide the setting value of the Main physical amount of rolling pass sum and each passage, be called this moment and preset.The physics numberical value of quantity that presets will according to rolling actual conditions and temperature detection numerical value, dynamically be revised presetting each physics numberical value of quantity in the operation of rolling, to obtain to control preferably effect.
In the operation of rolling, computer need to be according to front passage situation and the temperature detection situation of rolling mistake, the physics numberical value of quantity of respectively setting that will rolling pass is revised, and this correcting mode is called the PREDICTIVE CONTROL of passage, also referred to as the Self Adaptive Control between passage.During plate rolling, the Self Adaptive Control between passage is mainly by temperature detection, and the setting value of draught pressure, roller gap, roll torque etc. and the deviation of actual value realize.Conventional method is, calculate actual rolling exit thickness according to the draught pressure of front passage, roll gap, bending roller force etc., recomputate the setting value of back passage according to the detection of the variable quantity of thickness and temperature, the drafts that no longer changes passage this moment distributes and only changes rolling force setup, torque setting, intermesh determination, bending roller force setting etc.
Rolling preset and passage between when controlling, temperature is an of paramount importance factor, the variable effect of temperature is to rolling force setup, roller gap setting, torque setting, Speed Setting, bending roller force setting etc.Present rolling preset and passage between Self Adaptive Control all need high-precision measured temperature.Particularly some sheet materials high to performance requirement, need to carry out controlled rolling under the uniform temperature condition, and the deviation of temperature more easily causes the mass deviation of product, produces larger dimensional discrepancy and aberrations in property.
In actual production, on the one hand often due to the impact of the many factors such as cooling water, oxide scales, temperature instrument is difficult to provide real sheet deformation Temperature numerical; On the other hand, even if plate surface does not have cooling water, oxide scales etc., temperature instrument also can only detect the temperature of plate surface, because surface temperature and internal temperature have larger difference, instrumentation almost be can not determine real sheet deformation temperature, both of these case all can produce larger temperature deviation, thereby has influence on the setting accuracy of the draught pressure, roller gap, roll torque, bending roller force etc. of each passage, and then has influence on final product quality.
Between present passage, adaptive technique one is to need high-precision temperature detection, the 2nd, and adaptive physical quantity is draught pressure, roll gap, roll torque, bending roller force, does not have the self adaptation of temperature between passage to calculate.
Summary of the invention
Technical problem to be solved by this invention is: proposed a kind of new method, set up the temperature prediction computation model, solved the error problem that temperature instrument brings, set up the temperature self-adaptation computational methods.Directly adopt load distribution algorithm to recomputate the sharing of load that remains passage according to the temperature of prediction, dynamically revise the drafts of each passage, obtain high-precision control quality.
For fixing production line, its milling equipment system is fixed, and the power of electric system and rolling mill body can parameter all be fixed, and during rolling monolithic sheet material, the blank of sheet material and the size of finished product are fixed, and performance requirement is also fixed.Whole operation of rolling fluctuation is maximum, most active factor is exactly temperature, and temperature has influence on draught pressure, roll torque, finally has influence on the quality of product and the utilization rate of device systems.The present invention has adopted following methods, obtains real deformation temperature.
Draught pressure is temperature, the rolling mill speed of exit thickness, the sheet material of inlet thickness, the sheet material of sheet material width, sheet material, the function of roller radius, can write:
(1) in, P is roll-force, and B is the sheet material width, and H is the sheet material inlet thickness, and h is the sheet material exit thickness, and T is the sheet material temperature, and V is rolling mill speed, and R is roller radius.
(1) get total differential, can get:
Equally, motor torque is also temperature, the rolling mill speed of exit thickness, the sheet material of inlet thickness, the sheet material of sheet material width, sheet material, the function of roller radius, is designated as:
M=
(3)
(3) get total differential, can get:
(4)
Therefore, can obtain:
(5) in, K
1, K
2Be coefficient.In rolling front passage, roll torque plays a leading role, K
2Value is larger, between 0.7 to 0.9, and K
1Get smaller, between 0.1 to 0.3; In rolling back passage, roll-force plays a leading role, K
1Value is larger, between 0.7 to 0.9, and K
2Get smaller, between 0.1 to 0.3.If only with draught pressure (2) or moment (4) as basis, easily cause larger deviation.
