JP3233994B2 - Vulcanizer temperature controller - Google Patents

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 which is preferably used for controlling the temperature of a hot plate of a rubber vulcanizer, for example.
In particular, the invention is to control the temperature of the hot plate in consideration of the heat transfer delay occurring between the mold and the hot plate.

[0002]

2. Description of the Related Art Rubber vulcanization is carried out by putting a material to be vulcanized into upper and lower molds each having a hot plate attached thereto. In such vulcanization, the heating condition and the holding time condition of the material to be vulcanized are extremely important, and various methods have been tried for controlling the temperature of the vulcanizer.

[0003]

However, although conventional PID control (proportional / integral / differential control) or fuzzy control is known as the conventional temperature control, this type of control directly controls the temperature of the heat source. Detect and control. Therefore, if a heat transfer delay occurs between a hot plate that becomes a heat source such as a vulcanizer and a mold that directly transfers heat to a material to be vulcanized, optimal vulcanization conditions cannot be maintained. .
In other words, in a device that transfers heat directly from a heat source to an object to be heated, the above-described PID control and fuzzy control fully perform their functions, but a temperature difference always occurs between a hot plate and a mold. PID control and fuzzy control could not be applied. Also, in putting the material to be vulcanized into the mold and performing the vulcanization treatment, in order to achieve both vulcanization treatment quality and productivity, the temperature of the mold is rapidly raised to an 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 hot plate, which is the heat source, and the mold that transfers heat to the material to be vulcanized, vulcanization is performed while maintaining the heating temperature constant. It was very difficult to shorten the sulfuric acid treatment time.

[0004] 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. In addition, when a vulcanizer for rubber is charged with a material to be vulcanized, or when a material to be vulcanized is taken out, heat flows in and out, and the volume of the material to be vulcanized increases. Since the difference in the amount of heat increases as the temperature increases, there has been a demand for the development of a control device that maintains the vulcanization temperature constant regardless of the specification of the material to be vulcanized, regardless of the situation.

The present invention has been made in view of the above-mentioned problems of the prior art, and reduces the time of vulcanization while observing vulcanization conditions, and also, for example, changes in ambient temperature and mold temperature. It is an object of the present invention to provide a vulcanizer temperature control device that can be applied irrespective of the magnitude of the change in the temperature.

[0006]

In order to achieve the above object, a temperature control apparatus for a vulcanizer according to the present invention is provided in which a material to be heated is charged into a mold, and the object is heated by a hot plate through the mold. In a vulcanizer that heats an object to be heated, a mold temperature sensor that detects an actual temperature of the mold, a hot plate temperature sensor that detects an actual temperature of the hot plate, and an atmosphere of the vulcanizer An ambient 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 for storing the actual temperature of the plate; and calculating a difference temperature between the actual temperature of the die detected by the die temperature sensor and the set temperature of the die stored in the storage unit. A first temperature deviation calculating unit; 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 fuzzy inference with a predetermined fuzzy rule and a membership function based on the temperature change calculated by the first temperature change calculator and the temperature change calculated by the first temperature change calculator. A first fuzzy inference unit for executing an inference value, and a heat stored in the storage unit according to a predetermined control rule based on an ambient temperature of the vulcanizer detected by the ambient temperature sensor. A correction amount calculation unit that calculates and calculates a correction amount of the set temperature of the plate; an inference value obtained by the first fuzzy inference unit; and a storage amount based on the correction amount obtained by the correction amount calculation unit. A hot plate set temperature changing unit that changes the set temperature of the stored hot plate, and an 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 calculating unit that calculates a difference in temperature between the changed hot plate and the set temperature after the change, 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 calculator for calculating a difference between the actual temperature of the hot plate and the actual temperature a predetermined time ago; and a temperature deviation obtained by the second temperature deviation calculator and the second temperature. Based on the temperature change obtained by the change calculation unit, a second fuzzy inference unit that obtains an inference value by executing fuzzy inference using a predetermined fuzzy rule and membership function, and a second fuzzy inference unit that obtains an inference value An output value calculating unit that calculates an operation time of the hot plate based on the inferred value and outputs a control signal determined by the calculation result to a control unit of the hot plate.

