CN101782317A - Method for controlling hot-air temperature of hot-air drier - Google Patents
Method for controlling hot-air temperature of hot-air drier Download PDFInfo
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- CN101782317A CN101782317A CN200910077099A CN200910077099A CN101782317A CN 101782317 A CN101782317 A CN 101782317A CN 200910077099 A CN200910077099 A CN 200910077099A CN 200910077099 A CN200910077099 A CN 200910077099A CN 101782317 A CN101782317 A CN 101782317A
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Abstract
The invention discloses a method for controlling hot-air temperature of a hot-air drier, which is used for regulating the temperature of the hot air output by a hot-air drier. The method comprises the following steps: receiving a given temperature value, and acquiring the actual temperature value of the hot air output by the drier; comparing the given temperature value with the actual temperature value to acquire a temperature difference; acquiring the temperature difference change rate according to the temperature difference; after fuzzifying the temperature difference and the temperature difference change rate, inquiring a preset control decision table, and acquiring a mapping controlled quantity; and regulating the temperature of the hot air output by the drier by using the mapping controlled quantity as a control signal. Various implementation modes of the invention are used to realize the regulation on the temperature of the hot air output by the hot-air drier.
Description
Technical field
The present invention relates to a kind of control method, relate in particular to a kind of method of controlling hot-air temperature of hot-air drier.
Background technology
In the prior art, most warm-air drier because its time constant is bigger, generally all is big hysteresis system therefore.The temperature control of big hysteresis system itself is exactly a problem that difficulty is bigger, and the Mathematical Modeling of adding warm-air drier is difficult for setting up, thereby causes the hot blast temperature control accuracy lower.
Timber stoving machine, plaster tablet drying machine or the like all are common warm-air driers, and wherein plaster tablet drying machine is applied on the gypsum board production line.The production of plasterboard is a continuous production process, and the drying of plasterboard is an important step of gypsum board manufacture, and its degree of drying directly has influence on the quality of plasterboard finished product.
At present, the drying of plasterboard mainly is the hot blast that provides by drying machine, dries the moisture in the plasterboard.The control of drying machine hot blast temperature is current mainly based on the control theory of classics.Yet because the Mathematical Modeling more complicated of drying machine own, select classical control theory and method for use, regulate as proportional integral (PI) or PID (PID), less to systematic effects, temperature control effect is bad, and precision generally can only be controlled at about 2%.
Therefore, being necessary to improve existing control device comes degree of precision ground to regulate the hot blast temperature that warm-air drier is exported.
Summary of the invention
Technical problem to be solved by this invention is to be to provide a kind of method of controlling hot-air temperature of hot-air drier, in order to regulate the hot blast temperature that warm-air drier is exported.
In order to solve the problems of the technologies described above, the invention provides a kind of method of controlling hot-air temperature of hot-air drier, in order to regulate the hot blast temperature that described drying machine is exported, comprising:
Receive a given temperature value, gather the actual temperature value of the hot blast that described drying machine exports;
Described given temperature value and actual temperature value are compared acquisition one temperature difference;
Obtain the difference variation rate according to the described temperature difference;
After the described temperature difference and difference variation rate carried out Fuzzy processing, the control decision table that inquiry one is default obtained a mapping controlled quentity controlled variable; And
Described mapping controlled quentity controlled variable as a control signal, is regulated the hot blast temperature that described drying machine is exported.
In the aforesaid method, described given temperature value can comprise according to technological requirement to be preset.
In the aforesaid method, the described temperature difference and difference variation rate are carried out Fuzzy processing, can comprise:
The described temperature difference is mapped to a default temperature difference fuzzy subset, obtains a temperature difference domain value;
Described difference variation rate is mapped to a default difference variation rate fuzzy subset, obtains a difference variation rate domain value;
Inquire about described control decision table according to described temperature difference domain value and difference variation rate domain value, obtain an output domain value; And
Obtain described mapping controlled quentity controlled variable according to described output domain value.
Further, described temperature difference fuzzy subset and difference variation rate fuzzy subset can comprise according to fuzzy control theory and presetting.
In the aforesaid method, described control decision table can comprise according to the post operation experience and presetting.
In the aforesaid method, can be further be weighted summation and handle described mapping controlled quentity controlled variable and the temperature difference, with result as described control signal.
Further, the described temperature difference can be weighted processing, obtain a proportion control amount, described mapping controlled quentity controlled variable and proportion control amount are superposeed, with stack result as described control signal.
In the aforesaid method, described warm-air drier can comprise timber stoving machine or plaster tablet drying machine.
