JPH0623755A - Temperature control device of vulcanizing machine - Google Patents

Abstract

PURPOSE:To apply the title device to various vulcanizing machine regardless of a variation of an atmospheric temperature or a quantity of a change of a mold temperature by shortening a vulcanization treatment time while following a vulcanizing condition. CONSTITUTION:The first fuzzy reasoning 11 is carried out by making a temperature difference delta1 between a measured temperature tm of a mold and an established temperature Tm of the mold and a temperature difference DELTA1 between the measured temperature tm and a measured temperature tm-1 to be obtained before a fixed time out of the measured temperatures into an input parameter and a quantity of correction of an established temperature of a hot plate is obtained by the input parameter and an atmospheric temperature te. Furthermore, the second fuzzy reasoning 15 is carried out by making a temperature difference delta2 between a measured temperature th of the hot plate and an established temperature Th of the hot plate after change and a temperature difference DELTA2 between the measured temperature th of the hot plate and a measured temperature th-1 to be obtained before a fixed time out of the measured temperatures into an input parameter and a duty ratio of an operation time of the hot plate is controlled based on the reasoning value.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a temperature control device preferably used for controlling the temperature of a hot plate of a rubber vulcanizer, for example.
In particular, the invention controls the temperature of the hot plate in consideration of the heat transfer delay that occurs between the mold and the hot plate.

[0002]

2. Description of the Related Art The vulcanization process of rubber is carried out by placing an object to be vulcanized in upper and lower molds to which hot plates are attached. In such a vulcanization treatment, since the heating condition and the holding time condition of the vulcanizate are extremely important, various methods have heretofore been attempted for controlling the temperature of the vulcanizer.

[0003]

However, although PID control (proportional / integral / derivative control) and fuzzy control are known as conventional temperature control, this type of control directly controls the temperature of the heat source. It was detected and controlled. Therefore, if a heat transfer delay occurs between a hot plate that serves as a heat source and a mold that directly transfers heat to the material to be vulcanized, as in a vulcanizer, optimum vulcanization conditions could not be maintained. .
That is, in a device that directly transfers heat from a heat source to an object to be heated, the above-mentioned PID control and fuzzy control sufficiently exhibit their functions, but since there is always a temperature difference between the hot plate and the mold, it remains unchanged. PID control and fuzzy control could not be applied. In addition, when the vulcanizate is put into the mold and subjected to the vulcanization treatment, in order to make the vulcanization quality and the productivity compatible with each other, the temperature of the mold is rapidly raised to the optimum temperature, It is necessary to carry out vulcanization while maintaining this for a certain period of time, but since there is a temperature difference between the heat plate that is the heat source and the mold that transfers heat to the material to be vulcanized, vulcanization is performed while keeping the heating temperature constant. It was extremely difficult to reduce the sulfur treatment time.

In particular, there is a problem that the temperature of the mold and the hot plate is greatly affected by the ambient temperature in which the vulcanizer is installed. Further, the rubber vulcanizer causes heat to flow in and out when a vulcanizate is put in or when a vulcanizate that has been vulcanized is taken out, and moreover the volume of the vulcanizate increases. Since the difference in the amount of heat becomes larger as the amount of heat increases, there has been a demand for the development of a control device that keeps the vulcanization temperature constant in any situation regardless of the specifications of the material to be vulcanized.

The present invention has been made in view of the above problems of the prior art, and shortens the vulcanization time while complying with the vulcanization conditions, and, for example, changes in atmospheric temperature and mold temperature. It is an object of the present invention to provide a temperature control device for a vulcanizer which can be applied regardless of the amount of change in the temperature.

[0006]