[0007]

According to the present invention, in a vulcanizer in which an object to be heated is subjected to heat treatment via a mold by a hot plate, the temperature of the mold having a large temperature change and poor response is directly controlled and maintained at 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 the heat treatment. At the same time, the effect of the ambient temperature on the temperature of the hot plate is also taken into consideration. That is, first, the actual temperature of the hot plate is controlled so as to become the set temperature of the hot plate. The correction is performed by changing the set temperature of the hot plate, and control is performed such that the set temperature of the hot plate after the change and the actual temperature of the hot plate are always equal to the set temperature of the hot plate.

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

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

In this way, the temperature of the hot plate is controlled to a constant temperature, instead of directly maintaining and controlling the temperature of the mold having a large temperature change and poor response. 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, it is possible to perform optimal temperature control appropriately in response to the situation fluctuation. . In addition, since fuzzy inference is used for controlling 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 performs a smooth temperature change.

[0011]

An embodiment of the present invention will be described below with reference to the drawings. FIG. 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 section of the embodiment, and FIG. FIG. 3A is a graph showing a membership function in a 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 a correction amount of a set temperature of the hot plate. FIG. 4 is a diagram showing a fuzzy rule in the second fuzzy inference unit of the embodiment, FIG. 5 is a graph showing a membership function in the second fuzzy inference unit of the embodiment, and FIG. FIG. 5B is a graph showing a temperature change, and FIG. 5C is a graph showing a membership function of a manipulated variable of a duty ratio of a hot plate. FIG. 6 is a diagram showing a control law of the correction amount calculating unit according to the embodiment, and FIG. 7 is a method for obtaining a control amount from the three membership functions shown in FIGS. 3 and 5, respectively (M
AX-MIN-center of gravity method.

First, as shown in FIG. 1, a vulcanizer to which the hot plate temperature control device of this embodiment is applied includes an upper mold 2 and a lower mold 2 into which a rubber material 1 as a material to be vulcanized (heated material) is charged. When the upper and lower molds 2 and 3 are clamped, a cavity 15 is formed inside the mold. The rubber material 1 is appropriately shaped into a desired shape while being vulcanized by the shape of the cavity 15.

An upper heating plate 4 is fixed to the upper mold 2.
A lower heating plate 5 is fixed to the lower mold 3. By outputting a control signal from the hot plate control unit 17 to these hot plates 4 and 5, heat is transmitted to the respective dies 2 and 3 to perform vulcanization. The ratio between the time for heating and the time for stopping the heating of the upper hot plate 4 and the lower hot plate 5 according to a control signal from the hot plate control unit 17, that is, the so-called duty ratio is adjusted. That is, the molds 2 and 3 are raised to a certain temperature by repeating the operation / stop of the hot plates 4 and 5 at certain time intervals, and this temperature is maintained.

In the temperature control device of this embodiment, the set temperature of the hot plate is sequentially corrected in accordance with the actual temperature of the mold and the ambient temperature, and this correction amount is used as a parameter for calculating the operation amount of the duty ratio of the hot plate. The configuration is 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 the present embodiment). In addition to detecting the actual temperature tm of the upper mold 2, 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 calculator 9, and the first temperature change. The data is output to the calculation unit 10.

As the mold temperature sensor 6 of the present embodiment, for example, it is preferable to use a thermocouple in which thermoelectromotive force is converted into a physical quantity. From the viewpoint of handling, it is preferable that the mold temperature sensor 6 of the present invention be used. The temperature sensor is not limited to the pair, and another temperature sensor such as a thermistor or a temperature measuring resistor that uses electrical resistance as a conversion physical quantity when temperature accuracy or resolution is required may be used. These mold temperature sensors 6
What is necessary is just to select suitably according to various conditions, such as the detection temperature range of the used dies 2 and 3, and the required measurement accuracy and resolution. In this embodiment, the mold temperature sensor 6 is attached only to the upper mold 2, but may be provided to both the lower mold 3 and the upper and lower molds 2, 3.