Compared with prior art, the various embodiments of the present invention have been realized the adjustment of the hot blast that warm-air drier is exported, and have improved the control effect and the control accuracy of drying machine hot blast temperature, make that whole drying machine and drying system are more stable.
Description of drawings
Fig. 1 is the composition schematic diagram of temperature fuzzy control system one embodiment of warm-air drier of the present invention.
Fig. 2 is the composition schematic diagram of feedback module among the system shown in Figure 1 embodiment.
Fig. 3 is the composition schematic diagram of control module among the system shown in Figure 1 embodiment.
Fig. 4 is the composition schematic diagram of fuzzy control submodule in the control module shown in Figure 3.
Fig. 5 is the composition schematic diagram of weighted sum submodule in the control module shown in Figure 3.
Fig. 6 realizes the method flow signal of hot blast temperature control for system shown in Figure 1 embodiment.
The specific embodiment
Describe embodiments of the present invention in detail below with reference to drawings and Examples, how the application technology means solve technical problem to the present invention whereby, and the implementation procedure of reaching technique effect can fully understand and implements according to this.
Fig. 1 is the composition schematic diagram of temperature fuzzy control system one embodiment of warm-air drier of the present invention.As shown in the figure, this Fuzzy control system embodiment 100 is in order to the hot blast temperature of degree of precision ground adjusting air drier 200, and it mainly comprises feedback module 120, control module 130 and servo module 140, wherein:
E=k
1* e (formula 1)
EC=k
2* ec (formula 2)
Wherein:
E is the temperature difference to given temperature value and actual temperature value;
Ec is the difference variation rate;
E is that the temperature difference is mapped to the temperature difference domain value in the temperature difference fuzzy subset domain;
EC is mapped to difference variation rate domain value in the difference variation rate fuzzy subset domain for the difference variation rate;
k
1Quantizing factor for the temperature difference;
k
2Quantizing factor for the difference variation rate.
Then according to temperature difference domain value E and difference variation rate domain value EC inquiry one according to the post operation experience and default control decision table obtains blow rate required output domain value U, according to following formula this domain value U is shone upon then, obtain a mapping controlled quentity controlled variable u
1For:
u
1=k
3* U (formula 3)
Wherein:
U is a blow rate required output domain value;
u
1Mapping controlled quentity controlled variable for fuzzy controller output;
k
3Quantizing factor for domain value U.
To shine upon controlled quentity controlled variable u then
1E is weighted summation with deviate, with the result of weighted sum as a control signal.Such as shining upon controlled quentity controlled variable u
1With the proportion control amount u of ratio in deviate e
2Addition obtains a control signal u, promptly according to following expression:
U=u
1+ u
2(formula 4)
The u value is the control signal that control module 130 is exported to servo module 140.Certainly, in other embodiment, also can be to mapping controlled quentity controlled variable u
1Be provided with after the weight coefficient of other quantity and the summation the result as this control signal, perhaps directly with this mapping controlled quentity controlled variable u with deviate e
1As this control signal, all can as long as implement the control signal u that situation obtains to satisfy actual needs according to reality.
Fig. 2 is the composition schematic diagram of feedback module 120 among the above-mentioned Fuzzy control system embodiment 100.As shown in Figure 2, this feedback module 120 comprises detecting element 210 and feedback submodule 220 at least, wherein:
Detecting element 210 is used to gather the actual temperature value of the hot blast that air drier 200 exported, and obtains to comprise the temperature signal of this actual temperature value; And
Fig. 3 is the composition schematic diagram of control module 130 among the above-mentioned Fuzzy control system embodiment 100.As shown in Figure 3, this control module 130 mainly comprises:
Scintilla module 320 links to each other with comparison sub-module 310, is used for this deviate e differentiated obtaining the deviate differential ec of this deviate rate of change of expression;
Fig. 4 is the composition schematic diagram of fuzzy control submodule 330 in the above-mentioned control module 130.As shown in Figure 4, this fuzzy control submodule 330 mainly comprises:
First map unit 334, link to each other with comparison sub-module 310, scintilla module 320 and memory cell 332, be used for deviate e is mapped to this temperature difference fuzzy subset, acquisition belongs to this temperature difference fuzzy subset's temperature difference domain value E, deviate differential ec is mapped to this difference variation rate fuzzy subset, obtains to belong to this difference variation rate fuzzy subset's difference variation rate domain value EC;
Second map unit 338 links to each other with query unit 336 and weighted sum submodule 340, is used for this output domain value U is shone upon, and obtains mapping controlled quentity controlled variable u
1
Fig. 5 is the composition schematic diagram of weighted sum submodule 340 in the above-mentioned control module 130.As shown in Figure 5, this weighted sum submodule 340 mainly comprises:
Need to prove that this ratio unit 342 has only carried out the weighting processing to the deviate e that comparison submodule 310 is obtained, the mapping controlled quentity controlled variable u that superpositing unit 344 is directly obtained fuzzy control submodule 330
1Superpose, under the different enforcement situations, the mapping controlled quentity controlled variable u that ratio unit 342 can also be obtained fuzzy control submodule 330
1Be weighted processing and (perhaps also have embodiment mapping controlled quentity controlled variable u
1E is weighted respectively with deviate), and then the processing of suing for peace, with the result that obtains as this control signal.
