CN104120456A - Fuzzy control method of aluminum electrolysis - Google Patents
Fuzzy control method of aluminum electrolysis Download PDFInfo
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- CN104120456A CN104120456A CN201410373014.8A CN201410373014A CN104120456A CN 104120456 A CN104120456 A CN 104120456A CN 201410373014 A CN201410373014 A CN 201410373014A CN 104120456 A CN104120456 A CN 104120456A
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- 229910052782 aluminium Inorganic materials 0.000 title claims abstract description 87
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 title claims abstract description 80
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000005868 electrolysis reaction Methods 0.000 title claims abstract description 18
- 239000003792 electrolyte Substances 0.000 claims abstract description 64
- 238000011217 control strategy Methods 0.000 claims abstract description 5
- 239000004411 aluminium Substances 0.000 claims description 69
- 229930091051 Arenine Natural products 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 abstract description 3
- 238000001514 detection method Methods 0.000 abstract description 2
- 238000002425 crystallisation Methods 0.000 abstract 2
- 230000008025 crystallization Effects 0.000 abstract 2
- 230000001276 controlling effect Effects 0.000 abstract 1
- 230000001105 regulatory effect Effects 0.000 abstract 1
- PUZPDOWCWNUUKD-UHFFFAOYSA-M sodium fluoride Chemical compound [F-].[Na+] PUZPDOWCWNUUKD-UHFFFAOYSA-M 0.000 description 10
- AZDRQVAHHNSJOQ-UHFFFAOYSA-N alumane Chemical compound [AlH3] AZDRQVAHHNSJOQ-UHFFFAOYSA-N 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 4
- IRPGOXJVTQTAAN-UHFFFAOYSA-N 2,2,3,3,3-pentafluoropropanal Chemical compound FC(F)(F)C(F)(F)C=O IRPGOXJVTQTAAN-UHFFFAOYSA-N 0.000 description 2
- KLZUFWVZNOTSEM-UHFFFAOYSA-K Aluminum fluoride Inorganic materials F[Al](F)F KLZUFWVZNOTSEM-UHFFFAOYSA-K 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- UPLPHRJJTCUQAY-WIRWPRASSA-N 2,3-thioepoxy madol Chemical compound C([C@@H]1CC2)[C@@H]3S[C@@H]3C[C@]1(C)[C@@H]1[C@@H]2[C@@H]2CC[C@](C)(O)[C@@]2(C)CC1 UPLPHRJJTCUQAY-WIRWPRASSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000010297 mechanical methods and process Methods 0.000 description 1
- 230000005226 mechanical processes and functions Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
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- Electrolytic Production Of Metals (AREA)
- Electrolytic Production Of Non-Metals, Compounds, Apparatuses Therefor (AREA)
Abstract
The invention provides a fuzzy control method of aluminum electrolysis. The fuzzy control method comprises the following steps of firstly, carrying out electrolyte temperature classification; secondly, carrying out primary crystallization temperature classification; and thirdly, regulating and controlling an electrolytic cell by virtue of a control strategy provided by a nine-zone control method. Compared with the prior art, when the fuzzy control method of aluminum electrolysis is applied, the primary crystallization temperature is described by virtue of the variation tendency of the electrolyte temperature, molecular ratio, voltage and charging amount. Compared with the results obtained by online detection and theoretical calculation, the results obtained by the fuzzy control method are more accurate, and thus the control zone of the aluminum electrolytic cell is more accurately partitioned, and the aluminum electrolytic cell is well controlled by virtue of the nine-zone control method.
Description
[technical field]
The present invention relates to aluminium cell technical field, relate in particular to a kind of electrolysis fuzzy control method of aluminium cell.