The temperature control device according to the present embodiment includes a storage unit 8, a memory 8b for storing the actual temperature tm of the upper mold 2 described above, and a memory for a mold input by an external setting device (not shown). A memory 8a for storing the set temperature Tm,
Similarly, a memory 8c for storing a set temperature Th of the hot plate inputted by another external setting device (not shown) and an actual temperature th of the upper hot plate 4 inputted from a hot plate temperature sensor 7 described later. And a memory 8d to be stored. The memories 8a and 8c for storing the set temperature Tm of the mold and the set temperature Th of the hot plate need only store at least the current set temperature. The memories 8b and 8 for storing the actual temperature th
As for d, it is necessary to store at least two data, that is, the current actual temperatures tm and th and the actual temperatures tm-1 and th-1 a predetermined time ago.

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

On the other hand, the first actual temperature tm of the mold is inputted to the first temperature change calculating section 10 at regular time intervals from the mold temperature sensor 6, and at the same time, from the memory 8b of the storage section 8 for a constant time. The actual temperature tm-1 of the previous mold is input. Then, the temperature change Δ1 of the mold,
That is, the temperature change of the mold Δ1 = the actual temperature tm of the mold−the actual temperature tm−1 of the mold a predetermined time ago is obtained by calculation.

Further, the first fuzzy inference unit 11 according to the present embodiment is based on the temperature deviation δ1 and the temperature change Δ1 obtained by the first temperature deviation calculation unit 9 and the first temperature change calculation unit 10, respectively. Perform fuzzy inference.
The fuzzy inference in the first fuzzy inference unit 11 is as follows.
It is executed according to the fuzzy rules shown in FIG. 2 and the membership functions shown in FIGS. 3 (A), 3 (B), and 3 (C). First, as for 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 (antecedent unit). Is used.

FIG. 3 shows the temperature deviation δ1.
As shown in (A), seven 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. In addition, each fuzzy label is
NL (negative large = large on the negative side), N
M (negative / middle = middle on the negative side), NS
(Negative small = small on the negative side), ZR
(Zero level = no change), PS (positive small = small positive value), PM (positive middle = medium positive value), PL (positive large = large positive value) .

FIG. 3B shows the temperature change Δ1.
As shown in FIG. 7, 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. The meaning of each fuzzy label is the same as in the case of the above-mentioned temperature deviation δ1.

These temperature deviation δ1 and temperature change Δ1
When the input parameters are the combinations shown in FIG. 2, fuzzy inference is executed in 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 The manipulated variable of the set temperature of the hot plate = NL. That is, the temperature deviation δ1 is + 10 ° C. or more (the actual mold temperature tm is considerably higher than the set temperature Tm), and the temperature change Δ1 is -10 ° C. to 0 ° C.
If the actual temperature tm of the mold is slightly lower, the manipulated variable of the set temperature of the hot plate is set to -10 ° C or less (lower the set temperature of the hot plate).

The definition of the consequent part is as shown in FIG. 3 (C), in which the operation amount of the set temperature of the hot plate is determined using seven fuzzy labels NL, NM, 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 + 10 ° C. PL = + 10 ° C or higher. The meaning of each fuzzy label is the same as in the case of the above-mentioned temperature deviation δ1, except that the negative (minus side) means lowering the set temperature of the hot plate, and the 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-centroid method as shown in FIG. 7, and a final correction amount is obtained. This MAX-MI
The N-centroid method is a general method of fuzzy control for obtaining a final correction amount from a form of a membership function of a consequent part (see FIG. 3C) obtained by applying a 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 used as a correction amount. It is output to the calculation unit 19. The correction amount calculation unit 19 obtains a correction amount of the set temperature of the hot plate according to a predetermined simple control rule 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. Conversely, when the ambient temperature is lower than 10 ° C., the set temperature of the hot plate is slightly increased to suppress a decrease in the temperature of the hot plate due to a decrease in 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. The hot plate set temperature change unit 12 includes a correction amount calculation unit 19
And the first fuzzy inference unit 1 described above.
The operation amount from 1 is weighed and changed to the optimal hot plate set temperature Th.

On the other hand, the configuration for calculating the final operation amount of the hot plate based on the changed set temperature Th of the hot plate obtained by the above configuration will be described. The 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), and detects the actual temperature th of the upper hot plate 4 The data (actual temperature th of the upper hot plate) from the plate temperature sensor is stored in the storage unit 8 and the second temperature deviation calculation unit 13,
And the second temperature change calculator 14.

