CN102645896A - Operation method applied to concentration intelligent control - Google Patents
Operation method applied to concentration intelligent control Download PDFInfo
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- CN102645896A CN102645896A CN2012101230143A CN201210123014A CN102645896A CN 102645896 A CN102645896 A CN 102645896A CN 2012101230143 A CN2012101230143 A CN 2012101230143A CN 201210123014 A CN201210123014 A CN 201210123014A CN 102645896 A CN102645896 A CN 102645896A
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Abstract
An operation method applied to concentration intelligent control comprises performing comparative calculation on collected concentration values and a target concentration value desired to be controlled based on the Sanbtech algorithm; and obtaining an initial output value by the Sanbtech algorithm after giving default parameters, adapting operating conditions by acquiring feed concentration values through the Sanbtech algorithm in the different operating conditions, and intelligently obtaining optimal matched output in the different operating conditions to satisfy the concentration control demand. The inventive operation method has self-learning, self-adaption and intelligent matched output functions, can meet the application requirements of different operating conditions, and has the characteristics of wide application range, high control accuracy, high control speed and good stability.
Description
Technical field
The present invention relates to the comparison control algolithm, be specially a kind of operational method that is applied to the concentration Based Intelligent Control.
Background technology
There is following shortcoming in existing at present relatively control algolithm commonly used: different operating mode needs are according to abundant on-site experience; Regulate suitable parameters and could realize optimum matching output; Otherwise occur overshoot or less stress easily, occur vibration easily, control accuracy can't be met the demands.Want optimum matching output, the control time is long.When operating mode changes, must change parameter and just can satisfy demand for control.
In numerous industrial application, often use the comparison control algolithm, such as temperature control, concentration control etc.In these were used, different equipment, its operating mode of production Different products were absolutely different, often needed veteran slip-stick artist according to on-the-spot actual condition the control algolithm technological parameter to be set; And debug repeatedly; Finally satisfy technological requirement, some in addition can't satisfy technological requirement, or control accuracy is poor; When process conditions change, need readjust again.Cause the setting of product processes parameter like this and produce the degree of stability of product big to slip-stick artist's experience level dependence.Can't satisfy robotization control, it is high to produce the product defect rate, and quality is low.
Summary of the invention
The technical matters that the present invention solved is to provide a kind of operational method that is applied to the concentration Based Intelligent Control, to solve the shortcoming in the above-mentioned background technology.
The technical matters that the present invention solved adopts following technical scheme to realize:
A kind of operational method that is applied to the concentration Based Intelligent Control may further comprise the steps:
The first step: realize the concentration value that collects and hope that controlled aimed concn value compares calculating based on the SANBTECH algorithm;
Second step: behind given default parameters; The SANBTECH algorithm will provide initial output valve, and under different operating modes, the SANBTECH algorithm can be through gathering feedback concentration value self-adaptation operating mode; Intelligence provides optimum matching output under the different operating modes, to satisfy concentration control requirement.
Among the present invention, in the said SANBTECH fuzzy theory algorithm principle, its core is exactly the introducing of rule factor α, and the size of rule factor α value directly influences the optimal proportion relation of output valve and measured value, and its theoretical foundation is shown below:
In the formula:
α--rule factor
E-error
E Mid, α
MidThe rotation basic point of-fair curve is horizontal, ordinate value, generally get (
N/ 2,0.5),
k 0The initial slope of-fair curve;
Ec Max(
n-1)-the maximum error rate of change of a last response phase.
Beneficial effect
Self study of the present invention, self-adaptation, intelligence are mated output function, can satisfy the application need of different operating modes, and range of application is wider; Control accuracy is higher; Control rate is faster; Good stability; The present invention is through experiment, and simulation is used; Proof should be invented feasible fully, possessed self-adaptation fully, intelligence coupling output function; And compare with its control algolithm, exclusive self study accurately, self-adaptation, intelligence are mated output function, can satisfy the application need of different operating modes; Control accuracy is high simultaneously, the characteristics that control rate is fast.Creatively with under the different operating modes, only need the identical parameter of input, just can make concentration control output operate in the optimum optimization matching status all the time, reach high control precision.
Embodiment
For technological means, creation characteristic that the present invention is realized, reach purpose and effect and be easy to understand and understand, below in conjunction with specific embodiment, further set forth the present invention.
Embodiment 1
Realize the concentration value that collects and hope that controlled aimed concn value compares calculating based on the SANBTECH algorithm; Behind given default parameters, the SANBTECH algorithm will provide initial output valve, and under different operating modes, the SANBTECH algorithm can be through gathering feedback concentration value self-adaptation operating mode, and intelligence provides optimum matching output under the different operating modes, to satisfy concentration control requirement.In the said SANBTECH fuzzy theory algorithm principle, its core is exactly the introducing of rule factor α, and the size of rule factor α value directly influences the optimal proportion relation of output valve and measured value, and its theoretical foundation is shown below:
The present invention utilizes SANBTECH fuzzy theory comparison algorithm, and optimal control and output are handled in the operational order and the online high-speed computation that collect powerful.System at first provides acquiescence initial value value, exports then, and system is according to the variation tendency of output back to the concentration feedback, and real-time online is exported regulating and controlling, the different needs of self study, the different operating modes of self-adaptation.
A kind of operational method that is applied to the concentration Based Intelligent Control is in the s operation control process; Online in real time detects feedback concentration height, under processor high speed computing and adjustment, and closed-loop control output signal magnitude; Make system be in balance movement all the time, running status is optimized in the output response fast.Exclusive self study accurately, self-adaptation, intelligence are mated output function, can satisfy the application need of different operating modes, and control accuracy is high simultaneously, the characteristics that control rate is fast.