In order to achieve the above object, a temperature control device for a vulcanizer according to the present invention is configured such that an object to be heated is put into a mold, and a hot plate is used to move the object through the mold. In a vulcanizer that heat-treats an object to be heated, a mold temperature sensor that detects the actual temperature of the mold, a hot plate temperature sensor that detects the actual temperature of the hot plate, and an atmosphere of the vulcanizer An atmosphere temperature sensor for detecting a temperature, a set temperature of the mold, a set temperature of the hot plate, an actual temperature of the mold detected by the mold temperature sensor, and a heat detected by the hot plate temperature sensor. A storage unit that stores the actual temperature of the plate, and calculates a temperature difference between the actual temperature of the mold detected by the mold temperature sensor and the set temperature of the mold stored in the storage unit. The first temperature deviation calculator and the mold temperature sensor detect the temperature. First calculating a temperature difference between been actual temperature of a certain time before of the actual temperature of the mold which are stored in the actual temperature and the storage unit of the mold
A temperature change calculation unit, and based on the temperature deviation calculated by the first temperature deviation calculation unit and the temperature change calculated by the first temperature change calculation unit, fuzzy reasoning by a predetermined fuzzy rule and membership function. A first fuzzy inference unit that is executed to obtain an inferred value, and heat stored in the storage unit according to a predetermined control rule based on the ambient temperature of the vulcanizer detected by the ambient temperature sensor. A correction amount calculation unit that calculates a correction amount of the set temperature of the plate, an inference value calculated by the first fuzzy inference unit, and a correction amount calculated by the correction amount calculation unit in the storage unit. By the hot plate set temperature changing unit that changes the stored hot plate set temperature, the actual temperature of the hot plate detected by the hot plate temperature sensor and the hot plate set temperature changing unit. A second temperature deviation calculation unit for calculating a temperature difference between the changed hot plate and the changed set temperature; and an actual temperature of the hot plate detected by the hot plate temperature sensor and stored in the storage unit. A second temperature change calculation unit that calculates a temperature difference between the actual temperature of the hot plate and the actual temperature before a certain time, the temperature deviation obtained by the second temperature deviation calculation unit, and the second temperature A second fuzzy inference unit that executes a fuzzy inference by a predetermined fuzzy rule and a membership function to obtain an inference value based on the temperature change obtained by the change calculation unit, and is obtained by the second fuzzy inference unit. And an output value calculation unit that calculates the operating time of the hot plate based on the inferred value and outputs a control signal determined by the calculation result to the control unit of the hot plate.

[0007]

According to the present invention, in the vulcanizer in which the object to be heated is heated by the hot plate through the mold, rather than directly controlling the mold temperature with a large temperature change and poor response to a constant temperature. Pays attention to the fact that controlling the temperature of the hot plate to a constant temperature is more effective for the conditions of heat treatment. At the same time, the influence of the ambient temperature on the temperature of the hot plate is taken into consideration. That is, first, the actual temperature of the hot plate is controlled so as to reach the set temperature of the hot plate, and the amount of deviation of the actual temperature of the mold from the set temperature of the mold is taken into consideration while considering the ambient temperature. Correction is performed by changing the set temperature of the plate, and control is performed so that the actual temperature of the hot plate and the set temperature of the hot plate after the change are always equal to the set temperature of the hot plate.

In this temperature control, first, the first temperature deviation calculation unit and the first temperature deviation calculation unit are used based on the information from the mold temperature sensor and the storage unit.
In the temperature change calculation part, the difference between the actual temperature of the mold and the set temperature of the mold (temperature deviation δ1), and the actual temperature of the mold and the actual temperature of the mold before a certain time And the temperature difference (temperature change Δ1) with. And this temperature deviation δ1
Based on the temperature change Δ1 and the temperature change Δ1, the first fuzzy inference unit executes fuzzy inference by a predetermined fuzzy rule and membership function to obtain an inferred value, and the inferred value and the hot plate set temperature obtained from the ambient temperature sensor. The set temperature of the hot plate is changed by the hot plate set temperature changing unit based on the correction amount and the set temperature of the hot plate after the change is output to the second temperature deviation calculation unit.

Then, based on the information from the hot plate temperature sensor, the storage unit, and the hot plate set temperature changing unit described above, the second
In the temperature deviation calculation unit and the second temperature change calculation unit, the temperature difference between the actual temperature of the hot plate and the set temperature after the change of the hot plate (temperature deviation δ2
), And the difference between the actual temperature of the hot plate and the actual temperature of the hot plate after a certain period of time (temperature change Δ2). Then, based on the temperature deviation δ2 and the temperature change Δ2, the second fuzzy inference unit executes the fuzzy inference according to the predetermined fuzzy rule and the membership function to obtain the inference value, and the output value calculation unit calculates the inference value of the hot plate. The operation time is calculated, and a control signal determined by the calculation result is output to the control unit of the hot plate.

As described above, the temperature of the hot plate is controlled so that the temperature of the hot plate is maintained at a constant temperature, instead of directly maintaining and controlling the temperature of the mold where the temperature change is large and the response is poor. Since the set temperature of the hot plate is sequentially corrected according to the temperature and the ambient temperature, even if the mold temperature fluctuates greatly, the optimum temperature control can be appropriately performed in accordance with the fluctuation of the situation. . In addition, since fuzzy reasoning is used to control the temperature of the hot plate, the temperature rise rate of the mold can be achieved in the shortest time, and the actual temperature of the mold can be prevented from overshooting. This is a preferable control for a vulcanizer that makes a smooth temperature change.