How Fig. 6 realizes the method flow signal of hot blast temperature control when using for above-mentioned Fuzzy control system embodiment 100.Please refer to Fig. 1 to Fig. 5, as shown in Figure 6, this method flow comprises the steps:
Step S610, the actual temperature value of the hot blast that the collection warm-air drier is exported, acquisition comprises the temperature signal of this actual temperature value, and this temperature signal is converted to feedback signal as required, this feedback signal is such as being voltage signal or current signal, comprises the actual temperature value of the hot blast that warm-air drier exports;
Step S620 receives an input signal that contains a given temperature value, and wherein this given temperature value is to preset according to technological requirement;
Step S630 compares given temperature value and actual temperature value, obtains the deviate e of given temperature value and actual temperature value;
Step S640, e differentiates to this deviate, obtains the deviate differential ec of this deviate rate of change of expression;
Step S650 to deviate e and deviate differential ec Fuzzy processing, obtains two input signals;
Step S660, according to above-mentioned two input signals, inquiry one obtains an output domain value U according to the post operation experience and default control decision table;
Step S670 obtains a mapping controlled quentity controlled variable u according to output domain value U
1
Step S680 is to mapping controlled quentity controlled variable u
1Be weighted summation with deviate e and handle, the result that weighted sum is handled is as a control signal u; Such as shining upon controlled quentity controlled variable u
1With the proportion control amount u of ratio in deviate e
2Addition obtains this control signal u; And
Step S690, according to the aperture size that this control signal u regulates deep fat, hot water or steam valve, control deep fat, hot water or steam flow, thereby the hot blast temperature of adjusting drying machine.
Wherein, above-mentioned steps S650 is to deviate e and deviate differential ec Fuzzy processing, obtain the step of two input signals, the specific implementation process can be that deviate e is mapped to the temperature difference fuzzy subset default according to fuzzy control theory, acquisition one belongs to this temperature difference fuzzy subset's temperature difference domain value E, deviate differential ec is mapped to the difference variation rate fuzzy subset default according to fuzzy control theory, acquisition one belongs to this difference variation rate fuzzy subset's difference variation rate domain value EC, and calculation expression is shown in above-mentioned formula 1 and formula 2.
Below above-mentioned steps S650 is described to step S670 for an example.But it should be noted that following given example only is for convenience of description and is convenient to understand that the present invention does not limit specific implementation.
The threshold value of setting fuzzy control temperature deviation value e is 30, and promptly its basic domain is [30,30], and rate of change is that the basic domain of deviate differential ec is [30,30], and the basic domain of u is [0,100].
Choose input language variable temperature difference domain value E, the difference variation rate domain value EC of this basic fuzzy controller, and and the domain of output language variable blow rate required domain value U be respectively:
E＝{-6，-5，-4，-3，-2，-1，-0，+0，1，2，3，4，5，6}；
EC＝{-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6}；
U＝{-7，-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6，7}。
The quantizing factor of deviate e then
The quantizing factor of deviate differential ec
Mapping controlled quentity controlled variable u
1Scale factor
Choose linguistic variable E, the language value of EC and U is respectively:
E＝{NB，NM，NS，N0，P0，PS，PM，PB}；
EC＝{NB，NM，NS，0，PS，PM，PB}；
U＝{NB，NM，NS，0，PS，PM，PB}。
Determine each fuzzy subset's of NB～PB membership function by normal distyribution function, set up, constitute the assignment table of linguistic variable E, EC and U in order to illustrate that each language value is subordinated to the form of domain degree separately, as follows:
Table 1 linguistic variable E assignment table
Wherein:
The degree of membership at table empty place is null value; Respectively show blank space such as NOS after in the literary composition, be null value;
E is the language value in the table, and X is the domain of deviation E.
