CN115816787A - Intelligent injection molding production control method and device - Google Patents

Abstract

The application relates to the technical field of injection molding machine control, and discloses an intelligent injection molding production control method and device. Through the pressure data of gathering the die cavity, and read pressure data through the PLC controller, judge whether pressure data surpasss the scope of predetermineeing, can judge whether the injection moulding injection of current die cavity accords with the expectation through the concrete numerical value of pressure data like this, if not conform to, the PLC controller can in time stop system operation, gather the first real-time temperature data of feed cylinder through the temperature patrol instrument, and calculate temperature deviation and deviation rate of change through the PID controller, can adjust the real-time temperature of feed cylinder according to temperature deviation and deviation rate of change like this, thereby improve the precision of feed cylinder heating temperature, after the temperature adjustment, the PLC controller acquires the real-time temperature data of second, if the real-time temperature data of second surpasss the scope of predetermineeing the temperature, the PLC controller then stops system operation, can improve the intellectuality of injection molding machine like this.

Description

Intelligent injection molding production control method and device

technical field

The present application relates to the technical field of injection molding machine control, in particular to an intelligent injection molding production control method and device.

Background technique

At present, the world's energy crisis is constantly threatening industrial development, and the use of metal materials and wood materials is not conducive to sustainable development, and gradually cannot meet the demand. This has led to the prosperity of the plastic industry, and the demand for plastic products is increasing day by day. It is an effective way to deal with the energy crisis and resource shortage by replacing steel, wooden materials, and other non-metallic materials with high-performance plastic materials. , as the most commonly used plastic molding method, injection molding processing technology is more and more widely used. And with the development of science and technology, injection molding production is gradually automated. However, the degree of automation of injection molding machines is still not high, which leads to low temperature control accuracy of injection molding machines, which makes injection molding machines less intelligent. Therefore, existing The injection molding machine manufacturing level is not high.

Contents of the invention

The present application provides an intelligent injection molding production control method and device, aiming to solve the technical problem of low temperature control accuracy of injection molding machines in the prior art.

This application provides an intelligent injection molding production control method, including:

The sensor collects cavity pressure data;

The temperature inspection instrument collects the first real-time temperature data of the barrel;

The PID controller acquires the first preset temperature data, and calculates the temperature deviation and the deviation change rate according to the first real-time temperature data and the first preset temperature data;

adjusting the real-time temperature of the barrel according to the temperature deviation and the deviation change rate to obtain second real-time temperature data;

The PLC controller obtains the pressure data, and judges whether the pressure data exceeds the preset pressure range;

If the pressure data exceeds the preset pressure range, the PLC controller stops the system operation;

The PLC controller acquires second real-time temperature data, and judges whether the second real-time temperature data exceeds a preset temperature range;

If the second real-time temperature data exceeds a preset temperature range, the PLC controller stops system operation.

As preferably, the step of collecting cavity pressure data by the sensor includes:

Collect the current analog quantity and perform A/D conversion on the current analog quantity;

Determine whether the A/D conversion is complete;

If the A/D conversion is completed, open the analog channel;

Get the analog channel address;

The sensor reads the pressure data and displacement data based on the analog channel address, and stores the pressure data and displacement data in the PLC register.

Preferably, the step of collecting the first real-time temperature data of the barrel by the temperature patrol instrument includes:

Segment the barrel according to the preset value to obtain a multi-segment barrel;

Fix the heating device on each section of the barrel so that the heating device can heat each section of the barrel separately;

Obtain the preset collection time;

The first real-time temperature data of each section of barrel is collected respectively according to the preset collection time.

As preferably, the step of calculating temperature deviation and deviation rate of change according to the first real-time temperature data and the first preset temperature data includes:

Calculate the temperature deviation according to the first real-time temperature data and the first preset temperature data, wherein the calculation formula is:

P(n)=W(n)-W ₀ ;

Wherein, P(n) represents the temperature deviation collected for the nth time, W(n) represents the first real-time temperature data collected for the nth time, and W ₀ represents the first preset temperature data;

Calculate the temperature deviation rate according to the temperature deviation, where the calculation formula is:

PC(n)=P(n)-P(n-1);

Among them, PC(n) represents the temperature deviation rate, and P(n-1) represents the temperature deviation collected for the n-1th time.

Preferably, the step of adjusting the real-time temperature of the barrel according to the temperature deviation and the deviation change rate to obtain the second real-time temperature data includes:

Perform fuzzification on the temperature deviation and deviation change rate collected for the nth time based on the fuzzy algorithm, and obtain the fuzzy temperature deviation and fuzzy deviation change rate after fuzzification;

Input the fuzzy temperature deviation and the rate of change of the fuzzy deviation into the PID controller as input variables;

Based on the input variables, the PID controller determines the fuzzy basic discourse domain, quantitative discourse domain and quantization factor parameters;

The PID controller obtains fuzzy rules based on the basic domain of discourse, quantitative domain of discourse and quantitative factor parameters, and outputs a fuzzy lookup table based on the fuzzy rules, where the fuzzy parameter lookup table includes adjustment values corresponding to different fuzzy temperature deviations and fuzzy deviation change rates ;

The real-time temperature of the barrel is adjusted based on adjustment values corresponding to different fuzzy temperature deviations and fuzzy deviation change rates to obtain second real-time temperature data.

