CN104991589A - Self-learning temperature precise control method - Google Patents
Self-learning temperature precise control method Download PDFInfo
- Publication number
- CN104991589A CN104991589A CN201510255562.5A CN201510255562A CN104991589A CN 104991589 A CN104991589 A CN 104991589A CN 201510255562 A CN201510255562 A CN 201510255562A CN 104991589 A CN104991589 A CN 104991589A
- Authority
- CN
- China
- Prior art keywords
- temperature
- control
- module
- gain
- self
- 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.)
- Granted
Links
Landscapes
- Feedback Control In General (AREA)
- Control Of Temperature (AREA)
Abstract
A self-learning temperature precise control method is provided. Aiming at the fact that a temperature control system has the characteristics of non-linearity, hysteresis and time variation, the temperature control system is adopted by the invention to automatically adjust and determine the proportion gain P, the integration gain I, the differential gain D and the output power OPH of each temperature control point automatically according to a temperature control error e and a temperature change rate ec, so that the precise control with +/- 0.005 DEG C deviation is realized for each temperature control point. According to the invention, the automatic learning balance of the PID control parameters and the output power OPH are ingeniously utilized to realize the precise control of temperature. The invention is the innovated exploration and try of the temperature precise control method, the high-speed processing capability of an embedded ARM processor and intelligent control parameter learning are used to replace a normal PID control adjusting technology, so that the temperature control precision is improved, and the self-learning temperature precise control method is simple, reliable and effective.
Description
Technical field
The invention belongs to autocontrol method category, especially in Precision measurement to effective accurate control technique of temperature.
Background technology
Traditional PID control principle is simple, easy to use, strong adaptability, can be widely used in various industrial process, but, traditional PID control also has shortcoming, need certain process as: parameter regulates, choosing of optimized parameter is more difficult, for time become, nonlinear controlled system, its accurate mathematical model is difficult to set up, and uses traditional PID to control to obtain desirable control effects.In Precision measurement process, temperature is one of important controling parameters, to effective control of temperature for ensureing that Detection job is of great immediate significance and theory value.
The present invention utilizes the self-poise of pid control parameter and power stage OPH to learn, and realizes the precise hard_drawn tuhes of temperature, is Innovation Exploring and the trial of temperature precision control method, by the practical precise hard_drawn tuhes realizing each temperature controlling point ± 0.005 DEG C deviation.
Summary of the invention
The object of the invention is to the Innovation Exploring to a kind of temperature precision control method of self learning type and trial, utilize pid control parameter (proportional gain P, storage gain I, differential gain D) to learn with the self-poise of power stage OPH, realize the precise hard_drawn tuhes of controlled device temperature.
The present invention is realized by following technical proposal.
A temperature precision control method for self learning type, feature of the present invention is, the method is: sequentially connected to form by precise temperature measurement device, temperature accurate control device, solid-state relay heating control apparatus; Wherein:
1) precise temperature measurement device detects controlled device temperature by secondary standard platinum-resistance thermometer, secondary standard platinum-resistance thermometer corresponding temperature change output resistance variable signal, adopts 71/2 high-precision number of degrees table to carry out measuring and exports digital quantity signal by RS232 serial ports;
2), temperature accurate control device is sequentially connected to form by temperature conversion module, pid control module, power output module; Be provided with self learning type adjustment module to be connected with pid control module, power output module respectively; Wherein temperature conversion module gathers resistance variations digital quantity signal, and be linearly calculated as temperature value by interior phasing meter of looking into, this temperature value is accurate to 0.001 DEG C; Pid control module is pressed one order inertia delay component transport function according to the temperature control error e of design temperature T and actual temperature t and is calculated and control to export; Self learning type adjustment module automatically automatically regulates according to temperature control error e and rate of temperature change ec and determines the proportional gain P of each temperature controlling point, storage gain I, differential gain D and power stage OPH; Power output module receives pid control module control output signal and self learning type adjustment module power limit signal carries out power control driving;
Temperature accurate control device utilizes the high speed processing ability of embedded ARM processor and Based Intelligent Control parameter learning to replace regulatory PID control regulation technology to improve temperature control precision;
3), solid-state relay heating control apparatus accepts power output signal, and the break-make controlling heating component 220VAC power supply realizes the precise hard_drawn tuhes of controlled device temperature.