[0011]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below with reference to the drawings. 1 is a block diagram showing a hot plate temperature control device for a vulcanizer according to an embodiment of the present invention, FIG. 2 is a diagram showing a fuzzy rule in a first fuzzy inference unit of the same embodiment, and FIG. 3 is the same embodiment. 3 is a graph showing a membership function in the first fuzzy inference unit of FIG.
3B is a graph showing a temperature change, and FIG. 3C is a graph showing a membership function of the correction amount of the set temperature of the hot plate. 4 is a diagram showing a fuzzy rule in the second fuzzy inference unit of the same embodiment, FIG. 5 is a graph showing a membership function in the second fuzzy inference unit of the same embodiment, and FIG. 5 (A) is a temperature deviation, 5B is a graph showing a temperature change, and FIG. 5C is a graph showing a membership function of the manipulated variable of the duty ratio of the hot plate. Further, FIG. 6 is a diagram showing a control law of the correction amount calculation unit according to the embodiment, and FIG. 7 is a method for obtaining a control amount from three membership functions shown in FIGS. 3 and 5, respectively (M
It is a graph which shows AX-MIN-centroid method.

First, as shown in FIG. 1, the vulcanizer to which the hot plate temperature control apparatus of this embodiment is applied is an upper mold 2 and a lower mold for charging a rubber material 1 which is an object to be vulcanized (heated material). 3, and a cavity 15 is formed inside the mold when the upper and lower molds 2 and 3 are clamped. The shape of the cavity 15 allows the rubber material 1 to be appropriately molded into a desired shape while being vulcanized.

An upper heating plate 4 is fixed to the upper mold 2,
A lower hot plate 5 is fixed to the lower mold 3. By outputting a control signal from the hot plate controller 17 to these hot plates 4 and 5, heat is transferred to the respective molds 2 and 3 to perform the vulcanization process. The upper hot plate 4 and the lower hot plate 5 are adjusted by a control signal from the hot plate controller 17 so as to adjust a ratio of a heating time and a heating stop time, that is, a so-called duty ratio. That is, by repeatedly operating / stopping the heating plates 4 and 5 at a constant time interval, the molds 2 and 3 are raised to a constant temperature and this temperature is maintained.

In the temperature controller of this embodiment, the set temperature of the hot plate is sequentially corrected according to the actual temperature of the mold and the ambient temperature, and this correction amount is used as a parameter for calculating the manipulated variable of the duty ratio of the hot plate. It is configured to be used. Specifically, as shown in FIG. 1, the mold temperature sensor 6 according to the present embodiment is attached to at least one of the upper mold 2 and the lower mold 3 (the upper mold 2 in this embodiment). The actual temperature tm of the upper mold 2 is detected, and the data (actual temperature tm of the upper mold) from the mold temperature sensor 6 is stored in the storage unit 8, the first temperature deviation calculation unit 9, and the first temperature change. It is adapted to be output to each of the calculation units 10.

As the mold temperature sensor 6 of the present embodiment, it can be said that it is preferable to use, for example, a thermocouple in which thermoelectromotive force is used as a conversion physical quantity, but the mold temperature sensor 6 of the present invention uses this thermoelectric power. The temperature sensor is not limited to a pair, and another temperature sensor, for example, a thermistor or a resistance temperature detector having an electric resistance as a conversion physical quantity may be used when temperature accuracy or resolution is required. These mold temperature sensors 6 are
It may be appropriately selected depending on various conditions such as the detection temperature range of the molds 2 and 3 used and the required measurement accuracy and resolution. Although the mold temperature sensor 6 is attached only to the upper mold 2 in this embodiment, it may be provided to both the lower mold 3 and the upper and lower molds 2, 3.

The temperature control device of this embodiment is provided with a storage unit 8 for storing the above-mentioned actual temperature tm of the upper mold 2 in the memory 8b and a mold inputted by an external setting device (not shown). A memory 8a for storing the set temperature Tm,
Similarly, the memory 8c stores the set temperature Th of the hot plate input by another external setting device (not shown) and the actual temperature th of the upper hot plate 4 input from the hot plate temperature sensor 7 described later. It is composed of a memory 8d. The memories 8a and 8c for storing the set temperature Tm of the mold and the set temperature Th of the hot plate need to store at least the current set temperature, but the actual temperature tm of the mold and the hot plate Memories 8b, 8 for storing the actual temperature th
It is necessary for d to store at least the present actual temperatures tm and th and the actual temperatures tm-1 and th-1 before a fixed time and two data.

Further, the temperature control apparatus of this embodiment includes a first temperature deviation calculating section 9 for calculating a temperature deviation δ1, and a temperature change Δ.
And a first temperature change calculation unit 10 for calculating 1.
The actual temperature tm of the current mold is input to the first temperature deviation calculation unit 9 from the mold temperature sensor 6 at regular time intervals,
At the same time, the current set temperature Tm of the mold is input from the memory 8a of the storage unit 8. And
The temperature deviation δ1 of the die, that is, the temperature deviation δ1 of the die = actual temperature tm of the die−the set temperature Tm of the die is calculated.