As the hot plate temperature sensor 7 of the present embodiment, it is preferable to use a thermocouple in which, for example, the thermoelectromotive force is converted into a physical quantity, similarly to the above-described mold temperature sensor 6, from the viewpoint of handling. The hot plate temperature sensor 7 of the present invention is not limited to this thermocouple, but may be any other temperature sensor, such as a thermistor or a resistance thermometer that uses electrical resistance as a conversion physical quantity when temperature accuracy or resolution is required. May be used. These hot plate temperature sensors 7 may be appropriately selected in accordance with various conditions such as the detection temperature range of the hot plates 4 and 5 to be used and necessary measurement accuracy and resolution. In this embodiment, the hot plate temperature sensor 7 is attached only to the upper hot plate 4, but may be provided to the lower hot plate 5 or both the upper and lower hot plates 4, 5.

The temperature controller of this embodiment has a temperature deviation δ2
And a second temperature change calculator 14 for calculating the temperature change Δ2.
The temperature deviation calculating unit 13 includes the hot plate set 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 = the actual temperature th of the hot plate−the set temperature Th of the hot plate + the operation amount of the set temperature of the hot plate + the correction amount Δte of the set temperature of the hot plate Calculate and find.

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

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 inference. The fuzzy inference in the second fuzzy inference unit 15 is based on the fuzzy rules shown in FIG. 4 and the fuzzy rules shown in FIGS.
This is executed according to the membership function shown in FIG. First, regarding the fuzzy rule shown in FIG. 4, the second temperature deviation calculating unit 1 is used as a parameter of the input unit (antecedent unit).
3 and the second temperature change calculator 1
4 is used.

FIG. 5 shows the temperature deviation δ2.
As shown in (A), seven 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. In addition, each fuzzy label is
NL (negative large = large on the negative side), N
M (negative / middle = middle on the negative side), NS
(Negative small = small on the negative side), ZR
(Zero level = no change), PS (positive small = small positive value), PM (positive middle = medium positive value), PL (positive large = large positive value) .

FIG. 5B shows the temperature change Δ2.
As shown in the figure, 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. The meaning of each fuzzy label is the same as in the case of the temperature deviation δ2 described above.

These temperature deviation δ2 and temperature change Δ2
Are the combinations shown in FIG. 4, fuzzy inference is executed in the conclusion part (consequent part) according to the definition shown in FIG. For example, in the first fuzzy rule shown in FIG. 4, IF (temperature deviation δ2 = PL AND temperature change Δ2 = N
S) THEN The control amount (duty ratio) of the hot plate = 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 lower, the operation amount of the duty ratio for the hot plate is set to -10% or less (to shorten the operating time of the hot plate).

The consequent part is defined as follows. As shown in FIG. 5C, the operation amount of the duty ratio output from the hot plate control unit 17 to the hot plates 4 and 5 is controlled by 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. The meaning of each fuzzy label is the same as the case of the temperature deviation δ2 described above, but the negative (minus side) means shortening the operation time of the hot plate with respect to the stop time, and the positive (plus side) Has the opposite meaning.

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-centroid method as shown in FIG. 7, and a final correction amount is obtained.

The duty ratio operation amount (inferred value) obtained in this manner is converted into a command signal for controlling the duty ratio of the actual heating time of the hot plate in the output value calculating section 16 according to the present embodiment. Is done. As described above, the duty ratio of the heating time of the hot plate is controlled by the hot plate
Is the ratio between the time when the hot plate is actually operated and the time when it is stopped.

Next, the operation will be described. According to the present invention, in a vulcanizer in which the object to be heated 1 is heat-treated by the hot plates 4 and 5 via the molds 2 and 3, the mold temperature having a large temperature change and poor response is directly reduced to a constant temperature. It is noted that controlling the temperature of the hot plate to a constant temperature is more effective for the conditions of the heat treatment than maintaining the temperature. At the same time, the effect of the ambient temperature on the temperature of the hot plate is also 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 difference between the actual temperature tm of the mold and the set temperature Tm of the mold is taken into consideration in consideration of the ambient temperature. The correction is performed by changing the set temperature Th of the hot plate, and control is performed such that the set temperature Th of the hot plate after the change is changed to the actual temperature tm of the hot plate so as to always become the set temperature of the hot plate.