The invention has the beneficial effects as follows, the temperature precision control method learnt by pid control parameter and power stage OPH self-poise is automatically automatically regulated according to temperature control error e and rate of temperature change ec and determines the proportional gain P of each temperature controlling point, storage gain I, differential gain D and power stage OPH parameter, can form full temperature control section controling parameters tables of data, temperature accurate control device is according to desired temperature Automatic inquirying tables of data and call pid parameter and power stage parameter.Solve traditional PID control optimal parameters selection more difficult; For time become, nonlinear controlled system, its accurate mathematical model is difficult to the crucial problem such as foundation.Achieve the precise hard_drawn tuhes of complete each temperature controlling point ± 0.005 of temperature control section DEG C deviation in Precision measurement.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention;
Fig. 2 is the temperature precision control method schematic diagram of self learning type of the present invention;
Fig. 3 is steering logic figure of the present invention.
Embodiment
See Fig. 1, a kind of temperature precision control method of self learning type, feature of the present invention is, the method is: sequentially connected to form by precise temperature measurement device, temperature accurate control device, solid-state relay heating control apparatus; Wherein:
1) precise temperature measurement device detects controlled device temperature by secondary standard platinum-resistance thermometer 11, secondary standard platinum-resistance thermometer 11 corresponding temperature change output resistance variable signal, adopts 71/2 high-precision number of degrees table 12 to carry out measuring and exports digital quantity signal by RS232 serial ports;
2), temperature accurate control device is sequentially connected to form by temperature conversion module, pid control module, power output module; Be provided with self learning type adjustment module to be connected with pid control module, power output module respectively; Wherein temperature conversion module 13 gathers resistance variations digital quantity signal, and be linearly calculated as temperature value by interior phasing meter of looking into, this temperature value is accurate to 0.001 DEG C; Pid control module 14 is pressed one order inertia delay component transport function according to the temperature control error e of design temperature T and actual temperature t and is calculated and control to export; Self learning type adjustment module 15 automatically automatically regulates according to temperature control error e and rate of temperature change ec and determines the proportional gain P of each temperature controlling point, storage gain I, differential gain D and power stage OPH; Power output module 16 receives pid control module 14 control output signal and self learning type adjustment module 15 power limit signal carries out power control driving;
Temperature accurate control device utilizes the high speed processing ability of embedded ARM processor and Based Intelligent Control parameter learning to replace regulatory PID control regulation technology to improve temperature control precision;
3), solid-state relay heating control apparatus accepts power output signal, and the break-make controlling heating component 220VAC power supply realizes the precise hard_drawn tuhes of controlled device temperature.
Temperature accurate control device is the core of the temperature precision control method of a kind of self learning type of the present invention, and it automatically automatically regulates according to temperature control error e and rate of temperature change ec and determines that the proportional gain P of each temperature controlling point, storage gain I, differential gain D and power stage OPH principle are as follows:
1. the temperature precision control method principle (see Fig. 2) of self learning type
Using the temperature control error e of actual temperature and design temperature and rate of temperature change ec as input, according to different temperature controlled zone, formulate different steering logic strategies and automatically can regulate and determine the requirement that the proportional gain P of each temperature controlling point, storage gain I, differential gain D and power stage OPH meet not controlled device temperature precise hard_drawn tuhes in the same time and adjust to pid parameter and power stage.Just the temperature accurate control device that can realize self learning type is constituted.
2. steering logic strategy (see Fig. 3)
2.1 press formulae discovery temperature control error e (temperature control error e=design temperature T-actual temperature t), and temperature controlled zone is divided into Ith district (temperature control error e >=1 DEG C), IIth district (1 DEG C of > temperature control error e >=0.2 DEG C), IIIth district (0.2 DEG C of > temperature control error e >=0 DEG C), IVth district (temperature control error e <0 DEG C).
2.2 I district's steering logics
2.2.1 for accelerating the response speed of control device, power stage principle selects full power (OPH=100), selects larger proportional gain P by fuzzy control rule, and less differential gain D.Meanwhile, in order to prevent saturation integral phenomenon, avoid control device to respond and occur larger overshoot, getting storage gain I is 0.
2.2.2 I district's self study principle
Setting Current Temperatures setting value=T-1 DEG C, trigger when controlled device temperature reaches desired temperature and calculate rate of temperature change ec per minute (getting maximum temperature per minute and minimum temperature difference), if when rate of temperature change ec per minute is excessive, automatic increase proportional gain P, reduces differential gain D.Adjusted by repeated multiple times study, control device can obtain optimum pid parameter, by this group controling parameters { SV=T; P=KP1; I=0; D=KD1; OPH=100; QY=1} writes tables of data, as this temperature controlling point I district controling parameters.
