CN101592960A - Adaptive temperature controller - Google Patents
Adaptive temperature controller Download PDFInfo
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- CN101592960A CN101592960A CNA2008100383075A CN200810038307A CN101592960A CN 101592960 A CN101592960 A CN 101592960A CN A2008100383075 A CNA2008100383075 A CN A2008100383075A CN 200810038307 A CN200810038307 A CN 200810038307A CN 101592960 A CN101592960 A CN 101592960A
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Abstract
The present invention relates to be specially a kind of adaptive temperature controller to use direct thermometric instruments to heat sensitive electric or magnetic element.A kind of adaptive temperature controller, comprise data acquisition module (1), control output module (2), display circuit module (3), off-limit alarm module (4), keyboard load module (5) and comprise single-chip microcomputer (6), the signal output part of acquisition module (1), display circuit module (3), off-limit alarm module (4) and keyboard load module (5) all is connected with the signal input part of single-chip microcomputer (6), and the signal output part of single-chip microcomputer (6) is connected with the signal input part of control output module (2).The present invention makes process control be in the Optimal Control state all the time, has simplified the identification process of object, also is intensification simultaneously, and the manufacturing adaptive controller of miniaturization is laid a good foundation.
Description
Technical field
The present invention relates to be specially a kind of adaptive temperature controller to use direct thermometric instruments to heat sensitive electric or magnetic element.
Background technology
Can temperature control have become very important in commercial production, a scientific research activity link, successfully temperature is controlled at the success or failure that are related to whole activity in the required scope.Because the diversity and the complicacy of controlling object, cause the diversity of the temperature control means that adopts.Temperature control must be satisfied the requirement of real work, can be limited in certain scope, could guarantee the operate as normal of pertinent instruments.In humidity control system, its process control mode is exactly measured temperature to be transformed into unified standard signal by sensor send into regulator, in regulator, compares with set-point, then the difference that compares is carried out the PID computing.So-called PID computing is exactly ratio, integration, differentiates.The P adjusting is exactly the output of regulator and is entered as ratio.Transfer proportional band, just transfer scale-up factor, proportional band is exported the inverse with the ratio of importing (enlargement factor) exactly.I regulates and exports exactly is the integration of input quantity (being deviation), as long as deviation is arranged, regulator is integration constantly, and the signal that is transported to actuator is changed, and proofreaies and correct controlled volume, till reaching bias free, so there has been integral controller will eliminate steady-state deviation.What is called integral time of adjusting is exactly a speed of transferring integration, and this will depend on Properties of Objects.It is exactly that differential is regulated that D regulates, and just exports the differential to input.The advantage that differential is regulated is the advanced of it, when input changes, just has differential signal to produce at once, controlled volume is proofreaied and correct in advance, and then proofread and correct by P, I, shortened the settling time of whole adjusting, help the raising of quality of regulation.But that actual industrial process often has is non-linear, time variation and uncertainty, and a lot of industrial process is multivariable, is difficult to set up its precise math model.Even some objects can be set up mathematical model, its structure is also often very complicated.Be difficult to design and Implement effective control.Owing to this reason, the control effect of the process controller of industrial process control field application modern control theory design is produced effects very few, the classical PID controller still occupies critical role, and adaptive control algorithm really is not used for reality as yet, especially control this field in temperature, also do not have real practical application self-adapting algorithm and temperature controller.And common temperature controller, when the pure hysteresis of control was the object of time constant more than one times, effect was unsatisfactory.
Summary of the invention
In order to overcome the defective of prior art, a kind of temperature controller device of practicality of real application self-adapting algorithm is provided, the invention discloses a kind of adaptive temperature controller.
The present invention reaches goal of the invention by following technical solution:
A kind of adaptive temperature controller, comprise data acquisition module, control output module, display circuit module, off-limit alarm module and keyboard load module, its structure is: adaptive temperature controller also comprises single-chip microcomputer, the signal output part of acquisition module, display circuit module, off-limit alarm module and keyboard load module all is connected with the signal input part of single-chip microcomputer, and the signal output part of single-chip microcomputer is connected with the signal input part of control output module.