In this temperature control, first, the actual temperature tm of the mold is taken from the mold temperature sensor 6 at fixed time intervals, and is taken into the first temperature deviation calculation section 9, the first temperature change calculation section 10, and the storage section 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 calculator 9, and the temperature difference δ1 of the mold (difference between the actual temperature tm of the mold and the set temperature Tm of the mold). Is calculated. Further, the actual temperature tm-1 of the mold before a predetermined time is output from the memory 8b of the storage unit 8 to the temperature change calculation unit 10, and the temperature change calculation unit 10 compares the current actual temperature tm of the mold with the mold. The difference between the actual temperature tm-1 and the temperature change .DELTA.1 is calculated and obtained.

The temperature deviation δ1 and the temperature change Δ1
The first fuzzy inference unit 11 executes fuzzy inference using a predetermined fuzzy rule (see FIG. 2) and a membership function (see FIGS. 3 (A), (B), and (C)) to calculate an inference value. This is output to the hot plate set temperature changing unit 12.

On the other hand, the ambient temperature te detected by the ambient temperature sensor 18 is output to a correction amount calculating section 19, and the correction amount calculating section 19 calculates the thermal temperature 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 change unit 12, and the correction amount Δte from the correction amount calculation unit 19 is output by the hot plate set temperature change unit 12. Then, the operation amount from the first fuzzy inference unit 11 is compared with the operation amount, and the temperature is changed to the optimal set temperature Th of the hot plate.

The second temperature deviation calculator 13 calculates the set temperature Th of the hot plate after the change from the hot plate temperature changer 12 described above,
The actual temperature t of the hot plate at fixed time intervals from the hot plate temperature sensor 7
Capture h. At the same time, the hot plate set temperature Th is taken from the memory 8c of the storage unit 8 into the second temperature deviation calculation unit 13, and the hot plate temperature deviation δ2 (the actual hot plate temperature th and the corrected hot plate set temperature Is calculated and calculated. Further, the actual temperature th-1 of the hot plate before a predetermined time is output from the memory 8d of the storage unit 8 to the second temperature change calculating unit 14, and the second actual temperature of the hot plate is calculated by the second temperature change calculating unit 14. The difference between th and the actual temperature th-1 of the hot plate a predetermined time before, that is, the temperature change Δ2 is calculated and obtained.

The temperature deviation δ2 and the temperature change Δ2
Based on the above, the second fuzzy inference unit 15 executes fuzzy inference using a predetermined fuzzy rule (see FIG. 4) and a membership function (see FIGS. 5 (A), (B), and (C)) to calculate an inference value. And outputs it to the output value calculation unit 16. The output value calculation unit 16 calculates the duty ratio of the operation / stop time of the hot plate, 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 the present embodiment
Rather than directly maintaining and controlling the mold temperature, which has a large temperature change and poor responsiveness, the temperature of the hot plate is configured to be controlled to a constant temperature, and the temperature is controlled according to the actual mold temperature and ambient temperature. Since the set temperature of the hot plate is sequentially corrected, even if the temperature of the mold or the ambient temperature fluctuates greatly, it is possible to perform optimal temperature control appropriately in response to the fluctuation of the situation. In addition, since fuzzy inference is used for controlling 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 performs a smooth temperature change.

It should be noted that the present invention is not limited to the above-described embodiment, but can be variously modified without departing from the gist of the present invention. For example, in the above-described embodiment, a specific example in which the temperature control device of the present invention is applied to temperature control of a hot plate used in a vulcanizer has been described, but the basic idea of the temperature control device of the present invention is that of a vulcanizer. The present invention is not limited to this, and can be applied to an apparatus that heats a heated object.

[0046]

The temperature control apparatus for a vulcanizer according to the present invention provides 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 predetermined time. The first fuzzy inference is executed using the temperature difference from the actual temperature as an input parameter, and the correction amount of the set temperature of the hot plate is obtained based on this and the ambient temperature. A second fuzzy inference is executed using the difference between the set temperature and the difference between the actual temperature of the hot plate and the actual temperature of the hot plate before a certain period of time as input parameters. Since the operating time of the plate is controlled, the vulcanization process time can be shortened without overshooting while observing the vulcanization conditions, and all vulcanizations can be performed regardless of the amount of change in mold temperature and ambient temperature. Applicable to machines.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a temperature control device for a vulcanizer according to one 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 a 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 fuzzy rules in a second fuzzy inference unit of the embodiment.