Can calculate temperature deviation by (5) formula.This temperature deviation can be applied to the adaptometer of follow-up passage and count in, through the initial temperature of the temperature after self adaptation as follow-up passage sharing of load, re-starts the calculating of sharing of load.Concrete steps are as follows:
1. power energy parameter, the dimensional parameters of slab, the finished size parameter of sheet material, the performance parameter according to milling train requires to carry out precomputation, obtains each physical quantity matrix of precomputation;
(6) in, P is the setting draught pressure, and M is for setting moment, and F is for setting bending roller force, and Te sets inlet temperature, and Tx is for setting outlet temperature, and V is the setting rolling mill speed, subscript 1,2 ..., n represents passage number.
2. go out corresponding roll-force partial differential matrix according to each Physical Quantity Calculation that calculates:
3. go out corresponding motor torque partial differential matrix according to each Physical Quantity Calculation that calculates:
(8)
4. obtain the draught pressure measured value of front two passages of the operation of rolling and the actual value of motor torque.Pa1、Pa2，Ma1，Ma2。
5. calculate
, and calculate (7), (8) difference substitution formula (5) actual
,
6. calculate the temperature deviation of the 3rd passage:
7. calculate the inlet temperature after the 3rd passage self adaptation:
T
3en = T
3e +
(10)
8. with the T of new acquisition
3enFor new inlet temperature setting value, take the inlet thickness of the rolling exit thickness h2 that completes of the second passage as the residue passage, recalculate every numerical value of formula (6)-(8).
9. the process of repeating step 4-step 8 is until rolling completing.
Step 1 to step 9 is the basic skills that between passage, self adaptation is calculated.
Description of drawings
Fig. 1 is that the system of a kind of novel operation of rolling self-adaptation control method of the present invention forms schematic diagram.
The specific embodiment
Describe the embodiment of operation of rolling self-adaptation control method of the present invention in detail below in conjunction with accompanying drawing.
Embodiment one
See also Fig. 1, the present invention forms schematic diagram in the system that certain steel mill's 3000mm jobbing sheet-rolling mill is applied to production control.Mainly comprise following a few part: actual roll-force detection, the detection of real electrical machinery moment, equipment power energy parameter, slab specifications parameter, product specification parameter, performance parameter, motor torque deviation computing module, rolling force deviation computing module, rules precalculation module, roll-force partial differential matrix computations module, motor torque partial differential matrix computations module, inlet temperature are adjusted computing module, rules computing module, rules preservation module etc.The below introduces the content of each several part in detail.
Actual roll-force detects: use oil pressure sensor or the actual roll-force of pressure-measuring head sensor measurement, be used for calculating rolling force deviation.
Real electrical machinery moment detects: obtain real electrical machinery moment from motor transmission system, be used for calculating the motor torque deviation.
Equipment power energy parameter: be used to the passage sharing of load that initial data is provided, embodied the mechanical performance of production equipment; For specific factory, this parameter list is fixed.
Slab specifications parameter: comprise the information such as size, tapping temperature, steel grade specification of slab, be used for calculating rolling procedure.
Product specification parameter: comprise the information such as size, finishing temperature of product, be used for calculating rolling procedure;
Performance parameter: comprise the information such as production technology specific (special) requirements, product quality requirement of product, be used for calculating rolling procedure.
Motor torque deviation computing module: the motor torque setting value and the actual measurement motor torque that calculate according to rules calculate the motor torque deviation, are used for the accounting temperature regulated quantity.
Rolling force deviation computing module: calculate rolling force deviation according to rolling force setup value and actual measurement roll-force that rules calculate, be used for the accounting temperature regulated quantity.
Rules precalculation module: according to equipment power energy parameter, slab specifications parameter, product specification parameter and performance parameter, estimate to calculate rolling procedure, be used for calculating roll-force partial differential matrix and motor torque partial differential matrix.
Roll-force partial differential matrix computations module: according to the rolling procedure that the rules precalculation module calculates, calculate roll-force partial differential matrix, be used for the accounting temperature regulated quantity.
Motor torque partial differential matrix computations module: according to the rolling procedure that the rules precalculation module calculates, calculate motor torque partial differential matrix, be used for the accounting temperature regulated quantity.
