CN102662373B - Intelligent control system of annular mould granulator based on expert system - Google Patents
Intelligent control system of annular mould granulator based on expert system Download PDFInfo
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- CN102662373B CN102662373B CN201210143358.0A CN201210143358A CN102662373B CN 102662373 B CN102662373 B CN 102662373B CN 201210143358 A CN201210143358 A CN 201210143358A CN 102662373 B CN102662373 B CN 102662373B
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Abstract
The invention discloses an intelligent control system of an annular mould granulator based on an expert system, comprising the annular mould granulator, a temperature sensor arranged at an outlet of a conditioner, a current sensor and an expert control system, wherein the current sensor and the expert control system are arranged on a main machine of the granulator; the expert control system is an intelligent control system formed by a computer and the work principle is that: a main motor current signal of the annular mould granulator and an outlet temperature signal of the conditioner are collected; and information treatment, an inference engine and a corresponding control rule are identified according to the characteristics of the expert control system to obtain corresponding control signals so as to control steam amount and feeding amount of the annular mould granulator. The intelligent control system disclosed by the invention has the advantages that: the intelligent control system is not influenced by materials at an inlet of the conditioner; meanwhile, the reasonable steam amount adjustment and feed amount adjustment can be carried out; and the quality of granulation is guaranteed and a motor of the granulator is at a full-power operation state, so that the best production benefit of the granulator is realized, the energy is saved and the blocking phenomenon of the granulator is effectively avoided.
Description
Technical field
The invention belongs to automatic control technology field, be specifically related to a kind of ring die pelleter intelligent control system based on expert system.
Background technology
Ring die pelleter is current conventional Feed Manufacturing machinery, and more than the common 100KW of installed capacity, therefore, in Feed Manufacturing process, ensure, under the prerequisite of granulate quality, how to enhance productivity (reduce and consume) is the problem that must consider.Current domestic ring die pelleter adopts manual control mostly, is difficult to solve this two problems simultaneously.In addition, environment labour intensity poor, operating personnel in ring die pelleter working site is large, is also to impel to adopt the reason of automatically controlling.But ring die pelleter belongs to complicated production, contain the processes such as non-linear, time variation, Multivariable Coupling, large time delay, even if some ring die pelleters have been equipped with automatic control system, be also difficult to normally put into operation.
Summary of the invention
Goal of the invention: the object of the invention is in order to solve the deficiencies in the prior art, a kind of ring die pelleter intelligent control system based on expert system that improves productivity effect is provided.
Technical scheme: a kind of ring die pelleter intelligent control system based on expert system of the present invention, comprise ring die pelleter, be located at ring die pelleter quality-adjusting device outlet temperature sensor, be located at current sensor and expert control system on ring die pelletizing owner motor, described expert control system is connected with ring die pelleter, and the input end of described expert control system is connected with described temperature sensor and described current sensor respectively; The intelligent control system that described expert control system is made up of computing machine; described expert control system control procedure is: by the Main motor current signal of the ring die pelleter collecting and quality-adjusting device outlet temperature signal; pass through successively feature identification information processing, inference machine and control rule base; described inference machine and control rule base are to set up based on knowledge base; finally export control signal to ring die pelleter; described ring die pelleter control procedure comprises start-up course control and normal course of operation control, and wherein start-up course control comprises the steps:
First paragraph t0.0-t0.3: the rotating speed of feeder rises to n0.3 with slope in time t0 .3, steam control loop is started working; Once feeder reaches minimum speed, steam adding set is connected, and after time delay a period of time, liquid control starts to connect; Now, by ratio control mode, taking feeding capacity as master variable, the addition of corresponding adjustment steam, moisture is monitored the outlet temperature of quality-adjusting device simultaneously;
Second segment starts from t0.3: reach desired speed value n0.3 at feeder, proceed in the mode of increment and progressively approach rated speed; In each control clock of determining based on the modified time, rate of feeding changes an increment, the outlet temperature of the dynamo-electric stream of monitoring granulation simultaneously and quality-adjusting device, until feeder rotating speed reaches setting value, granulator is also in full load condition.
Described knowledge base comprises image parameter knowledge base, material knowledge base, granular mass knowledge base, start-up course knowledge base, operational process knowledge base, warning knowledge base, control law knowledge base, feature identification knowledge base, information processing knowledge base, inference machine knowledge base and operating experience knowledge base.
Described image parameter knowledge base comprises feeding machine parameter, quality-adjusting device parameter and the ring die pelleter parameter of electric machine.
Described granular mass knowledge base comprises that steam adds parameter and material protein content parameter.
As optimization, in order to improve measuring accuracy, described temperature sensor surface is also connected with sensor timing cleaning plant.
As optimization, in order to improve the rapidity of measurement, what described current sensor adopted is high speed current metering sensor.