2.3 II district's steering logics
2.3.1 the overshoot for making control device respond reduces, power stage should reduce (power stage OPH=INT (eX100) by temperature control error e equal proportion, INT is bracket function), the P of proportional gain simultaneously, storage gain I, differential gain D can not get greatly, comparatively small scale gain P should be got, the value size of storage gain I, differential gain D is moderate, to ensure the response speed of control device.
2.3.2 II district's self study principle
Setting Current Temperatures setting value=T-0.2 DEG C, trigger when controlled device temperature reaches desired temperature and calculate rate of temperature change ec per minute (getting maximum temperature per minute and minimum temperature difference), if when rate of temperature change ec per minute is excessive, on I pid control parameter basis, district, the preferential storage gain of increase automatically I, then reduces proportional gain P and differential gain D.Adjusted by repeated multiple times study, control device can obtain optimum pid parameter, by this group controling parameters { SV=T; P=KP2; I=KI2; D=KD2; OPH=100; QY=2} writes tables of data, as this temperature controlling point II district controling parameters.
2.4 III district's steering logics
2.4.1 this region adopts constant power to control (OPH=10), in order to make control device obtain good steady-state behaviour, answers scaling up gain P and storage gain I, occurs vibration for avoiding simultaneously.Suitably should choose differential gain D.Specific Principles is: when rate of temperature change ec per minute is larger, differential gain D should select less.2.4.2 III district's self study principle
Trigger when controlled device temperature reaches desired temperature and calculate rate of temperature change ec per minute (getting maximum temperature per minute and minimum temperature difference), if when rate of temperature change ec per minute is excessive, on II pid control parameter basis, district, the preferential proportional gain P and storage gain I of increase automatically, then reduces differential gain D.Adjusted by repeated multiple times study, control device can obtain optimum pid parameter, by this group controling parameters { SV=T; P=KP3; I=KI3; D=KD3; OPH=10; QY=3} writes tables of data, as this temperature controlling point III district controling parameters.
2.5 IV district's steering logics
This region representation controlled device temperature exceedes desired temperature, and ((OPH=0), pid control parameter uses III district's data directly closedown power can be controlled output.By this group controling parameters { SV=T; P=KP3; I=KI3; D=KD3; OPH=0; QY=4} writes tables of data, as this temperature controlling point IV district controling parameters.
Temperature accurate control device automatically automatically regulates according to temperature control error e and rate of temperature change ec and determines the proportional gain P of each temperature controlling point optimum, storage gain I, differential gain D and power stage OPH.By the intelligent learning to every 10 DEG C of interval temperature set-point pid parameters and power stage parameter, can form full temperature control section controling parameters tables of data, temperature accurate control device is according to desired temperature Automatic inquirying tables of data and call pid parameter and power stage parameter.Solve traditional PID control optimal parameters selection more difficult; For time become, nonlinear controlled system, its accurate mathematical model is difficult to the crucial problem such as foundation.Achieve the precise hard_drawn tuhes of complete each temperature controlling point ± 0.005 of temperature control section DEG C deviation.
Claims (1)
1. a temperature precision control method for self learning type, is characterized in that, the method is: sequentially connected to form by precise temperature measurement device, temperature accurate control device, solid-state relay heating control apparatus; Wherein:
1) precise temperature measurement device detects controlled device temperature by secondary standard platinum-resistance thermometer (11), secondary standard platinum-resistance thermometer (11) corresponding temperature change output resistance variable signal, adopts 71/2 high-precision number of degrees table (12) to carry out measuring and exports digital quantity signal by RS232 serial ports;