On the other hand, the actual temperature tm of the current mold is input to the first temperature change calculation unit 10 from the mold temperature sensor 6 at fixed time intervals, and at the same time, from the memory 8b of the storage unit 8 for a fixed time. The actual temperature tm-1 of the previous mold is input. And the temperature change Δ1 of the mold,
That is, the mold temperature change Δ1 = actual mold temperature tm−actual mold temperature tm−1 before a fixed time is calculated.

Further, the first fuzzy inference unit 11 according to the present embodiment is based on the temperature deviation δ1 and the temperature change Δ1 respectively obtained by the first temperature deviation calculation unit 9 and the first temperature change calculation unit 10 described above. , Perform fuzzy reasoning.
The fuzzy inference in the first fuzzy inference unit 11 is
It is executed according to the fuzzy rule shown in FIG. 2 and the membership function shown in FIGS. 3 (A) (B) (C). First, regarding the fuzzy rule shown in FIG. 2, the temperature deviation δ1 input from the first temperature deviation calculation unit 9 and the temperature change Δ1 input from the first temperature change calculation unit 10 as parameters of the input unit (preceding unit). Is used.

The temperature deviation δ1 is shown in FIG.
As shown in (A), seven fuzzy labels NL, N
Using M, NS, ZR, PS, PM, PL, NL = -10 ° C or less NM = -15 ° C to -5 ° C NS = -10 ° C to ± 0 ° C ZR = -5 ° C to + 5 ° C PS = ± 0 ° C to + 10 ° C PM = + 5 ° C to + 15 ° C PL = + 10 ° C or more. In addition, each fuzzy label is
NL (negative large = large on the negative side), N
M (negative middle = medium on the negative side), NS
(Negative small = small on the minus side), ZR
Means (zero level = no change), PS (positive small = small on the positive side), PM (positive middle = medium on the positive side), PL (positive large = large on the positive side) .

The temperature change Δ1 is shown in FIG. 3 (B).
As shown in, the same 7 fuzzy labels NL, N
Using M, NS, ZR, PS, PM and PL, NL = -10 ° C or less NM = -15 ° C to -5 ° C NS = -10 ° C to ± 0 ° C ZR = -5 ° C to + 5 ° C PS = ± 0 ° C to + 10 ° C PM = + 5 ° C to + 15 ° C PL = + 10 ° C or more. The meaning of each fuzzy label is the same as in the case of the temperature deviation δ1 described above.

These temperature deviation δ1 and temperature change Δ1
2 is a combination shown in FIG. 2, the fuzzy inference is executed for each of the conclusion part (consequent part) according to the definition shown in FIG. For example, in the first fuzzy rule of FIG. 2, IF (temperature deviation δ1 = PL AND temperature change Δ1 = N
S) THEN Operation amount of set temperature of hot plate = NL. That is, the temperature deviation .delta.1 is + 10.degree. C. or more (the actual mold temperature tm is considerably higher than the set temperature Tm), and the temperature change .DELTA.1 is -10.degree.
If the actual temperature tm of the mold is slightly falling, the manipulated variable of the set temperature of the hot plate is set to -10 ° C or lower (the set temperature of the hot plate is lowered).

This consequent part is defined by using seven fuzzy labels NL, NM, NS, ZR, PS, PM and PL for the manipulated variable of the set temperature of the hot plate, as shown in FIG. , NL = -10 ° C or less NM = -15 ° C to -5 ° C NS = -10 ° C to ± 0 ° C ZR = -5 ° C to + 5 ° C PS = ± 0 ° C to + 10 ° C PM = + 5 ° C to + 10 ° C PL = The temperature is + 10 ° C or higher. Each fuzzy label has the same meaning as in the case of the temperature deviation δ1 described above, but negative (minus side) means lowering the set temperature of the hot plate, and positive (plus side) means the opposite. is there.

Then, two parameters of the temperature deviation δ1 and the temperature change Δ1 are input to the antecedent part of the fuzzy rule, and the conclusion of the consequent part is obtained according to the fuzzy rule shown in FIG. The conclusion of the consequent obtained as a result is evaluated by the MAX-MIN-center of gravity method as shown in FIG. 7, and the final correction amount is obtained. In addition, this MAX-MI
The N-centroid method is a general method of fuzzy control that finds the final correction amount from the form of the membership function (see FIG. 3C) of the consequent part obtained by applying the fuzzy rule.

In this embodiment, an ambient temperature sensor 18 for detecting the ambient temperature of the vulcanizer is provided near the vulcanizer, and the ambient temperature information detected by the ambient temperature sensor 18 is a correction amount. It is output to the calculation unit 19. The correction amount calculation unit 19 obtains the correction amount of the set temperature of the hot plate according to a simple control rule determined in advance as shown in FIG. For example, as shown in FIG. 6, when the ambient temperature around the vulcanizer is 30 ° C. or higher, the set temperature of the hot plate is slightly lowered to suppress the actual temperature rise of the hot plate. On the contrary, when the atmospheric temperature is lower than 10 ° C., the set temperature of the hot plate is slightly raised to suppress the temperature drop of the hot plate due to the decrease of the ambient temperature.