Beneficial effect: the invention has the advantages that the impact that is not subject to quality-adjusting device entrance material; can carry out rational quantity of steam adjusting and forage volume regulates simultaneously; in ensureing the quality of granulating, make again granulator motor in Operation at full power state; realize the best productivity effect of granulator, not only save the energy but also can effectively avoid granulator to block up machine phenomenon.
Brief description of the drawings
Fig. 1 is structured flowchart schematic diagram of the present invention.
Fig. 2 is knowledge base structure schematic diagram of the present invention.
Fig. 3 is start-up course rate of feeding control schematic diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described:
A kind of ring die pelleter intelligent control system based on expert system as shown in Figure 1; comprise ring die pelleter; be located at the temperature sensor of ring die pelleter quality-adjusting device outlet; be located at current sensor and expert control system on ring die pelletizing owner motor; expert control system is connected with ring die pelleter, and the input end of expert control system is connected with temperature sensor and current sensor respectively.
The intelligent control system that expert control system is made up of computing machine; expert control system control procedure is: by the Main motor current signal of the ring die pelleter collecting and quality-adjusting device outlet temperature signal; pass through successively feature identification information processing, inference machine and control rule base; wherein inference machine and control rule base are to set up based on knowledge base; finally export control signal to ring die pelleter, thereby adjust corresponding rate of feeding and quantity of steam.
As shown in Figure 2, knowledge base comprises image parameter knowledge base, material knowledge base, granular mass knowledge base, start-up course knowledge base, operational process knowledge base, warning knowledge base, control law knowledge base, feature identification knowledge base, information processing knowledge base, inference machine knowledge base and operating experience knowledge base; Wherein image parameter knowledge base comprises feeding machine parameter (the speed recruitment [%] of feeding increment [%], feeder), quality-adjusting device parameter (modified time [S]) and the ring die pelleter parameter of electric machine (current rating [A], no-load current value [A], start-up time [S]), and granular mass knowledge base comprises that steam adds parameter (steam conventional increment [%], steam control cycle [S]) and material protein content parameter.
Single factors such as the quality of particle and refining temperature, tempering water, rate of feeding, material protein content are closely related.Therefore, in the time changing rate of feeding, according to data such as material protein contents in knowledge base, find corresponding moisture value and quantity of steam, correspondingly control the interpolation value of moisture and quantity of steam according to the mode of ratio control, thereby the outlet temperature that realizes quality-adjusting device does not produce large deviation in the time that rate of feeding changes, to protect the quality of positive particle.
Ring die pelleter control procedure of the present invention comprises start-up course control and normal course of operation control.First granulator electric motor starting, in the time that finish start-up time, granulator current of electric must drop to below no-load current, and motor speed reaches required value; After time delay a period of time, quality-adjusting device starts, if now feed bin has material, Qie Hou road transport tape runs well, and can connect feeder, and the start-up course key of whole ring die pelletizing system is the control to rate of feeding, can carry out according to the mode of Fig. 3:
First paragraph t0.0-t0.3: the rotating speed of feeder rises to n0.3 with slope in time t0 .3, steam control loop is started working; Once feeder reaches minimum speed, steam adding set is connected, and after time delay a period of time, liquid control starts to connect; Now, by ratio control mode, taking feeding capacity as master variable, the addition of corresponding adjustment steam, moisture is monitored the outlet temperature of quality-adjusting device simultaneously;
Second segment starts from t0.3: reach desired speed value n0.3 at feeder, proceed in the mode of increment and progressively approach rated speed; In each control clock of determining based on the modified time, rate of feeding changes an increment, the outlet temperature of the dynamo-electric stream of monitoring granulation simultaneously and quality-adjusting device, until feeder rotating speed reaches setting value, granulator is also in full load condition.
Normal course of operation control: first will ensure the quality of particle, and on this basis, the motor that makes to granulate is in the state of operating at full capacity.
Can find out; adopt after expert control system; can carry out rational quantity of steam adjusting and forage volume regulates; in ensureing the needed reasonable temperature of granulation; allow granulation owner motor work in scope at full capacity (finding relatively best working point), so that granulator keeps higher work efficiency as far as possible.In working control, install the position of quality-adjusting device outlet temperature survey sensor (Pt100), with the rapidity of the current metering sensor of granulation owner motor, larger to controlling influential effect.In order to prevent that temperature sensor from being wrapped by material, and can not Measurement accuracy temperature, can timing cleaning mechanism be installed at sensor surface, effect is obvious, and the current measurement of granulation owner motor can adopt high speed current metering sensor.
By adopting expert control system to carry out control loop die pelleter, there is the dirigibility of dexterity and the control strategy of online processing, and realize the effective control to complex process by real-time reasoning and decision-making; Taking the outlet temperature of quality-adjusting device as controlled variable; realize temperature control by controlling steam amount of filling; realize the control of the quality to granulating; simultaneously taking the electric current of granulator main frame as controlled variable; by regulating feeding capacity to make granulator motor in Operation at full power state; thereby realize the best productivity effect of granulating, effectively avoid again granulator to block up machine phenomenon.