[background technology]
Conventional aluminum electrolyzer is controlled and mainly to be depended on people, and whether the quality of electrolyzer running status, trough the impact that is subject to a great extent process engineer's level of management such as stablize.But process engineer's ability is uneven, these have seriously hindered the standardized realization of electrolysis process.If anomaly is not in time or process decision error, can havoc electrolyzer thermal equilibrium, electrolyzer stability is reduced, processing condition fluctuation is large, to electrolyzer is energy-saving and cost-reducing, has a negative impact.In correlation technique, in order to address this is that, the electrolysis process control technique Shi Jiu district adopting in correlation technique controls method, as shown in table 1.
Table 1
Table 1 Wei Jiu district's control table, by liquidus temperature and aluminium electrolyte temperature measuring value judgement electrolyzer cold-hot condition, electrolysis temperature and liquidus temperature are divided into respectively to high, medium and low Three Estate, control area is divided into nine regions, the control strategy regulation and control electrolyzer that utilizes nine district's control methods to provide.But, in actual mechanical process, because the measurement of liquidus temperature is complicated, equipment requirements is high, can not realize conventional online detection, and while calculating liquidus temperature by theoretic formula, because composition analysis is not comprehensive etc., reason causes the deviation of liquidus temperature large, causes subregion inaccurate, and nine district's control methods are difficult to effective application.
Therefore, be necessary to provide a kind of new electrolysis of aluminum fuzzy control method to solve the problems of the technologies described above in fact.
[summary of the invention]
The technical problem that the present invention need solve is the deficiency that overcomes technical background, and a kind of electrolysis of aluminum fuzzy control method of accurately subregion is provided.
An electrolysis of aluminum fuzzy control method, is characterized in that, described electrolysis of aluminum fuzzy control method comprises the steps:
Step 1, carry out aluminium electrolyte temperature classification
If the temperature control centre value of the electrolyzer of surveying is a ℃, aluminium electrolyte temperature is decided to be to 2 grades at (a-50) ℃-(a+50) ℃, aluminium electrolyte temperature < (a-50) ℃ is decided to be to 1 utmost point, aluminium electrolyte temperature > (a+50) ℃ is decided to be to 3 utmost points.
Step 2, carry out liquidus temperature classification
Liquidus temperature is just described with variation tendency, molecular ratio, voltage, the discharge quantity of aluminium electrolyte temperature, and liquidus temperature value is made as to K, by the size of K value, realizes liquidus temperature classification, is specifically made as:
K<-0.4 is 1 grade, and-0.4≤K < 0.4 is 2 grades, and K>0.4 is 3 grades.
The algorithm of K value is as follows: first, determine the variation tendency of aluminium electrolyte temperature, the variation tendency of aluminium electrolyte temperature is calculated by the method for weighted moving average,
The variation tendency of aluminium electrolyte temperature is made as to A, A=(W
1-W
2) * 1+ (W
1-W
3) * 2+ (W
1-W
4) * 3+ (W
1-W
5) * 4, in formula:
A: the variation tendency of aluminium electrolyte temperature, unit ℃,
W
1: take and measure the aluminium electrolyte temperature of first 1 day that be starting point the same day, unit ℃,
W
2: take and measure the aluminium electrolyte temperature of first 2 days that be starting point the same day, unit ℃,
W
3: take and measure the aluminium electrolyte temperature of first 3 days that be starting point the same day, unit ℃,
W
4: take and measure the aluminium electrolyte temperature of first 4 days that be starting point the same day, unit ℃,
W
5: take and measure the aluminium electrolyte temperature of first 5 days that be starting point the same day, unit ℃.
The A value calculating is divided into-2 grades ,-1 grade, 0 grade, 1 grade and 2 grades of five grades, specific as follows: A≤-5 are-2 grades,-5<A<-2 is-1 grade,-2<A<2 is 0 grade, 2<A<5 is 1 grade, and A >=5 are 2 grades.
Then the value that variation tendency grade, molecular ratio, voltage, the discharge quantity of aluminium electrolyte temperature is weighted to summation is for being K value, the size of each weights and aluminium cell and related process relating to parameters, and the concrete size of weights obtains by test.