The correction amount Δte of the set temperature of the hot plate obtained by this control law is output to the hot plate set temperature changing unit 12. In the hot plate setting temperature changing unit 12, the correction amount calculating unit 19
Correction amount Δte from the first fuzzy reasoning unit 1
The manipulated variable from 1 is compared and weighed to change to the optimum set temperature Th of the hot plate.

On the other hand, the structure for calculating the final manipulated value of the hot plate based on the changed set temperature Th of the hot plate obtained by the above-mentioned structure will be described. The upper hot plate 4 or the lower hot plate 5 will be described. A hot plate temperature sensor 7 according to the present embodiment is attached to at least one of the above (the upper hot plate 4 in the present embodiment) to detect the actual temperature th of the upper hot plate 4 and Data from the plate temperature sensor (actual temperature th of the upper hot plate) is stored in the storage unit 8 and the second temperature deviation calculation unit 13,
And output to the second temperature change calculation unit 14, respectively.

As the hot plate temperature sensor 7 of this embodiment, it is preferable to use, for example, a thermocouple in which thermoelectromotive force is used as a conversion physical quantity, as in the mold temperature sensor 6 described above. The hot plate temperature sensor 7 of the present invention is not limited to this thermocouple, but may be another temperature sensor, for example, a thermistor or a resistance temperature detector whose electrical resistance is converted into a physical quantity when temperature accuracy or resolution is required. May be used. These hot plate temperature sensors 7 may be appropriately selected depending on various conditions such as the detection temperature range of the hot plates 4 and 5 to be used and the required measurement accuracy and resolution. Although the hot plate temperature sensor 7 is attached only to the upper hot plate 4 in this embodiment, it may be provided to the lower hot plate 5 or both the upper and lower hot plates 4 and 5.

The temperature control device of this embodiment has a temperature deviation δ2.
And a second temperature change calculation unit 14 for calculating a temperature change Δ2.
The temperature deviation calculation unit 13 includes the hot plate setting temperature changing unit 1 described above.
The set temperature Th of the hot plate after the change from 2 and the current actual temperature th of the hot plate are input from the hot plate temperature sensor 7 at regular time intervals. At the same time, the current set temperature Th of the hot plate is input from the memory 8c of the storage unit 8. Then, the temperature deviation δ2 of the hot plate, that is, the temperature deviation δ2 of the hot plate = actual temperature of the hot plate th−the set temperature Th of the hot plate + the manipulated variable of the set temperature of the hot plate + the correction amount Δte of the set temperature of the hot plate Calculate and obtain.

On the other hand, the current actual temperature t h of the hot plate is input to the second temperature change calculation unit 14 from the hot plate temperature sensor 7 at a constant time interval, and at the same time, the memory 8 d of the storage unit 8 receives the constant time. The actual temperature th-1 of the previous hot plate is input. And the temperature change Δ2 of the hot plate,
That is, the temperature change Δ2 of the hot plate = the actual temperature of the hot plate th−the actual temperature of the hot plate th−1 before a fixed time is calculated and obtained.

Further, the second fuzzy inference unit 15 according to the present embodiment is based on the temperature deviation δ2 and the temperature change Δ2 obtained by the second temperature deviation calculation unit 13 and the second temperature change calculation unit 14, respectively. , Perform fuzzy reasoning. The fuzzy inference in the second fuzzy inference unit 15 is performed by using the fuzzy rules shown in FIG. 4 and FIGS.
It is executed according to the membership function shown in (C). First, regarding the fuzzy rule shown in FIG. 4, the second temperature deviation calculation unit 1 is used as a parameter of the input unit (preceding unit).
Temperature deviation δ2 input from 3 and the second temperature change calculation unit 1
The temperature change Δ2 input from 4 is used.

The temperature deviation δ2 is shown in FIG.
As shown in (A), seven fuzzy labels NL, N
Using M, NS, ZR, PS, PM, PL, NL = -10 ° C or less NM = -15 ° C to -5 ° C NS = -10 ° C to ± 0 ° C ZR = -5 ° C to + 5 ° C PS = ± 0 ° C to + 10 ° C PM = + 5 ° C to + 15 ° C PL = + 10 ° C or more. In addition, each fuzzy label is
NL (negative large = large on the negative side), N
M (negative middle = medium on the negative side), NS
(Negative small = small on the minus side), ZR
Means (zero level = no change), PS (positive small = small on the positive side), PM (positive middle = medium on the positive side), PL (positive large = large on the positive side) .