Inlet temperature is adjusted computing module: according to motor torque deviation, rolling force deviation, motor torque partial differential matrix and roll-force partial differential matrix, calculate the regulated quantity of steel plate inlet temperature, be used for calculating final rolling procedure.
Rules computing module: adjust the result of computing module according to inlet temperature, recomputate rolling procedure and be used for actual production and control.
Rules are preserved module: preserve rolling procedure, be used for the calculating of follow-up passage self-adaptation control method motor torque deviation and rolling force deviation.
Claims (5)
1. novel operation of rolling self-adaptation control method, be used for metal processing strip On-line Product rules and set calculating control system, it is characterized in that, described method comprises that actual roll-force detects, real electrical machinery moment detects, equipment power energy parameter, the slab specifications parameter, the product specification parameter, performance parameter, motor torque deviation computing module, the rolling force deviation computing module, the rules precalculation module, roll-force partial differential matrix computations module, motor torque partial differential matrix computations module, inlet temperature is adjusted computing module, the rules computing module, rules are preserved module:
Described actual roll-force detects, and uses oil pressure sensor or the actual roll-force of pressure-measuring head sensor measurement;
Described real electrical machinery moment detects, and obtains real electrical machinery moment from motor transmission system;
Described equipment power can parameter, has embodied the mechanical performance of production equipment;
Described slab specifications parameter comprises the information such as size, tapping temperature, steel grade specification of slab;
Described product specification parameter comprises the information such as size, finishing temperature of product;
Described performance parameter comprises the information such as production technology specific (special) requirements, product quality requirement of product;
Described motor torque deviation computing module can calculate the deviation of setting motor torque and real electrical machinery moment in the passage of front;
Described rolling force deviation computing module can calculate the deviation of setting roll-force and actual roll-force in the passage of front;
Described rules precalculation module: can according to equipment power energy parameter, slab specifications parameter, product specification parameter and performance parameter, estimate to calculate rolling procedure;
Described roll-force partial differential matrix computations module is calculated rolling procedure on the estimation, calculates roll-force partial differential matrix;
Described motor torque partial differential matrix computations module is calculated rolling procedure on the estimation, calculates motor torque partial differential matrix;
Described inlet temperature is adjusted computing module, according to motor torque deviation, rolling force deviation, motor torque partial differential matrix and roll-force partial differential matrix, calculates the regulated quantity of steel plate inlet temperature;
Described rules computing module according to the result of inlet temperature adjustment computing module, is revised the rolling procedure of precomputation;
Described rules are preserved module, can preserve rolling procedure, are used for the self-adaptation control method of follow-up passage.
2. operation of rolling self-adaptation control method according to claim 1, is characterized in that: do not rely on temperature instrument, can calculate the rolled piece internal temperature by roll-force and motor torque etc.
3. operation of rolling self-adaptation control method according to claim 1 is characterized in that: first passage of rolling procedure, and this method is not regulated rolling procedure; From the second passage of rolling procedure, this method can realize the rolling optimization of rolling procedure.
4. operation of rolling self-adaptation control method according to claim 1, it is characterized in that: in the mid-early stage of rolling procedure, the leading factor that affects the adjustment amount is the motor torque deviation; In the later stage of rolling procedure, the leading factor that affects the adjustment amount is rolling force deviation.