Step 3, subregion, utilize nine district's control method regulation and control electrolyzers
Take aluminium electrolyte temperature value as transverse axis, take liquidus temperature value as the longitudinal axis, by the aluminium electrolyte temperature classification obtaining in step 1, transverse axis is partitioned into 3 aluminium electrolyte temperature regions, by the liquidus temperature classification obtaining in step 2, the longitudinal axis is divided into 3 liquidus temperature regions, intersecting of 3 aluminium electrolyte temperature regions and 3 liquidus temperature regions is nine regions, these nine regions are nine regions in the control table of 9th district, the control strategy regulation and control electrolyzer that utilizes nine district's control methods to provide.
Compare with correlation technique, during electrolysis of aluminum fuzzy control method application of the present invention, its liquidus temperature is just described with variation tendency, molecular ratio, voltage, the discharge quantity of aluminium electrolyte temperature, more accurate than the online result that detects and obtain by Theoretical Calculation, therefore can carry out subregion more accurately to the control area of electrolyzer, the nine districts' control methods of better applying are controlled electrolyzer.
[embodiment]
Below in conjunction with embodiment, the invention will be further described.
The aluminium cell (200KA) of a section in certain factory building of take is example, and the electrolysis of aluminum fuzzy control method of this electrolyzer comprises the steps:
Step 1, carry out aluminium electrolyte temperature classification
The temperature control centre value of the electrolyzer of surveying is 950 ℃, and aluminium electrolyte temperature is decided to be to 2 grades between 900 ℃-950 ℃, and aluminium electrolyte temperature <900 ℃ is decided to be to 1 utmost point, and aluminium electrolyte temperature >950 ℃ is decided to be to 3 utmost points.
Step 2, carry out liquidus temperature classification
Liquidus temperature is just described with variation tendency, molecular ratio, voltage, the discharge quantity of aluminium electrolyte temperature, first, determine the variation tendency of aluminium electrolyte temperature, the variation tendency of aluminium electrolyte temperature represents by the method for weighted moving average, the variation tendency of aluminium electrolyte temperature is made as A, A=(W
1-W
2) * 1+ (W
1-W
3) * 2+ (W
1-W
4) * 3+ (W
1-W
5) * 4, in formula: A: the variation tendency of aluminium electrolyte temperature, unit ℃, W
1: take and measure the aluminium electrolyte temperature of first 1 day that be starting point the same day, unit ℃, W
2: take and measure the aluminium electrolyte temperature of first 2 days that be starting point the same day, unit ℃, W
3: take and measure the aluminium electrolyte temperature of first 3 days that be starting point the same day, unit ℃, W
4: take and measure the aluminium electrolyte temperature of first 4 days that be starting point the same day, unit ℃, W
5: take and measure the aluminium electrolyte temperature of first 5 days that be starting point the same day, unit ℃; Then the A value calculating by above formula is divided into-2 grades ,-1 grade, 0 grade, 1 grade and 2 grades of five grades, specific as follows: A≤-5 are-2 grades,-5<A<-2 is-1 grade,-2<A<2 is 0 grade, 2<A<5 is 1 grade, and A>=5 are 2 grades; Then the value that the variation tendency grades such as molecular ratio, voltage, discharge quantity, aluminium electrolyte temperature is weighted to summation is K, (size of each weights and aluminium cell and related process relating to parameters, the concrete size of weights obtains by test) K value is divided into 1,2,3 grade, K<-0.4 is 1 grade, by-0.4≤K < 0.4, it is 2 grades, K>0.4 is 3 grades, realizes liquidus temperature classification.