2), temperature accurate control device is sequentially connected to form by temperature conversion module, pid control module, power output module; Be provided with self learning type adjustment module to be connected with pid control module, power output module respectively; Wherein temperature conversion module (13) gathers resistance variations digital quantity signal, and be linearly calculated as temperature value by interior phasing meter of looking into, this temperature value is accurate to 0.001 DEG C; Pid control module (14) is pressed one order inertia delay component transport function according to the temperature control error e of design temperature T and actual temperature t and is calculated and control to export; Self learning type adjustment module (15) automatically automatically regulates according to temperature control error e and rate of temperature change ec and determines the proportional gain P of each temperature controlling point, storage gain I, differential gain D and power stage OPH; Power output module (16) receives pid control module (14) control output signal and self learning type adjustment module (15) power limit signal carries out power control driving;
Temperature accurate control device utilizes the high speed processing ability of embedded ARM processor and Based Intelligent Control parameter learning to replace regulatory PID control regulation technology to improve temperature control precision;
3), solid-state relay heating control apparatus accepts power output signal, and the break-make controlling heating component 220VAC power supply realizes the precise hard_drawn tuhes of controlled device temperature.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510255562.5A CN104991589B (en) | 2015-05-19 | 2015-05-19 | A kind of temperature precision control method of self learning type |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510255562.5A CN104991589B (en) | 2015-05-19 | 2015-05-19 | A kind of temperature precision control method of self learning type |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104991589A true CN104991589A (en) | 2015-10-21 |
| CN104991589B CN104991589B (en) | 2017-03-01 |
Family
ID=54303407
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510255562.5A Active CN104991589B (en) | 2015-05-19 | 2015-05-19 | A kind of temperature precision control method of self learning type |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104991589B (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106094936A (en) * | 2016-06-15 | 2016-11-09 | 华北电力大学 | The random adjustable quick heating control algorithms of heating rate towards gauze reactor |
| CN106094931A (en) * | 2016-06-15 | 2016-11-09 | 华北电力大学 | A kind of fast temperature control system towards gauze reactor |
| CN107894716A (en) * | 2017-11-28 | 2018-04-10 | 昆山艾派科技有限公司 | Temprature control method |
| CN108019982A (en) * | 2017-11-28 | 2018-05-11 | 四川航天系统工程研究所 | A kind of semiconductor thermoelectric refrigeration device drive control method |
| CN108062129A (en) * | 2017-12-25 | 2018-05-22 | 哈尔滨工业大学 | A kind of temperature control method and its system of gauze reactor |
| CN108089616A (en) * | 2017-12-25 | 2018-05-29 | 哈尔滨工业大学 | A kind of humidity control system of gauze reactor |
| CN109445490A (en) * | 2018-12-12 | 2019-03-08 | 上海航天控制技术研究所 | A kind of temperature control circuit of highly reliable high safety |
| CN110015696A (en) * | 2019-04-29 | 2019-07-16 | 电子科技大学 | Control the method for reaction temperature change rate and the application in synthesizing magnetic nanoparticle |
| CN111403854A (en) * | 2020-03-24 | 2020-07-10 | 北京双登慧峰聚能科技有限公司 | Temperature control system and control method for communication base station battery cabinet |
| CN114047275A (en) * | 2022-01-17 | 2022-02-15 | 华谱科仪(北京)科技有限公司 | Temperature control method and device for chromatograph |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101866190A (en) * | 2010-07-02 | 2010-10-20 | 西安电炉研究所有限公司 | Temperature cascade PID (Proportion Integration Differentiation) control system of high-temperature high-pressure testing device and control method thereof |
| CN201680927U (en) * | 2010-02-04 | 2010-12-22 | 北京印刷学院 | High-precision temperature checking instrument based on ARM |
| CN102636040A (en) * | 2011-02-14 | 2012-08-15 | 宝山钢铁股份有限公司 | Self-study furnace temperature control method and control system |
| CN102768549A (en) * | 2012-08-07 | 2012-11-07 | 湖南阳东微波科技有限公司 | Temperature control method and system of microwave oven, and microwave oven |
| JP2013205887A (en) * | 2012-03-27 | 2013-10-07 | Ube Ind Ltd | Pid control device and control method |
-
2015
- 2015-05-19 CN CN201510255562.5A patent/CN104991589B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201680927U (en) * | 2010-02-04 | 2010-12-22 | 北京印刷学院 | High-precision temperature checking instrument based on ARM |
| CN101866190A (en) * | 2010-07-02 | 2010-10-20 | 西安电炉研究所有限公司 | Temperature cascade PID (Proportion Integration Differentiation) control system of high-temperature high-pressure testing device and control method thereof |
| CN102636040A (en) * | 2011-02-14 | 2012-08-15 | 宝山钢铁股份有限公司 | Self-study furnace temperature control method and control system |
| JP2013205887A (en) * | 2012-03-27 | 2013-10-07 | Ube Ind Ltd | Pid control device and control method |