FIG. 5 is a graph showing a membership function in a second 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 an operation amount of a duty ratio of a hot plate.

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

FIG. 7 shows a method (MAX-MIN-) for obtaining a control amount from the three membership functions shown in FIGS. 3 and 5, respectively.
FIG.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 ... Heated thing (cured material) 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 Temperature memory 8b: Memory of the actual temperature of the hot plate before a certain time 8c: Memory of the set temperature of the mold 8d: Memory of the hot plate temperature before a certain time 9: First temperature deviation calculator 10: First temperature change Calculation unit 11: First fuzzy inference unit 12: Hot plate set temperature change 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: Atmospheric temperature sensor 19: Correction amount calculation unit tm: Actual temperature of the mold tm-1: Actual temperature of the mold before a certain time th: Actual temperature of the hot plate th-1 ... 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

Continuation of front page (56) References JP-A-2-106307 (JP, A) JP-A-63-209817 (JP, A) JP-A-61-84211 (JP, A) JP-A-4-189120 (JP, A) JP-A-61-259482 (JP, A) JP-A-63-302011 (JP, A) JP-A-63-194922 (JP, A) JP-A-2-169226 (JP, A) 62-185014 (JP, U) (58) Fields investigated (Int. Cl. ⁷ , DB name) B29C 33/00-35/18

Claims (1)

(57) [Claims] An object to be heated (1) is put into a mold (2, 3), and the object (1) is heated by a hot plate (4, 5) via the mold (2, 3). In a vulcanizer for heat-treating, a mold temperature sensor (6) for detecting the actual temperature (tm) of the mold and a hot plate temperature sensor (7) for detecting the actual temperature (th) of the hot plate ), An ambient temperature sensor (18) for detecting an ambient temperature (te) of the vulcanizer, a set temperature of the mold (Tm), and a set temperature of the hot plate (Tm).
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 (tm) of the die detected by the die temperature sensor (6), and a set temperature (Tm) of the die stored in the storage unit (8). A first temperature deviation calculating unit (9) for calculating a temperature difference (δ1) between the mold temperature sensor (6) and an actual temperature (tm) of the mold detected by the mold temperature sensor (6), and the storage unit (8). A first temperature change calculator (10) for calculating a temperature difference (Δ1) between the actual temperature (tm) of the mold and the actual temperature (tm-1) a predetermined time ago, stored in the mold; The temperature deviation (δ1) obtained by the first temperature deviation calculation section (9) and the temperature deviation (δ1) obtained by the first temperature change calculation section (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 setting the hot plate stored in the storage unit (8) according to a predetermined control law based on the ambient temperature (te) of the vulcanizer detected by the ambient temperature sensor (18). A correction amount calculator (19) for calculating a correction amount (Δte) of the temperature (Th); an inference value obtained by the first fuzzy inference unit (11) and a correction amount calculation unit (19) A hot plate set temperature changing unit (12) for changing a set temperature (Th) of the hot plate stored in the storage unit (8) based on the corrected amount (Δte); The difference temperature (δ2) between the actual temperature (th) of the hot plate detected in step 7) and the set temperature (Th) after the change of the hot plate obtained by the hot plate set temperature changing section (12) is calculated. A second temperature deviation calculator (13) for calculating; and the hot plate temperature sensor (7). Of the actual temperature (th) of the hot plate and the actual temperature (th-1) of the hot plate stored in the storage unit (8), the actual temperature (th-1) of a predetermined time ago. A second temperature change calculator (14) for calculating a temperature difference (Δ2) between the temperature difference (δ2) obtained by the second temperature difference calculator (13) and the second temperature change calculator (14). ), A second fuzzy inference unit (1) for executing fuzzy inference according to a predetermined fuzzy rule and membership function to obtain an inference value based on the temperature change (Δ2).
5) calculating an operation time of the hot plate (4, 5) 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 section (16) for outputting a control signal determined by the calculation result to a control section (17) of the hot plate.