Step 3, subregion, utilize nine district's control method regulation and control electrolyzers
Take aluminium electrolyte temperature value as transverse axis, take liquidus temperature value as the longitudinal axis, by the aluminium electrolyte temperature classification obtaining in step 1, transverse axis is partitioned into 3 aluminium electrolyte temperature regions, by the liquidus temperature classification obtaining in step 2, the longitudinal axis is divided into 3 liquidus temperature regions, intersecting of 3 aluminium electrolyte temperature regions and 3 liquidus temperature regions is nine regions, these nine regions are nine regions in the control table of 9th district, the control strategy regulation and control electrolyzer that utilizes nine district's control methods to provide.As shown in table 1: in this factory building, the electrolysis temperature of certain electrolyzer of this section is low, liquidus temperature is low, as aluminium electrolyte temperature <900 ℃, and during liquidus temperature K<-0.4, now can correspond to 1st district in the control table of 9th district.Again from analyzing the factor (technology that industry is all known is not repeating) find out important influence controlled parameter controlled parameter villiaumite, aluminum yield, voltage here.In determining controlled parameter, rise material impact for villiaumite time, according to the strategy in 1st district in the control table of 9th district, reduce villiaumite (in table 1, villiaumite be take aluminum fluoride as example), in the present embodiment, during the regulation and control of 200KA aluminium cell, villiaumite minimizing amplitude is no more than 6kg.In this factory building, the aluminium electrolyte temperature of certain electrolyzer of this section is at 900 ℃-950 ℃, and during liquidus temperature K<-0.4, now can correspond to 2nd district in the control table of 9th district.Again from analyzing the factor (technology that industry is all known is not repeating) find out important influence controlled parameter controlled parameter villiaumite, aluminum yield, voltage here.In determining controlled parameter, rise material impact for villiaumite time, according to the strategy in 2nd district in the control table of 9th district, reduce villiaumite (in table 1, villiaumite be take aluminum fluoride as example), in the present embodiment, during the regulation and control of 200KA aluminium cell, villiaumite minimizing amplitude is no more than 3kg.
Compare with correlation technique, during electrolysis of aluminum fuzzy control method application of the present invention, its liquidus temperature is just described with variation tendency, molecular ratio, voltage, the discharge quantity of aluminium electrolyte temperature, more accurate than the online result that detects and obtain by Theoretical Calculation, therefore can carry out subregion more accurately to the control area of electrolyzer, the nine districts' control methods of better applying are controlled electrolyzer.
Above-described is only embodiments of the present invention, at this, it should be pointed out that for the person of ordinary skill of the art, without departing from the concept of the premise of the invention, can also make improvement, but these all belongs to protection scope of the present invention.
Claims (1)
1. an electrolysis of aluminum fuzzy control method, is characterized in that, described electrolysis of aluminum fuzzy control method comprises the steps:
Step 1, carry out aluminium electrolyte temperature classification
If the temperature control centre value of the electrolyzer of surveying is a ℃, aluminium electrolyte temperature is decided to be to 2 grades at (a-50) ℃-(a+50) ℃, aluminium electrolyte temperature < (a-50) ℃ is decided to be to 1 utmost point, aluminium electrolyte temperature > (a+50) ℃ is decided to be to 3 utmost points;
Step 2, carry out liquidus temperature classification
Liquidus temperature is just described with variation tendency, molecular ratio, voltage, the discharge quantity of aluminium electrolyte temperature, liquidus temperature value is made as to K, the size of pressing K value realizes liquidus temperature classification, specifically be made as: K<-0.4 is 1 grade,-0.4≤K < 0.4 is 2 grades, and K>0.4 is 3 grades;