Claims (6)
1. the ring die pelleter intelligent control system based on expert system, comprise ring die pelleter, it is characterized in that: also comprise the temperature sensor that is located at the outlet of ring die pelleter quality-adjusting device, the expert control system that is located at the current sensor on ring die pelletizing owner motor and is connected with described ring die pelleter, the input end of described expert control system is connected with described temperature sensor and described current sensor respectively; The intelligent control system that described expert control system is made up of computing machine; the control procedure of described expert control system is: by the Main motor current signal of the ring die pelleter collecting and quality-adjusting device outlet temperature signal; pass through successively feature identification information processing, inference machine and control rule base; described inference machine and control rule base are to set up based on knowledge base; finally export control signal to ring die pelleter; described ring die pelleter control procedure comprises start-up course control and normal course of operation control, and wherein start-up course control comprises the steps:
First paragraph t0.0-t0.3: the rotating speed of feeder rises to n0.3 with slope in time t0 .3, steam control loop is started working; Once feeder reaches minimum speed, steam adding set is connected, and after time delay a period of time, liquid control starts to connect; Now, by ratio control mode, taking feeding capacity as master variable, the addition of corresponding adjustment steam, moisture is monitored the outlet temperature of quality-adjusting device simultaneously;
Second segment starts from t0.3: reach desired speed value n0.3 at feeder, proceed in the mode of increment and progressively approach rated speed; In each control clock of determining based on the modified time, rate of feeding changes an increment, the outlet temperature of the dynamo-electric stream of monitoring granulation simultaneously and quality-adjusting device, until feeder rotating speed reaches setting value, granulator is also in full load condition.
2. a kind of ring die pelleter intelligent control system based on expert system according to claim 1, is characterized in that: described temperature sensor surface is also connected with sensor timing cleaning plant.
3. a kind of ring die pelleter intelligent control system based on expert system according to claim 1, is characterized in that: what described current sensor adopted is high speed current metering sensor.
4. a kind of ring die pelleter intelligent control system based on expert system according to claim 1, is characterized in that: described knowledge base comprises image parameter knowledge base, material knowledge base, granular mass knowledge base, start-up course knowledge base, operational process knowledge base, warning knowledge base, control law knowledge base, feature identification knowledge base, information processing knowledge base, inference machine knowledge base and operating experience knowledge base.
5. a kind of ring die pelleter intelligent control system based on expert system according to claim 4, is characterized in that: described image parameter knowledge base comprises feeding machine parameter, quality-adjusting device parameter and the ring die pelleter parameter of electric machine.
6. a kind of ring die pelleter intelligent control system based on expert system according to claim 4, is characterized in that: described granular mass knowledge base comprises that steam adds parameter and material protein content parameter.
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Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104000297B (en) * | 2014-06-19 | 2017-01-25 | 武汉新科谷技术发展有限公司 | Pelletizing control system |
| CN112742301B (en) * | 2021-01-07 | 2021-08-10 | 浙江迦南科技股份有限公司 | Dry method granulator control system |
| CN112844194B (en) * | 2021-01-22 | 2022-09-09 | 济宁瑞丰饲料有限公司 | Preparation method of livestock feed |
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| CN101109950A (en) * | 2007-07-23 | 2008-01-23 | 鞍钢股份有限公司 | Blast furnace production process control information intelligence system |
| CN101533261A (en) * | 2007-09-28 | 2009-09-16 | 费舍-柔斯芒特系统股份有限公司 | Method and apparatus for intelligent control and monitoring in a process control system |
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| JP2004206570A (en) * | 2002-12-26 | 2004-07-22 | Toppan Forms Co Ltd | Production control system |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101109950A (en) * | 2007-07-23 | 2008-01-23 | 鞍钢股份有限公司 | Blast furnace production process control information intelligence system |
| CN101533261A (en) * | 2007-09-28 | 2009-09-16 | 费舍-柔斯芒特系统股份有限公司 | Method and apparatus for intelligent control and monitoring in a process control system |
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| JP特开2004-206570A 2004.07.22 |
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Application publication date: 20120912 Assignee: Wuhan Vital Pharmaceutical Co., Ltd. Assignor: Nantong University Contract record no.: 2015420000144 Denomination of invention: Intelligent control system of annular mould granulator based on expert system Granted publication date: 20141008 License type: Exclusive License Record date: 20150723 |
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Effective date of registration: 20210628 Address after: 226019 No.205, building 6, Nantong University, No.9, Siyuan Road, Nantong City, Jiangsu Province Patentee after: Center for technology transfer, Nantong University Address before: 226019 Jiangsu Province, Nantong City Chongchuan District sik Road No. 9 Patentee before: NANTONG University |