Described adaptive temperature controller is characterized in that: single-chip microcomputer is used to realize pre-tuning control algolithm and adaptive control algorithm, and adaptive control algorithm is as described below:
The parameter estimation amount of the object of the parameter estimation amount of new object=old+correction vector * (one-step prediction of new measured value-Xin measured value)
Described adaptive temperature controller, its structure is: adaptive temperature controller also comprises PLC, the signal output part of acquisition module, display circuit module, off-limit alarm module and keyboard load module all is connected with the signal input part of PLC, and the signal output part of PLC is connected with the signal input part of control output module.PLC is used to realize pre-tuning control algolithm and adaptive control algorithm, and the effect of pre-tuning control algolithm is the disposable pure hysteresis of knowing heating target of debating, and adaptive control algorithm is as described below:
The parameter estimation amount of the object of the parameter estimation amount of new object=old+correction vector * (one-step prediction of new measured value one new measured value)
The present invention adopts continuous identification objects mathematical model, and constantly the principle of Correction and Control parameter makes process control be in the Optimal Control state all the time.Consider under the actual conditions when mathematical model of controlled plant changes, change the little fact often pure retardation time, we have adopted pre-tuning (start-tuning) identification objects pure retardation time when the objective for implementation Mathematical Model Identification; Adopt the discretize object parameters, use the method for other parameters of way identification objects of least square method recursion, simplified the identification process of object greatly, also for being intensification, the manufacturing adaptive controller of miniaturization is laid a good foundation simultaneously.
Description of drawings
Fig. 1 adopts the structural representation of single-chip microcomputer for the present invention;
Structural representation when Fig. 2 works for the present invention;
Fig. 3 adopts the structural representation of PLC for the present invention.
Embodiment
Further specify the present invention by the following examples:
A kind of adaptive temperature controller, as shown in Figure 1, comprise data acquisition module 1, control output module 2, display circuit module 3, off-limit alarm module 4, keyboard load module 5 and single-chip microcomputer 6, the signal output part of acquisition module 1, display circuit module 3, off-limit alarm module 4 and keyboard load module 5 all is connected with the signal input part of single-chip microcomputer 6, and the signal output part of single-chip microcomputer 6 is connected with the signal input part of control output module 2.
During work as shown in Figure 2, the inductive probe of temperature sensor 8 places heating target 9, the signal output part of temperature sensor 8 is connected with the signal input part of the data acquisition module of adaptive temperature controller 1, and the heating arrangement of control output module 2 places heating target 9.
Single-chip microcomputer 6 is used to realize pre-tuning control algolithm and adaptive control algorithm, and adaptive control algorithm is as described below: the parameter estimation amount of the object of the parameter estimation amount of new object=old+correction vector * (one-step prediction of new measured value-Xin measured value)
Experimental results show that: when control in real time, no matter how mathematics model changes (as the mains voltage variations in the electrical heating control, load variations, radiating effect variation etc.); No matter how many initial controlled variable (P, I, D) of controller is, system can both be stable in pure retardation time (τ) at 3～5 times object, and system overshoot is very little.
A kind of adaptive temperature controller, as shown in Figure 3, comprise data acquisition module 1, control output module 2, display circuit module 3, off-limit alarm module 4, keyboard load module 5 and PLC7, the signal output part of acquisition module 1, display circuit module 3, off-limit alarm module 4 and keyboard load module 5 all is connected with the signal input part of PLC7, and the signal output part of PLC7 is connected with the signal input part of control output module 2.
PLC7 is used to realize pre-tuning control algolithm and adaptive control algorithm, and adaptive control algorithm is as described below: the parameter estimation amount of the object of the parameter estimation amount of new object=old+correction vector * (one-step prediction of new measured value-Xin measured value)
The contrast experiment 1
1. with the input and output line, power lead connects, and starting powers on; Design temperature is 60 degree, and through the pre-tuning link, drawing proportional band parameter P is 20.0 degree, and integral time, I was 300 seconds, and derivative time, D was 100 seconds; The controller adaptive control algorithm program of reruning just can reach steady state (SS) in about more than 10 minutes, no overshoot, proportional band P spends between 34.9 degree 21.3 and changes, measure temperature stabilization after, proportional band P also is stabilized in 25.2 degree.After stablizing half an hour then, design temperature is elevated to 100 degree, controller operation adaptive control algorithm program, just can reach steady state (SS) in about more than 20 minutes, no overshoot, proportional band P spends between 36.4 degree 9.1 and changes, after measuring temperature stabilization, proportional band P also is stabilized in 12.8 degree.Design temperature is elevated to 120 degree, controller operation adaptive control algorithm program just can reach steady state (SS) in about more than 15 minutes again, no overshoot, and proportional band P spends between 25.6 degree 15 and changes, and behind the measurement temperature stabilization, proportional band P also is stabilized in 15 degree.Measured value is shut after DHG-9240A type electrothermostat opened the door one minute after a period of stabilisation, operation adaptive control algorithm program, measured value just can reach steady state (SS) in about 30 minutes, non-overshoot, proportional band are spent between 30 degree 7.5 and are changed, and finally are stabilized in 17.4 degree.Measure temperature stabilization after a period of time, outage, fully natural cooling carry out step 2 again.
