CN107526291A - A kind of Low-pressure Die Casting Filling based on fuzzy - Google Patents

A kind of Low-pressure Die Casting Filling based on fuzzy Download PDF

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Publication number
CN107526291A
CN107526291A CN201610449454.6A CN201610449454A CN107526291A CN 107526291 A CN107526291 A CN 107526291A CN 201610449454 A CN201610449454 A CN 201610449454A CN 107526291 A CN107526291 A CN 107526291A
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China
Prior art keywords
fuzzy
low
control system
control
die casting
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CN201610449454.6A
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Chinese (zh)
Inventor
李征
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Individual
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Individual
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Priority to CN201610449454.6A priority Critical patent/CN107526291A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B22CASTING; POWDER METALLURGY
    • B22DCASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
    • B22D18/00Pressure casting; Vacuum casting
    • B22D18/04Low pressure casting, i.e. making use of pressures up to a few bars to fill the mould
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B22CASTING; POWDER METALLURGY
    • B22DCASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
    • B22D18/00Pressure casting; Vacuum casting
    • B22D18/08Controlling, supervising, e.g. for safety reasons
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00Automatic controllers
    • G05B11/01Automatic controllers electric
    • G05B11/36Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
    • G05B11/42Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/0275Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using fuzzy logic only
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Automation & Control Theory (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Mathematical Physics (AREA)
  • Fuzzy Systems (AREA)
  • Feedback Control In General (AREA)

Abstract

A kind of Low-pressure Die Casting Filling based on fuzzy, it is mainly that 5M431/SM432 etc. is formed by the PLC of Siemens 57 400 and simulation input/output module.Artificial intelligence is combined with PID control, according to the continuous on-line amending of the working condition of low pressure castingK pK iWithK dParameter, the dynamic property and control accuracy of low-pressure casting liquid level pressurization are substantially increased, preferable effect has been obtained in actually debugging.The control system overcomes some shortcomings of regulatory PID control, and existing fuzzy control need not establish mathematical models, and strong robustness, the characteristics of overshoot is small, has the advantages of PID control dynamic tracking quality better, stable state accuracy is high again.

Description

A kind of Low-pressure Die Casting Filling based on fuzzy
Art
The present invention relates to a kind of Low-pressure Die Casting Filling based on fuzzy, suitable for mechanical field.
Background technology
Low pressure casting is the Special Processes of Metal Castings moulding process for being now widely used for the fields such as casting, metallurgy, and its main processes (rise liquid, fill type, supercharging and pressurize etc.) is all that the control of pressure is realized by liquid level pressurizing control system.Therefore, liquid level pressurizing control system is the key components of low-pressure die casting plant, is low pressure casting yield rate and the basic assurance of Low Die Casting.
Existing liquid level pressurizing control system is controlled using PID (ratio, differential, integration) more, and the quality of PID control system performance depends on pid parameterK pK iWithK d, the degree of accuracy, obtain accurateK pK iWithK dParameter request establishes accurate mathematical modeling, and low pressure casting compression system is a large time delay, nonlinear time-varying system, it is difficult to establishes accurate mathematical modeling.Also, the presence of the disturbing factors such as due in low pressure casting production process, liquid level declines, temperature fluctuation and supply gas pressure change, even if obtaining accurateK pK iWithK dParameter, fixedK pK iWithK dParameter can not be optimal whole control process.So Traditional PID liquid level pressurizing control system has the shortcomings of pressuring curve that pressure oscillation is big, actual can not track given pressuring curve very well in actual production, cause casting quality poor and unstable.
The content of the invention
The present invention proposes a kind of Low-pressure Die Casting Filling based on fuzzy, and artificial intelligence is combined with PID control, according to the continuous on-line amending of the working condition of low pressure castingK pK iWithK dParameter, the dynamic property and control accuracy of low-pressure casting liquid level pressurization are substantially increased, preferable effect has been obtained in actually debugging.
The technical solution adopted in the present invention is:
The liquid level pressurizing control system is mainly that 5M431/SM432 etc. is formed by Siemens 57-400 PLC and simulation input/output module.
The control system uses high performance Siemens CPU 414-2 processors, and performing a binary command only needs 0.75μS, S7-400PLC also have complete powerful instruction set, can be achieved complicated logic and arithmetical operation, thus system energy according toeWithec, real-time query △K P, △K iAnd △K aInquiry table, and carry out the computings such as anti fuzzy method, ensure that the real-time of Liquid Level Pressure control.
The whole Software for Design of the control system uses modular design method, realizes the major function block of fuzzy pressurizing control system and has:Tissue block OB1, periodic interruptions tissue block OB30, Fuzzy processing functional block FC60, fuzzy control table query function block FC61, anti fuzzy method function blocks FC62, PID arithmetic functional block FC64 etc. for cyclic program processing.
The beneficial effects of the invention are as follows:The control system overcomes some shortcomings of regulatory PID control, and existing fuzzy control need not establish mathematical models, and strong robustness, the characteristics of overshoot is small, has the advantages of PID control dynamic tracking quality better, stable state accuracy is high again.
Brief description of the drawings
Fig. 1 is the fuzzy-adaptation PID control program flow diagram of the present invention.
Fig. 2 is the liquid level pressurizing control system hardware block diagram of the present invention.
Embodiment
The invention will be further described with reference to the accompanying drawings and examples.
Such as Fig. 1, liquid level pressurizing control system is mainly by Siemens 57-400 PLC and simulation input/output module are the composition such as 5M431/SM432.
Control system uses high performance Siemens CPU 414-2 processors, and performing a binary command only needs 0.75μS, S7-400PLC also have complete powerful instruction set, can be achieved complicated logic and arithmetical operation, thus system energy according toeWithec, real-time query △K P, △K iAnd △K aInquiry table, and carry out the computings such as anti fuzzy method, ensure that the real-time of Liquid Level Pressure control.
The whole Software for Design of control system uses modular design method, realizes the major function block of fuzzy pressurizing control system and has:Tissue block OB1, periodic interruptions tissue block OB30, Fuzzy processing functional block FC60, fuzzy control table query function block FC61, anti fuzzy method function blocks FC62, PID arithmetic functional block FC64 etc. for cyclic program processing.
Such as Fig. 2, the fuzzy controller meets different pressure divergences, and pressure divergence rate of changeecRequirement to PID Self-tuning Systems, it carries out fuzzy reasoning according to fuzzy control rule, pid parameter is modified online.
According to fuzzy control rule, go out the output of fuzzy controller, that is, pid parameter using the composition rule off-line calculation of fuzzy reasoningK P,K iWithK aCorrecting value △K P, △K iAnd △K a.Then correcting value is stored in calculator memory, obtains △K P, △K iAnd △K aInquiry table.In real time during control, basis first.WithecQuantized value correcting value △ is directly found from the inquiry table obtained offlineK P, △K iAnd △K aQuantized value, then handled by ambiguity solution, obtain △K P, △K iAnd △K aExact value, finally the base value of they and pid parameter.