5. one kind is utilized the described operation of rolling self-adaptation control method of claim 1 to 4 any one, it is characterized in that, comprises the steps:
Steps A, according to equipment power can parameter, slab specifications parameter, trimmed size parameter, performance parameter etc. carry out precomputation, obtain each physical quantity matrix of precomputation;
Step B, each physical quantity matrix computations that calculates according to steps A go out corresponding roll-force partial differential matrix;
Step C, each physical quantity matrix computations that calculates according to steps A go out corresponding motor torque partial differential matrix;
Step D, the roll-force measured value that obtains front two passages of the operation of rolling and motor torque measured value;
Step e, the rolling force deviation that calculates respectively front two passages and motor torque deviation, and calculate accordingly the temperature deviation regulated quantity of front two passages;
Step F, according to the passage of the calculating book as a result inlet temperature regulated quantity of step e;
Step G, according to the passage of the calculating book as a result inlet temperature of step F;
Step H, recomputate rolling procedure according to result of calculation and the current thickness of sheet material of step G, and obtain each physical quantity matrix, roll-force partial differential matrix, the motor torque partial differential matrix of corresponding precomputation, be used for the Self Adaptive Control of lower a time;
Step I, repeating step D are to the process of step H, until rolling completing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011103537823A CN103100564A (en) | 2011-11-10 | 2011-11-10 | Novel rolling process self-adaptive control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011103537823A CN103100564A (en) | 2011-11-10 | 2011-11-10 | Novel rolling process self-adaptive control method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103100564A true CN103100564A (en) | 2013-05-15 |
Family
ID=48308952
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011103537823A Pending CN103100564A (en) | 2011-11-10 | 2011-11-10 | Novel rolling process self-adaptive control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103100564A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106269911A (en) * | 2016-08-29 | 2017-01-04 | 首钢京唐钢铁联合有限责任公司 | Roughing reduction load distribution control method and roughing control system |
| CN107321799A (en) * | 2017-07-06 | 2017-11-07 | 重集团大连工程技术有限公司 | A kind of parameter of new mill control technique formulates integrated system |
| CN107520258A (en) * | 2016-06-22 | 2017-12-29 | 上海梅山钢铁股份有限公司 | The method of testing of cold rolling mill motor losses moment coefficient |
| CN108772424A (en) * | 2018-07-17 | 2018-11-09 | 桂林电子科技大学 | The offline dynamic detection automatic control system of finished product aluminium foil plate shape and its application method |
| CN112139261A (en) * | 2019-06-27 | 2020-12-29 | 宝山钢铁股份有限公司 | Target tapping temperature prediction control method for hot rolling heating furnace |
| CN112439796A (en) * | 2019-08-30 | 2021-03-05 | 上海梅山钢铁股份有限公司 | Rolling force automatic judgment method based on big data analysis |
| CN113426838A (en) * | 2021-06-29 | 2021-09-24 | 李炳集 | Secondary system of new generation of medium plate steckel mill and application method thereof |
| CN113780852A (en) * | 2021-09-16 | 2021-12-10 | 东北大学 | Diagnosis method for quality defects in plate and strip rolling process |
| CN113853496A (en) * | 2020-09-23 | 2021-12-28 | 深圳市大疆创新科技有限公司 | Motor control and detection method and device, holder and movable platform |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10127077A (en) * | 1996-10-23 | 1998-05-15 | Kawasaki Steel Corp | Motor control method |
| US6240756B1 (en) * | 1998-12-04 | 2001-06-05 | Kabushiki Kaisha Toshiba | Path scheduling method and system for rolling mills |
| CN1990131A (en) * | 2005-12-27 | 2007-07-04 | 宝山钢铁股份有限公司 | Roughed plate bloom temperature control method in hot-rolled process |
| CN101733289A (en) * | 2009-12-23 | 2010-06-16 | 北京理工大学 | Method for dynamically setting tandem rolling schedule of hot rolling strip |
-
2011
- 2011-11-10 CN CN2011103537823A patent/CN103100564A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10127077A (en) * | 1996-10-23 | 1998-05-15 | Kawasaki Steel Corp | Motor control method |
| US6240756B1 (en) * | 1998-12-04 | 2001-06-05 | Kabushiki Kaisha Toshiba | Path scheduling method and system for rolling mills |
| CN1990131A (en) * | 2005-12-27 | 2007-07-04 | 宝山钢铁股份有限公司 | Roughed plate bloom temperature control method in hot-rolled process |
| CN101733289A (en) * | 2009-12-23 | 2010-06-16 | 北京理工大学 | Method for dynamically setting tandem rolling schedule of hot rolling strip |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107520258B (en) * | 2016-06-22 | 2019-04-16 | 上海梅山钢铁股份有限公司 | The test method of cold rolling mill motor losses torque coefficient |