2. the step 1 that continues, the cold start-up that powers on, design temperature is 120 degree, controller operation adaptive control algorithm program just can reach steady state (SS) in about more than 40 minutes, overshoot 1.8 degree, proportional band P spends between 34.7 degree 17.4 and changes, and behind the measurement temperature stabilization, proportional band P also is stabilized in 20.5 degree.Measured value is shut after DHG-9240A type electrothermostat opened the door two minutes after a period of stabilisation, operation adaptive control algorithm program, measured value just can reach steady state (SS) in about 15 minutes, non-overshoot, proportional band are spent between 41 degree 19.8 and are changed, and finally are stabilized in 33.6 degree.After stablizing half an hour then, design temperature is reduced to 60 degree, controller operation adaptive control algorithm program, just reached steady state (SS) in about more than 90 minutes, it is minimum to 57.4 degree to measure temperature, proportional band P spends between 30.0 degree 16.8 and changes, and behind the measurement temperature stabilization, proportional band P also is stabilized in 27.4 degree.
The contrast experiment 2
With the input and output line, power lead connects, and starting powers on; Design temperature is 40 degree, and through the pre-tuning link, drawing proportional band parameter P is 10.0 degree, and integral time, I was 200 seconds, and derivative time, D was 100 seconds; The controller adaptive control algorithm program of reruning just can reach steady state (SS) in about more than 10 minutes, about 2.3 degree of overshoot.Proportional band is spent between 20.0 degree 16.6 and is changed, and behind the measurement temperature stabilization, proportional band P also is stabilized in 16.6 degree.Temperature after half an hour is filled it up with the water of water stove the inside, controller operation adaptive control algorithm program, reached steady state (SS) in about more than 20 minutes, it is minimum to 35 degree to measure temperature, and proportional band P spends between 19.7 degree 16.6 and changes, after measuring temperature stabilization, proportional band P also is stabilized in 19.7 degree.
The contrast experiment 3
With the input and output line, power lead connects, and starting powers on; Design temperature is 80 degree, and through the pre-tuning link, drawing proportional band parameter P is 48.0 degree, and integral time, I was 800 seconds, and derivative time, D was 200 seconds; The controller adaptive control algorithm program of reruning just can reach steady state (SS) in about more than 15 minutes, no overshoot, proportional band P spends between 61.7 degree 28.2 and changes, measure temperature stabilization after, proportional band P also is stabilized in 44.5 degree.Measured value is shut after GRX-9003 type hot air sterilizer opened the door 2 minutes after a period of stabilisation, operation adaptive control algorithm program, measured value just can reach steady state (SS) in about 40 minutes, overshoot 3 degree, proportional band are spent between 44.5 degree 23.6 and are changed, and finally are stabilized in 34.2 degree.After stablizing half an hour, design temperature is elevated to 100 degree, controller operation adaptive control algorithm program, can reach steady state (SS) in about more than 60 minutes, overshoot 2.6 degree, proportional band P are spent between 53.5 degree 33 and are changed, after measuring temperature stabilization, proportional band P also is stabilized in 53.4 degree.After stablizing half an hour, design temperature is reduced to 80 degree, controller operation adaptive control algorithm program, reached steady state (SS) in about more than 80 minutes, it is minimum to 74.7 degree to measure temperature, and proportional band P spends between 57 degree 51.1 and changes, after measuring temperature stabilization, proportional band P also is stabilized in 55.5 degree.
The contrast experiment 4
Copper coin is heated in embodiment 1 control:
With the input and output line, power lead connects, and starting powers on; Design temperature is 60 degree, and through the pre-tuning link, drawing proportional band parameter P is 50.0 degree, and integral time, I was 100 seconds, and derivative time, D was 25 seconds; The abundant natural cooling in outage back carries out following test again.
Intensification (normal temperature is raised to 60 ℃) needed 25 minutes can reach steady state (SS), about 13.4 ℃ of overshoot approximately.During steady state (SS), temperature fluctuates up and down approximately ± and 0.3 ℃, proportional band P is stabilized in 33.6 degree.
Intensification (60 ℃ → 80 ℃) needed 16 minutes can reach steady state (SS), about 12.8 ℃ of overshoot approximately.During steady state (SS), temperature fluctuates up and down approximately ± and 0.3 ℃, proportional band P is stabilized in 34.4 degree.