Claims (3)

1. a kind of Low-pressure Die Casting Filling based on fuzzy, it is characterized in that:The liquid level pressurizing control system is mainly by Siemens 57-400 PLC and simulation input/output module are the composition such as 5M431/SM432.
2. a kind of Low-pressure Die Casting Filling based on fuzzy according to claim 1, it is characterized in that:The control system uses high performance Siemens CPU 414-2 processors, and performing a binary command only needs 0.75μS, S7-400PLC also have complete powerful instruction set, can be achieved complicated logic and arithmetical operation, thus system energy according toeWithec, real-time query △K P, △K iAnd △K aInquiry table, and carry out the computings such as anti fuzzy method, ensure that the real-time of Liquid Level Pressure control.
3. a kind of Low-pressure Die Casting Filling based on fuzzy according to claim 1, it is characterized in that:The whole Software for Design of the control system uses modular design method, realizing the major function block of fuzzy pressurizing control system has the tissue block OB1 for cyclic program processing, periodic interruptions tissue block OB30, Fuzzy processing functional block FC60, fuzzy control table query function block FC61, anti fuzzy method function blocks FC62, PID arithmetic functional block FC64 etc..
CN201610449454.6A 2016-06-21 2016-06-21 A kind of Low-pressure Die Casting Filling based on fuzzy Pending CN107526291A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610449454.6A CN107526291A (en) 2016-06-21 2016-06-21 A kind of Low-pressure Die Casting Filling based on fuzzy

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610449454.6A CN107526291A (en) 2016-06-21 2016-06-21 A kind of Low-pressure Die Casting Filling based on fuzzy

Publications (1)

Publication Number Publication Date
CN107526291A true CN107526291A (en) 2017-12-29

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CN201610449454.6A Pending CN107526291A (en) 2016-06-21 2016-06-21 A kind of Low-pressure Die Casting Filling based on fuzzy

Country Status (1)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109581863A (en) * 2019-01-02 2019-04-05 青岛理工大学 A kind of intelligence complex fertilizer control system liquid manure consistency controller
CN113862728A (en) * 2021-09-30 2021-12-31 佛山仙湖实验室 Pressure control method, system, equipment and medium for PEM pure water electrolysis hydrogen production

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109581863A (en) * 2019-01-02 2019-04-05 青岛理工大学 A kind of intelligence complex fertilizer control system liquid manure consistency controller
WO2020140188A1 (en) * 2019-01-02 2020-07-09 青岛理工大学 Intelligent mixed fertilizer control method and control system
CN113862728A (en) * 2021-09-30 2021-12-31 佛山仙湖实验室 Pressure control method, system, equipment and medium for PEM pure water electrolysis hydrogen production
CN113862728B (en) * 2021-09-30 2024-01-09 佛山仙湖实验室 Pressure control method, system, equipment and medium for PEM pure water electrolysis hydrogen production

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Application publication date: 20171229