| CN102768549A (en) * | 2012-08-07 | 2012-11-07 | 湖南阳东微波科技有限公司 | Temperature control method and system of microwave oven, and microwave oven |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106094936A (en) * | 2016-06-15 | 2016-11-09 | 华北电力大学 | The random adjustable quick heating control algorithms of heating rate towards gauze reactor |
| CN106094931A (en) * | 2016-06-15 | 2016-11-09 | 华北电力大学 | A kind of fast temperature control system towards gauze reactor |
| CN106094936B (en) * | 2016-06-15 | 2017-11-28 | 华北电力大学 | Towards the random adjustable quick heating control algorithms of heating rate of gauze reactor |
| CN108019982B (en) * | 2017-11-28 | 2020-05-26 | 四川航天系统工程研究所 | Semiconductor thermoelectric refrigerator drive control method |
| CN108019982A (en) * | 2017-11-28 | 2018-05-11 | 四川航天系统工程研究所 | A kind of semiconductor thermoelectric refrigeration device drive control method |
| CN107894716A (en) * | 2017-11-28 | 2018-04-10 | 昆山艾派科技有限公司 | Temprature control method |
| CN108062129A (en) * | 2017-12-25 | 2018-05-22 | 哈尔滨工业大学 | A kind of temperature control method and its system of gauze reactor |
| CN108089616A (en) * | 2017-12-25 | 2018-05-29 | 哈尔滨工业大学 | A kind of humidity control system of gauze reactor |
| CN108062129B (en) * | 2017-12-25 | 2020-06-16 | 哈尔滨工业大学 | Temperature adjusting method and system of wire-grid reactor |
| CN109445490A (en) * | 2018-12-12 | 2019-03-08 | 上海航天控制技术研究所 | A kind of temperature control circuit of highly reliable high safety |
| CN110015696A (en) * | 2019-04-29 | 2019-07-16 | 电子科技大学 | Control the method for reaction temperature change rate and the application in synthesizing magnetic nanoparticle |
| CN110015696B (en) * | 2019-04-29 | 2021-12-03 | 电子科技大学 | Method for controlling reaction temperature change rate and application of method in synthesis of magnetic nanoparticles |
| CN111403854A (en) * | 2020-03-24 | 2020-07-10 | 北京双登慧峰聚能科技有限公司 | Temperature control system and control method for communication base station battery cabinet |
| CN114047275A (en) * | 2022-01-17 | 2022-02-15 | 华谱科仪(北京)科技有限公司 | Temperature control method and device for chromatograph |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104991589B (en) | 2017-03-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104991589A (en) | Self-learning temperature precise control method | |
| CN105929683B (en) | A kind of differential is adjustable PID controller parameter engineering turning model and method | |
| CN108508870B (en) | Method for evaluating performance and optimizing parameters of boiler drum water level control system | |
| CN101286045A (en) | Coal-burning boiler system mixing control method | |
| CN101859097B (en) | System control method based on maintenance type human-simulating PID | |
| CN104503502A (en) | Modified Smith prediction main stream temperature control structure | |
| CN104267603A (en) | Heat exchange station control method based on fuzzy Smith-PID | |
| CN202663351U (en) | Servo motor rotational speed control system based on fuzzy self-adaptive proportional-integral-derivative (PID) controllers | |
| CN115629537A (en) | Heating furnace combustion control method and system based on subgroup improved particle swarm optimization PID | |
| CN104949283A (en) | Air valve adjusting method and system for controlling air volume | |
| Meng et al. | Control strategy of cement mill based on bang-bang and fuzzy PID self-tuning | |
| CN205318259U (en) | Water temperature control system | |
| CN105320174A (en) | Vegetable waste fermentation temperature fuzzy control method | |
| Ding et al. | Self-adaptive fuzzy PID controller for water supply system | |
| CN107040228A (en) | A kind of failure circuit suitable for dead-band regulator | |
| CN206790449U (en) | A kind of failure circuit suitable for dead-band regulator | |
| Zenghuan et al. | Optimization of furnace combustion control system based on double cross-limiting strategy | |
| Bai et al. | Fuzzy Adaptive PID Control of Indoor Temperature in VAV System | |
| CN204203806U (en) | The cascade temperature control system of a kind of horse not heat-treatment furnace | |
| CN103216811B (en) | Control system for furnace pressure of large-scale boiler | |
| CN210864432U (en) | Cooling water control device for chemical industry production | |
| Jing et al. | Intelligent control system of stack-boiler | |
| Hou et al. | Induction heating furnace temperature control based on the fuzzy PID | |
| CN207619478U (en) | A kind of abrasion-proof steel ball quenching bath temperature regulating device | |
| CN203546027U (en) | Novel automatic control device for temperature of fermentation tank |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20191205 Address after: 650000 Yunnan city of Kunming province Wu Wells Road 98 Patentee after: KUNMING POWER SUPPLY BUREAU, YUNNAN POWER GRID CO., LTD. Address before: 650011 No. 63 East extension Road, Yunnan, Kunming Co-patentee before: YUNNAN YILIN INDUSTRY AND TRADE CO., LTD. Patentee before: KUNMING POWER SUPPLY BUREAU, YUNNAN POWER GRID CO., LTD. |