Table 2 linguistic variable EC assignment table
Table 3 linguistic variable U assignment table
Above-mentioned steps S670 obtains a mapping controlled quentity controlled variable u according to output domain value U
1Step, the specific implementation process can as above-mentioned formula 3 and the explanation shown in.
The various embodiments of the present invention are based on fuzzy control thought, realized adjusting to the drying machine hot blast temperature, improved the control effect of the hot blast temperature of drying machine, effectively improved the controllability that hot blast temperature is regulated, make temperature control precision far above 2%, for this big hysteresis system of warm-air drier, control accuracy height, system stability can be applicable on the equipment such as timber stoving machine, plaster tablet drying machine.
Though the disclosed embodiment of the present invention as above, the embodiment that described content just adopts for the ease of understanding the present invention is not in order to limit the present invention.Technical staff in any the technical field of the invention; under the prerequisite that does not break away from the disclosed spirit and scope of the present invention; can do any modification and variation what implement in form and on the details; but scope of patent protection of the present invention still must be as the criterion with the scope that appending claims was defined.
Claims (8)
1. a method of controlling hot-air temperature of hot-air drier in order to regulate the hot blast temperature that described drying machine is exported, is characterized in that, comprising:
Receive a given temperature value, gather the actual temperature value of the hot blast that described drying machine exports;
Described given temperature value and actual temperature value are compared acquisition one temperature difference;
Obtain the difference variation rate according to the described temperature difference;
After the described temperature difference and difference variation rate carried out Fuzzy processing, the control decision table that inquiry one is default obtained a mapping controlled quentity controlled variable; And
Described mapping controlled quentity controlled variable as a control signal, is regulated the hot blast temperature that described drying machine is exported.
2. the method for claim 1 is characterized in that:
Described given temperature value comprises according to technological requirement to be preset.
3. the method for claim 1 is characterized in that, the described temperature difference and difference variation rate are carried out Fuzzy processing, comprising:
The described temperature difference is mapped to a default temperature difference fuzzy subset, obtains a temperature difference domain value;
Described difference variation rate is mapped to a default difference variation rate fuzzy subset, obtains a difference variation rate domain value;
Inquire about described control decision table according to described temperature difference domain value and difference variation rate domain value, obtain an output domain value; And
Obtain described mapping controlled quentity controlled variable according to described output domain value.
4. method as claimed in claim 2 is characterized in that:
Described temperature difference fuzzy subset and difference variation rate fuzzy subset comprise according to fuzzy control theory and presetting.
5. the method for claim 1 is characterized in that:
Described control decision table comprises according to the post operation experience and presetting.
6. the method for claim 1 is characterized in that:
Further described mapping controlled quentity controlled variable and the temperature difference are weighted summation and handle, with result as described control signal.
7. method as claimed in claim 6 is characterized in that:
The described temperature difference is weighted processing, obtains a proportion control amount, described mapping controlled quentity controlled variable and proportion control amount are superposeed, with stack result as described control signal.
8. the method for claim 1 is characterized in that:
Described warm-air drier comprises timber stoving machine or plaster tablet drying machine.
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| CN200910077099A CN101782317A (en) | 2009-01-20 | 2009-01-20 | Method for controlling hot-air temperature of hot-air drier |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105180632A (en) * | 2015-10-26 | 2015-12-23 | 中联重机股份有限公司 | Drier temperature control method and drier system |
| CN107472001A (en) * | 2016-12-08 | 2017-12-15 | 宝沃汽车（中国）有限公司 | Control method, device and the vehicle of cooling water pump |
| CN108420320A (en) * | 2018-04-26 | 2018-08-21 | 广东美的厨房电器制造有限公司 | Oven temperature control method, device and computer readable storage medium |
-
2009
- 2009-01-20 CN CN200910077099A patent/CN101782317A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105180632A (en) * | 2015-10-26 | 2015-12-23 | 中联重机股份有限公司 | Drier temperature control method and drier system |
| CN105180632B (en) * | 2015-10-26 | 2018-02-13 | 中联重机股份有限公司 | Dryer temprature control method and its dryer system |
| CN107472001A (en) * | 2016-12-08 | 2017-12-15 | 宝沃汽车（中国）有限公司 | Control method, device and the vehicle of cooling water pump |
| CN107472001B (en) * | 2016-12-08 | 2019-11-22 | 宝沃汽车（中国）有限公司 | Control method, device and the vehicle of cooling water pump |
| CN108420320A (en) * | 2018-04-26 | 2018-08-21 | 广东美的厨房电器制造有限公司 | Oven temperature control method, device and computer readable storage medium |
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Application publication date: 20100721 |