| CN107520258A (en) * | 2016-06-22 | 2017-12-29 | 上海梅山钢铁股份有限公司 | The method of testing of cold rolling mill motor losses moment coefficient |
| CN106269911A (en) * | 2016-08-29 | 2017-01-04 | 首钢京唐钢铁联合有限责任公司 | Roughing reduction load distribution control method and roughing control system |
| CN106269911B (en) * | 2016-08-29 | 2018-10-23 | 首钢京唐钢铁联合有限责任公司 | Roughing reduction load distribution control method and roughing control system |
| CN107321799B (en) * | 2017-07-06 | 2020-06-12 | 一重集团大连工程技术有限公司 | Novel parameter setting integrated system for twenty-roller mill control process |
| CN107321799A (en) * | 2017-07-06 | 2017-11-07 | 重集团大连工程技术有限公司 | A kind of parameter of new mill control technique formulates integrated system |
| CN108772424A (en) * | 2018-07-17 | 2018-11-09 | 桂林电子科技大学 | The offline dynamic detection automatic control system of finished product aluminium foil plate shape and its application method |
| CN112139261A (en) * | 2019-06-27 | 2020-12-29 | 宝山钢铁股份有限公司 | Target tapping temperature prediction control method for hot rolling heating furnace |
| CN112139261B (en) * | 2019-06-27 | 2022-08-16 | 宝山钢铁股份有限公司 | Target tapping temperature prediction control method for hot rolling heating furnace |
| CN112439796A (en) * | 2019-08-30 | 2021-03-05 | 上海梅山钢铁股份有限公司 | Rolling force automatic judgment method based on big data analysis |
| CN113853496A (en) * | 2020-09-23 | 2021-12-28 | 深圳市大疆创新科技有限公司 | Motor control and detection method and device, holder and movable platform |
| WO2022061592A1 (en) * | 2020-09-23 | 2022-03-31 | 深圳市大疆创新科技有限公司 | Method and apparatus for controlling and detecting motor, pan-tilt and movable platform |
| CN113426838A (en) * | 2021-06-29 | 2021-09-24 | 李炳集 | Secondary system of new generation of medium plate steckel mill and application method thereof |
| CN113780852A (en) * | 2021-09-16 | 2021-12-10 | 东北大学 | Diagnosis method for quality defects in plate and strip rolling process |
| CN113780852B (en) * | 2021-09-16 | 2024-03-05 | 东北大学 | A diagnostic method for quality defects in the strip rolling process |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103100564A (en) | Novel rolling process self-adaptive control method | |
| JP4452323B2 (en) | Learning method of rolling load prediction in hot strip rolling. | |
| CN101683659B (en) | Comprehensive control method for flatness and lateral thickness difference of cold-rolled strip steel | |
| CN102632085B (en) | Cold-rolled strip steel plate shape control system and method | |
| CN107363105B (en) | A kind of control method and device of hot rolled coil head thickness | |
| CN102172639B (en) | A Dynamic Alternative Adjustment Method for Work Roll Bending Overrun in Cold Rolling Mill | |
| CN106166566A (en) | Hot finisher goes out side temperature control equipment and control method thereof | |
| CN101869914A (en) | Thickness control method of finish roller strip steel and device | |
| CN102601127A (en) | High-precision strip shape control prediction method for CVC (continuously variable crown) four-roll cold rolling mill | |
| CN103406370B (en) | FHM-based (fuzzy hyperbolic model-based) cold-rolling mill working roll emulsion sectional cooling control method | |
| CN103433295A (en) | Method for controlling convexity of single-rack double-coiler aluminum hot mill | |
| CN102189117A (en) | Cold rolled steel strip straightness feedforward control method based on transverse performance detection | |
| CN102363159B (en) | Thickness control method for single precision cold-rolled sheet thickness measuring system | |
| CN102896156A (en) | Optimization method of hot-rolled strip steel roll gap model | |
| CN104785543A (en) | Hot rolled strip convexity feedback control method based on moving average filter | |
| CN1091008C (en) | Interlinked control method for plate-band rolling course based on coordination law of plate shape and plate thickness | |
| CN106984651A (en) | Online control system for improving thickness control precision of rolled piece | |
| CN103861875B (en) | The optimal control method of cold-rolling mill technical cooling system | |
| CN105478490A (en) | Control device of tandem rolling mill and control method | |
| CN102553941A (en) | Off-line self-learning method of plate-shaped regulating efficiency coefficient of cold rolling mill | |
| CN103831304A (en) | Method and system for calculating target width of hot continuous rolling intermediate billet | |
| CN102161054A (en) | Plate shape closed-loop control method based on influencing self learning of matrix | |
| CN111036685B (en) | Monitoring thickness control method based on improved estimation compensation | |
| CN104942020A (en) | Wear compensation and self-adaption method for hot continuous rolling backup roller | |
| CN102527737B (en) | Offline self-learning system for strip shape control efficiency coefficient of cold-rolling mill |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130515 |