Cooling (80 ℃ → 60 ℃) needed 19 minutes can reach steady state (SS), about 3.8 ℃ of overshoot approximately.During steady state (SS), temperature fluctuates up and down approximately ± and 0.3 ℃, proportional band P is stabilized in 32.0 degree.
Through object tests such as the different temperature object of multiple power such as hot-water heater, constant temperature oven, heating copper coins, when its load and changes in environmental conditions were very big, the present invention can both change proportional band automatically, to obtain satisfied control effect.Proportional band can be hundreds of from changing to automatically less than 10.Change actually and how much decide on the situation of Be Controlled object.The present invention can adaptive scope be to make controller from whole adhesives, to all discharging, promptly exports whole power to all stopping output.
The technology of the present invention advanced person, simple in structure, to use reliably, the controlled device of adaptation wide almost adopted the temperature controlled occasion of our company all can use originally.This adaptive controller using method is very convenient, and control performance is good, ratio of performance to price height.
Claims (4)
1. adaptive temperature controller, comprise data acquisition module (1), control output module (2), display circuit module (3), off-limit alarm module (4) and keyboard load module (5), it is characterized in that: adaptive temperature controller also comprises single-chip microcomputer (6), the signal output part of acquisition module (1), display circuit module (3), off-limit alarm module (4) and keyboard load module (5) all is connected with the signal input part of single-chip microcomputer (6), and the signal output part of single-chip microcomputer (6) is connected with the signal input part of control output module (2).
2. adaptive temperature controller as claimed in claim 1 is characterized in that: single-chip microcomputer (6) is used to realize pre-tuning control algolithm and adaptive control algorithm, and adaptive control algorithm is as described below:
The parameter estimation amount of the object of the parameter estimation amount of new object=old+correction vector * (one-step prediction of new measured value-Xin measured value)
3. adaptive temperature controller as claimed in claim 1 or 2, it is characterized in that: adaptive temperature controller also comprises PLC (7), the signal output part of acquisition module (1), display circuit module (3), off-limit alarm module (4) and keyboard load module (5) all is connected with the signal input part of PLC (7), and the signal output part of PLC (7) is connected with the signal input part of control output module (2).
4. adaptive temperature controller as claimed in claim 3, it is characterized in that: PLC (7) is used to realize pre-tuning control algolithm and adaptive control algorithm, the effect of pre-tuning control algolithm is the disposable pure hysteresis of knowing heating target of debating, and adaptive control algorithm is as described below:
The parameter estimation amount of the object of the parameter estimation amount of new object=old+correction vector * (one-step prediction of new measured value-Xin measured value).
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| CNA2008100383075A CN101592960A (en) | 2008-05-30 | 2008-05-30 | Adaptive temperature controller |
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| CNA2008100383075A CN101592960A (en) | 2008-05-30 | 2008-05-30 | Adaptive temperature controller |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102364400A (en) * | 2011-07-21 | 2012-02-29 | 青岛沈源水务科技有限公司 | Temperature equalizing controller |
| CN103034262A (en) * | 2012-12-25 | 2013-04-10 | 苏州工业职业技术学院 | Intelligent temperature control box |
Citations (3)
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|---|---|---|---|---|
| US5135045A (en) * | 1989-05-23 | 1992-08-04 | Samsung Electronics Co., Ltd. | Space temperature control system and control method thereof |
| CN101073913A (en) * | 2006-05-15 | 2007-11-21 | 宋英华 | Device and method for realtime controlling self-adaptive temperature injection-mould machine and its temperature-adjusting circuit |
| CN201259638Y (en) * | 2008-05-30 | 2009-06-17 | 上海亚泰仪表有限公司 | Adaptive temperature controller |
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2008
- 2008-05-30 CN CNA2008100383075A patent/CN101592960A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5135045A (en) * | 1989-05-23 | 1992-08-04 | Samsung Electronics Co., Ltd. | Space temperature control system and control method thereof |
| CN101073913A (en) * | 2006-05-15 | 2007-11-21 | 宋英华 | Device and method for realtime controlling self-adaptive temperature injection-mould machine and its temperature-adjusting circuit |
| CN201259638Y (en) * | 2008-05-30 | 2009-06-17 | 上海亚泰仪表有限公司 | Adaptive temperature controller |
Non-Patent Citations (1)
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| 陆仲达等: "恒温箱控制系统的硬件设计", 《齐齐哈尔大学学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102364400A (en) * | 2011-07-21 | 2012-02-29 | 青岛沈源水务科技有限公司 | Temperature equalizing controller |
| CN103034262A (en) * | 2012-12-25 | 2013-04-10 | 苏州工业职业技术学院 | Intelligent temperature control box |
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Application publication date: 20091202 |