A kind of operational method that is applied to the concentration Based Intelligent Control of the present invention adopts intelligentized microprocessor control, utilizes SANBTECH to blur comparison algorithm, and optimal control and output are handled in the operational order and the online high-speed computation that collect powerful.System at first provides acquiescence initial value value, exports then, and system is according to the variation tendency of output back to the concentration feedback, and real-time online is exported regulating and controlling, the different needs of self study, the different operating modes of self-adaptation.A kind of operational method that is applied to the concentration Based Intelligent Control is in the s operation control process; Online in real time detects feedback concentration height, under processor high speed computing and adjustment, and closed-loop control output signal magnitude; Make system be in balance movement all the time, running status is optimized in the output response fast.The method can be taken into account error, error changes, and online adjustment control law is well improved control performance, and this algorithm is fairly simple, is easy to realize.SANBTECH self-adjusting FUZZY ALGORITHMS FOR CONTROL makes the adjustment factor of analytic expression fuzzy rule not only become with error change; Also relation is arranged, compare control algolithm, taken into account two input quantities of fuzzy controller than routine with error rate; Improved the robustness of system; Improve the steady stability characteristic effectively, take into account the rapidity of dynamic perfromance simultaneously, this makes system can reach adaptive purpose in different working conditions.
The present invention is utilized on the dimethyl formamide concentration online monitoring method appearance; Realized that dimethyl formamide concentration online in real time is measured and control in dimethyl formamide in the wet production line coagulating basin (DMF) mixed solution; It can directly demonstrate in the coagulating basin dimethyl formamide percent concentration in the dimethyl formamide mixed solution this control system; And the value that can will measure is on LCDs; Simultaneously the user can be in this system sets the concentration of DMF in the coagulating basin according to technological requirement; Intelligence control system will compare and calculate according to the concentration value of current concentration value that measures and setting, and the output control signal is used for controlling in real time the flow size that gets into dilution in the coagulating basin, thereby realizes that dimethyl formamide concentration is consistent with setting value in the mixed solution; Keep dimethyl formamide concentration stabilize in the mixed solution in the coagulating basin, accurately controlled.
More than show and described ultimate principle of the present invention and principal character and advantage of the present invention; The technician of the industry should understand; The present invention is not restricted to the described embodiments; That describes in the foregoing description and the instructions just explains principle of the present invention, and under the prerequisite that does not break away from spirit and scope of the invention, the present invention also has various changes and modifications; These variations and improvement all fall in the scope of the invention that requires protection, and the present invention requires protection domain to be defined by appending claims and equivalent thereof.
Claims (2)
1. an operational method that is applied to the concentration Based Intelligent Control is characterized in that, may further comprise the steps:
The first step: realize the concentration value that collects and hope that controlled aimed concn value compares calculating based on the SANBTECH algorithm;
Second step: behind given default parameters; The SANBTECH algorithm will provide initial output valve, and under different operating modes, the SANBTECH algorithm can be through gathering feedback concentration value self-adaptation operating mode; Intelligence provides optimum matching output under the different operating modes, to satisfy concentration control requirement.
2. a kind of operational method that is applied to the concentration Based Intelligent Control according to claim 1; It is characterized in that; In the said SANBTECH fuzzy theory algorithm principle; Its core is exactly the introducing of rule factor α, and the size of rule factor α value directly influences the optimal proportion relation of output valve and measured value, and its theoretical foundation is shown below:
In the formula:
α--rule factor
E-error
E Mid, α
MidThe rotation basic point of-fair curve is horizontal, ordinate value, generally get (
N/ 2,0.5),
k 0The initial slope of-fair curve;
Ec Max(
n-1)-the maximum error rate of change of a last response phase.
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| CN2012101230143A CN102645896A (en) | 2012-04-25 | 2012-04-25 | Operation method applied to concentration intelligent control |
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| CN2012101230143A CN102645896A (en) | 2012-04-25 | 2012-04-25 | Operation method applied to concentration intelligent control |
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| CN102645896A true CN102645896A (en) | 2012-08-22 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113272052A (en) * | 2018-11-04 | 2021-08-17 | 瓦尤森斯有限公司 | System method and computing device for industrial production process automation control |
Citations (3)
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| JPH09326956A (en) * | 1996-06-01 | 1997-12-16 | Koito Ind Ltd | Iris controller and vehicle number reader using it |
| CN1544912A (en) * | 2003-11-28 | 2004-11-10 | 华中科技大学 | Concentration changing and sending adjusting device |
| CN102122132A (en) * | 2010-01-11 | 2011-07-13 | 北京航空航天大学 | Intelligent control system for environmental simulation system based on a fuzzy neural network |
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2012
- 2012-04-25 CN CN2012101230143A patent/CN102645896A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09326956A (en) * | 1996-06-01 | 1997-12-16 | Koito Ind Ltd | Iris controller and vehicle number reader using it |
| CN1544912A (en) * | 2003-11-28 | 2004-11-10 | 华中科技大学 | Concentration changing and sending adjusting device |
| CN102122132A (en) * | 2010-01-11 | 2011-07-13 | 北京航空航天大学 | Intelligent control system for environmental simulation system based on a fuzzy neural network |
Non-Patent Citations (3)
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| 《电力电子技术》 20070630 付华等 自调整模糊控制在矿井局部通风机中的应用 27-28,62 2 第41卷, 第06期 * |
| 付华等: "自调整模糊控制在矿井局部通风机中的应用", 《电力电子技术》 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113272052A (en) * | 2018-11-04 | 2021-08-17 | 瓦尤森斯有限公司 | System method and computing device for industrial production process automation control |
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Application publication date: 20120822 |