The temperature change Δ2 is shown in FIG. 5 (B).
As shown in, the same 7 fuzzy labels NL, N
Using M, NS, ZR, PS, PM and PL, NL = -10 ° C or less NM = -15 ° C to -5 ° C NS = -10 ° C to ± 0 ° C ZR = -5 ° C to + 5 ° C PS = ± 0 ° C to + 10 ° C PM = + 5 ° C to + 15 ° C PL = + 10 ° C or more. The meaning of each fuzzy label is the same as in the case of the temperature deviation δ 2 described above.

These temperature deviation δ2 and temperature change Δ2
4 is a combination shown in FIG. 4, the fuzzy inference is executed for each of the conclusion part (consequent part) according to the definition shown in FIG. For example, in the first fuzzy rule of FIG. 4, IF (temperature deviation δ2 = PL AND temperature change Δ2 = N
S) THEN Hot plate control amount (duty ratio) = NL. That is, the temperature deviation δ2 is + 10 ° C or more (the actual hot plate temperature th is considerably higher than the corrected set temperature Th-ΔTh), and the temperature change Δ2 is -10 ° C to 0 ° C ( When the actual temperature th of the hot plate is slightly decreasing), the operation amount of the duty ratio to the hot plate is set to -10% or less (the operating time of the hot plate is shortened).

As shown in FIG. 5C, the definition of the consequent part is that the operation amount of the duty ratio output from the hot plate controller 17 to the hot plates 4 and 5 is seven fuzzy labels NL, NM and N.
Using S, ZR, PS, PM and PL, NL = -10% or less NM = -15% to -5% NS = -10% to ± 0% ZR = -5% to + 5% PS = ± 0% -+ 10% PM = + 5%-+ 10% PL = + 10% or more. Each fuzzy label has the same meaning as in the case of the temperature deviation δ2 described above, but negative (minus side) means that the hot plate operating time is shorter than the stop time, and positive (plus side). Is the opposite of this.

Then, two parameters of the temperature deviation δ2 and the temperature change Δ2 are input to the antecedent part of the fuzzy rule, and the conclusion of the consequent part is obtained according to the fuzzy rule shown in FIG. The conclusion of the consequent obtained as a result is evaluated by the MAX-MIN-center of gravity method as shown in FIG. 7, and the final correction amount is obtained.

The duty ratio manipulated variable (inferred value) thus obtained is converted into a command signal for controlling the duty ratio of the actual heating time of the hot plate in the output value calculation unit 16 according to this embodiment. To be done. As described above, the duty ratio of the heating time of the hot plate is from the hot plate controller 17 to the hot plates 4, 5
Is the ratio of the time when the hot plate is actually operated and is stopped to the time when it is stopped.

Next, the operation will be described. In the present invention, in the vulcanizer in which the object to be heated 1 is heat-treated by the heat plates 4 and 5 through the molds 2 and 3, the mold temperature, which has a large temperature change and is poor in responsiveness, is directly changed to a constant temperature. We pay attention to the fact that controlling the temperature of the hot plate to a constant temperature is more effective for the heat treatment conditions than maintaining it. At the same time, the influence of the ambient temperature on the temperature of the hot plate is taken into consideration. That is, first, the actual temperature th of the hot plate is controlled so as to become the set temperature Th of the hot plate, and the actual temperature tm of the mold is deviated from the set temperature Tm of the mold in consideration of the ambient temperature. However, it is controlled by changing the set temperature Th of the hot plate so that the set temperature Th of the hot plate after changing the actual temperature tm of the hot plate is always the set temperature of the hot plate.

In this temperature control, first, the actual temperature tm of the mold is fetched from the mold temperature sensor 6 at regular time intervals, and the actual temperature tm of the mold is calculated by the first temperature deviation calculation unit 9, the first temperature change calculation unit 10, and the storage unit 8. To the memory 8b. At the same time,
The set temperature Tm of the mold is output from the memory 8a of the storage unit 8 to the first temperature deviation calculation unit 9, and the mold temperature deviation δ1 (the temperature difference between the actual mold temperature tm and the set temperature Tm of the mold). Is calculated to obtain. Further, the memory 8b of the storage unit 8 outputs the actual temperature tm-1 of the mold before a fixed time to the temperature change calculation unit 10, and the temperature change calculation unit 10 outputs the current actual temperature tm of the mold and the mold. The temperature difference from the actual temperature tm-1 before a certain time, that is, the temperature change Δ1 is calculated and obtained.

Then, the temperature deviation δ1 and the temperature change Δ1
Based on the above, the first fuzzy inference unit 11 executes fuzzy inference by a predetermined fuzzy rule (see FIG. 2) and a membership function (see FIGS. 3A, 3B, and 3C) to obtain an inference value. It is obtained and output to the hot plate setting temperature changing unit 12.