The algorithm of K value is as follows: first, determine the variation tendency of aluminium electrolyte temperature, the variation tendency of aluminium electrolyte temperature is calculated by the method for weighted moving average,
The variation tendency of aluminium electrolyte temperature is made as to A, A=(W
1-W
2) * 1+ (W
1-W
3) * 2+ (W
1-W
4) * 3+ (W
1-W
5) * 4, in formula:
A: the variation tendency of aluminium electrolyte temperature, unit ℃,
W
1: take and measure the aluminium electrolyte temperature of first 1 day that be starting point the same day, unit ℃,
W
2: take and measure the aluminium electrolyte temperature of first 2 days that be starting point the same day, unit ℃,
W
3: take and measure the aluminium electrolyte temperature of first 3 days that be starting point the same day, unit ℃,
W
4: take and measure the aluminium electrolyte temperature of first 4 days that be starting point the same day, unit ℃,
W
5: take and measure the aluminium electrolyte temperature of first 5 days that be starting point the same day, unit ℃;
The A value calculating is divided into-2 grades ,-1 grade, 0 grade, 1 grade and 2 grades of five grades, specific as follows: A≤-5 are-2 grades,-5<A<-2 is-1 grade,-2<A<2 is 0 grade, 2<A<5 is 1 grade, and A >=5 are 2 grades;
Then the value that variation tendency grade, molecular ratio, voltage, the discharge quantity of aluminium electrolyte temperature is weighted to summation is for being K value;
Step 3, subregion, utilize nine district's control method regulation and control electrolyzers
Take aluminium electrolyte temperature value as transverse axis, take liquidus temperature value as the longitudinal axis, by the aluminium electrolyte temperature classification obtaining in step 1, transverse axis is partitioned into 3 aluminium electrolyte temperature regions, by the liquidus temperature classification obtaining in step 2, the longitudinal axis is divided into 3 liquidus temperature regions, intersecting of 3 aluminium electrolyte temperature regions and 3 liquidus temperature regions is nine regions, these nine regions are nine regions in the control table of 9th district, the control strategy regulation and control electrolyzer that utilizes nine district's control methods to provide.
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| CN201410373014.8A CN104120456B (en) | 2014-07-31 | 2014-07-31 | Aluminium electroloysis fuzzy control method |
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| CN104120456B CN104120456B (en) | 2016-06-22 |
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Cited By (5)
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|---|---|---|---|---|
| CN104451779A (en) * | 2014-12-17 | 2015-03-25 | 湖南创元铝业有限公司 | Aluminum fluoride control method of aluminum electrolytic cell |
| CN104480495A (en) * | 2014-12-17 | 2015-04-01 | 湖南创元铝业有限公司 | Method for controlling aluminium tapping volume of single groove of aluminium electrolysis cell |
| CN106835200A (en) * | 2015-12-03 | 2017-06-13 | 中国科学院青海盐湖研究所 | Aluminum electrolysis cell region control system |
| CN106835201A (en) * | 2015-12-03 | 2017-06-13 | 中国科学院青海盐湖研究所 | Aluminium cell control method based on fuzzy clustering algorithm |
| CN115566706A (en) * | 2022-11-10 | 2023-01-03 | 西南交通大学 | Fuzzy control method for alkaline electrolysis hydrogen production system |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104451779A (en) * | 2014-12-17 | 2015-03-25 | 湖南创元铝业有限公司 | Aluminum fluoride control method of aluminum electrolytic cell |
| CN104480495A (en) * | 2014-12-17 | 2015-04-01 | 湖南创元铝业有限公司 | Method for controlling aluminium tapping volume of single groove of aluminium electrolysis cell |
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| CN106835200A (en) * | 2015-12-03 | 2017-06-13 | 中国科学院青海盐湖研究所 | Aluminum electrolysis cell region control system |
| CN106835201A (en) * | 2015-12-03 | 2017-06-13 | 中国科学院青海盐湖研究所 | Aluminium cell control method based on fuzzy clustering algorithm |
| CN106835200B (en) * | 2015-12-03 | 2019-01-22 | 中国科学院青海盐湖研究所 | Aluminum electrolysis cell region control system |
| CN106835201B (en) * | 2015-12-03 | 2019-01-22 | 中国科学院青海盐湖研究所 | Aluminium cell based on fuzzy clustering algorithm controls method |
| CN115566706A (en) * | 2022-11-10 | 2023-01-03 | 西南交通大学 | Fuzzy control method for alkaline electrolysis hydrogen production system |
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