On the other hand, the ambient temperature te detected by the ambient temperature sensor 18 is output to the correction amount calculation unit 19, which heats it according to a predetermined simple control rule shown in FIG. The correction amount Δte of the set temperature of the plate is obtained. The correction amount Δte of the set temperature of the hot plate obtained by this control law is output to the hot plate set temperature changing unit 12, and the hot plate set temperature changing unit 12 outputs the correction amount Δte from the correction amount calculation unit 19 to the correction amount Δte. , The above-mentioned operation amount from the first fuzzy inference unit 11 is compared and weighed, and the optimum set temperature Th of the hot plate is changed.

In the second temperature deviation calculation unit 13, the set temperature Th of the hot plate after the change from the hot plate temperature changing unit 12 described above,
The actual temperature t of the hot plate from the hot plate temperature sensor 7 at regular time intervals
Take in h. At the same time, the set temperature Th of the hot plate is fetched from the memory 8c of the storage unit 8 into the second temperature deviation calculation unit 13, and the temperature deviation δ2 of the hot plate (actual temperature th of the hot plate and the set temperature of the hot plate after correction) is taken. And the difference temperature) is calculated. In addition, the memory 8d of the storage unit 8 outputs the actual temperature th-1 of the hot plate after a certain period of time to the second temperature change calculation unit 14, and the second temperature change calculation unit 14 outputs the current actual temperature of the hot plate. The temperature difference between th and the actual temperature th-1 of the hot plate before a certain time, that is, the temperature change Δ2 is calculated and obtained.

Then, the temperature deviation δ2 and the temperature change Δ2
Based on the above, the second fuzzy inference unit 15 executes fuzzy inference by a predetermined fuzzy rule (see FIG. 4) and a membership function (see FIGS. 5 (A) (B) (C)) to obtain an inference value. It is obtained and output to the output value calculation unit 16. The output value calculation unit 16 calculates the duty ratio of the hot plate operation / stop time, and outputs a control signal determined by the calculation result to the hot plate control unit 17.

As described above, the temperature control device of this embodiment is
Rather than directly maintaining and controlling the mold temperature, which has large temperature changes and poor responsiveness, it is configured to control the temperature of the hot plate to a constant temperature, and according to the actual mold temperature and ambient temperature. Since the set temperature of the hot plate is sequentially corrected, even if the mold temperature or the ambient temperature greatly varies, the optimum temperature control can be appropriately performed in accordance with the situational variation. In addition, since fuzzy reasoning is used to control the temperature of the hot plate, the temperature rise rate of the mold can be achieved in the shortest time, and the actual temperature of the mold can be prevented from overshooting. This is a preferable control for a vulcanizer that makes a smooth temperature change.

The present invention is not limited to the above-mentioned embodiments, but can be variously modified without departing from the gist of the present invention. For example, in the above embodiment, a specific example in which the temperature control device of the present invention is applied to the temperature control of the hot plate used in the vulcanizer is shown, but the basic idea of the temperature control device of the present invention is the vulcanizer. The present invention is not limited to the above, and can be applied to an apparatus for heat-treating a heated material.

[0046]

The temperature control device for a vulcanizer according to the present invention is a temperature difference between the actual temperature of the mold and the set temperature of the mold, and the actual temperature of the mold and the actual temperature of the mold before a certain time. The first fuzzy inference is executed using the temperature difference from the actual temperature as an input parameter, the correction amount of the set temperature of the hot plate is obtained from this and the ambient temperature, and the actual temperature of the hot plate and the hot plate after the change are calculated. The second fuzzy inference is executed with the temperature difference from the set temperature and the temperature difference between the actual temperature of the hot plate and the actual temperature of the hot plate, which is a certain time before, as input parameters, and based on this inferred value Since the operation time of the plate is controlled, the vulcanization time can be shortened without overshooting while complying with the vulcanization conditions, and any vulcanization can be performed regardless of the amount of change in the mold temperature or the ambient temperature. Applicable to machine.

[Brief description of drawings]

FIG. 1 is a block diagram showing a temperature control device for a vulcanizer according to an embodiment of the present invention.

FIG. 2 is a diagram showing a fuzzy rule in a first fuzzy inference unit of the embodiment.

FIG. 3 is a graph showing a membership function in the first fuzzy inference unit of the embodiment, where (A) is a temperature deviation,
(B) is a graph showing a temperature change, and (C) is a graph showing a membership function of a correction amount of a set temperature of a hot plate.

FIG. 4 is a diagram showing a fuzzy rule in a second fuzzy inference unit of the embodiment.

FIG. 5 is a graph showing a membership function in the second fuzzy inference unit of the example, where (A) is a temperature deviation,
(B) is a graph showing a temperature change, and (C) is a graph showing a membership function of an operation amount of a duty ratio of a hot plate.

FIG. 6 is a diagram showing a control law of a correction amount calculation unit according to the embodiment.

FIG. 7 is a method (MAX-MIN-method) for obtaining a control amount from three membership functions shown in FIGS. 3 and 5, respectively.
It is a graph explaining a gravity center method).

[Explanation of symbols]

 1 ... Heated object (vulcanized object) 2 ... Upper mold 3 ... Lower mold 4 ... Upper hot plate 5 ... Lower hot plate 6 ... Mold temperature sensor 7 ... Hot plate temperature sensor 8 ... Storage part 8a ... Hot plate setting Memory of temperature 8b ... Memory of actual temperature of hot plate before fixed time 8c ... Memory of preset temperature of mold 8d ... Memory of hot plate temperature before fixed time 9 ... First temperature deviation calculator 10 ... First temperature change Calculation unit 11 ... First fuzzy inference unit 12 ... Hot plate setting temperature changing unit 13 ... Second temperature deviation calculation unit 14 ... Second temperature change calculation unit 15 ... Second fuzzy inference unit 16 ... Output value calculation unit 17 ... Hot plate Control unit 18 ... Atmosphere temperature sensor 19 ... Correction amount calculation unit tm ... Actual temperature of mold tm-1 ... Actual temperature of mold before a fixed time th ... Actual temperature of hot plate th-1 ... Before constant time Actual temperature of hot plate Th ... Set temperature of hot plate Tm ... Set temperature of mold Δte ... Correction of set temperature of hot plate amount

Claims (1)

[Claims] 1. An object to be heated (1) is placed in a mold (2, 3) and is heated by a heating plate (4, 5) through the mold (2, 3). In a vulcanizer that heat-treats, a mold temperature sensor (6) that detects the actual temperature (tm) of the mold and a hot plate temperature sensor (7) that detects the actual temperature (th) of the hot plate. ), An ambient temperature sensor (18) for detecting an ambient temperature (te) of the vulcanizer, a preset temperature (Tm) of the mold, and a preset temperature (T) of the hot plate.
h), the actual temperature of the mold (tm) detected by the mold temperature sensor (6), and the actual temperature of the hot plate (th) detected by the hot plate temperature sensor (7) are stored. A storage unit (8), an actual temperature of the mold (tm) detected by the mold temperature sensor (6), and a set temperature (Tm) of the mold stored in the storage unit (8). A first temperature deviation calculation unit (9) for calculating a temperature difference (δ1) between the temperature difference and the actual temperature (tm) of the mold detected by the mold temperature sensor (6) and the storage unit (8). A first temperature change calculation unit (10) for calculating a temperature difference (Δ 1) from the actual temperature (tm) of the mold stored in the actual temperature (tm -1) before a certain time. The temperature deviation (δ1) calculated by the first temperature deviation calculation unit (9) and the temperature deviation (δ1) calculated by the first temperature change calculation unit (10). Temperatures vary based on (.DELTA.1), first fuzzy inference unit for determining an inference value by executing the fuzzy inference by the fuzzy rules and membership functions previously determined (11)
And the setting of the hot plate stored in the storage unit (8) according to a predetermined control rule based on the ambient temperature (te) of the vulcanizer detected by the ambient temperature sensor (18). A correction amount calculation unit (19) for calculating a correction amount (Δte) of the temperature (Th), an inference value obtained by the first fuzzy inference unit (11), and an correction amount calculation unit (19). A hot plate temperature setting unit (12) for changing the hot plate set temperature (Th) stored in the storage unit (8) based on the corrected amount (Δte), and the hot plate temperature sensor ( 7) The temperature difference (δ2) between the actual temperature (th) of the hot plate detected by 7) and the changed temperature (Th) of the hot plate obtained by the hot plate setting temperature changing unit (12). A second temperature deviation calculation unit (13) for calculating, and the hot plate temperature sensor (7) Of the actual temperature of the hot plate detected by (th) and the actual temperature of the hot plate stored in the storage unit (8) (th) before a certain time (th-1) A second temperature change calculation unit (14) for calculating a temperature difference (Δ2) between the second temperature change calculation unit (14) and the temperature difference (δ2) calculated by the second temperature deviation calculation unit (13). ) Based on the temperature change (Δ 2) determined by the second fuzzy inference unit (1) that executes fuzzy inference by a predetermined fuzzy rule and membership function to obtain an inferred value.
5) and the operating time of the hot plate (4, 5) is calculated based on the inference value obtained by the second fuzzy inference unit (15),
A temperature control device for a vulcanizer, comprising: an output value calculation unit (16) that outputs a control signal determined by the calculation result to the control unit (17) of the hot plate.