As a preference, after the step of adjusting the real-time temperature of the barrel according to the temperature deviation and the deviation change rate to obtain the second real-time temperature data, it also includes:

Outputting a PWM pulse width modulation signal according to the second real-time temperature data;

According to the PWM pulse width modulation signal, whether the heating coil of the barrel is heated or not is controlled.

As a preference, the intelligent injection molding production control method also includes:

Obtain the armature current vector when the permanent magnet synchronous motor is running;

Obtain the flux flux linkage component when the permanent magnet synchronous motor is running;

Obtain the inductance component of the stator winding and the equivalent flux linkage generated by the rotor magnetic field to the three-phase winding;

Obtain the mechanical angular velocity of the permanent magnet synchronous motor;

Calculate the direct-axis voltage and quadrature-axis voltage of the permanent magnet synchronous motor based on the armature current vector, flux flux linkage component, inductance component and equivalent flux linkage, where the calculation formula is:

Among them, U _d represents the direct-axis voltage, U _q represents the quadrature-axis voltage, ω _r is the mechanical angular velocity of the permanent magnet synchronous motor, l _q is the inductance component of the stator winding, φ _d is the magnetic flux flux linkage component, and i _q is the current The armature current component of , φ _f is the equivalent flux linkage generated by the rotor magnetic field to the three-phase winding;

The direct-axis voltage and the quadrature-axis voltage are input into the stator of the permanent magnet synchronous motor, so that the permanent magnet synchronous motor operates according to the preset speed and torque.

The present application also provides an intelligent injection molding production control device, including:

A sensor for collecting mold cavity pressure data;

The temperature inspection instrument is used to collect the first real-time temperature data of the barrel;

PID controller, used to acquire first preset temperature data, and calculate temperature deviation and deviation change rate according to first real-time temperature data and first preset temperature data;

It is also used to adjust the real-time temperature of the barrel according to the temperature deviation and the deviation change rate to obtain second real-time temperature data;

The PLC controller is also used to obtain pressure data and judge whether the pressure data exceeds a preset pressure range;

If the pressure data exceeds the preset pressure range, the PLC controller stops the system operation;

The PLC controller is also used to acquire second real-time temperature data, and determine whether the second real-time temperature data exceeds a preset temperature range;

If the second real-time temperature data exceeds a preset temperature range, the PLC controller stops system operation.

Preferably, the sensor includes:

The acquisition unit is used to acquire the current analog quantity and perform A/D conversion on the current analog quantity;

a judging unit for judging whether the A/D conversion is completed;

The opening unit is used to open the analog channel if the A/D conversion is completed;

The obtaining unit is used to obtain the analog channel address;

The storage unit is used to read the pressure data and displacement data based on the analog channel address, and store the pressure data and displacement data in the PLC register.

The beneficial effects of the application are: the application collects the pressure data of the mold cavity and reads the pressure data through the PLC controller to judge whether the pressure data exceeds the preset range, so that the injection molding of the current mold cavity can be judged by the specific value of the pressure data. Whether the injection meets expectations, if not, the PLC controller can stop the system in time, which can improve the molding rate in the injection molding process and ensure the processing quality of injection molded parts; the first real-time temperature data of the barrel is collected by the temperature inspection instrument, And calculate the temperature deviation and deviation change rate through the PID controller, so that the real-time temperature of the barrel can be adjusted according to the temperature deviation and deviation change rate, thereby improving the accuracy of the barrel heating temperature. After the temperature is adjusted, the PLC controller obtains the first Two real-time temperature data, if the second real-time temperature data exceeds the preset temperature range, the PLC controller will stop the system operation, which can improve the intelligence of the injection molding machine and improve the manufacturing level of the injection molding machine.

Description of drawings

FIG. 1 is a schematic flowchart of a method according to an embodiment of the present application.

FIG. 2 is a schematic structural diagram of a device according to an embodiment of the present application.

The realization, functional features and advantages of the present application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

As shown in Figure 1 and Figure 2, this application provides an intelligent injection molding production control method, including:

S1. The sensor collects cavity pressure data;

S2. The temperature inspection instrument collects the first real-time temperature data of the barrel;

S3. The PID controller acquires the first preset temperature data, and calculates the temperature deviation and the deviation change rate according to the first real-time temperature data and the first preset temperature data;

S4. Adjust the real-time temperature of the barrel according to the temperature deviation and the deviation change rate to obtain second real-time temperature data;

S5. The PLC controller acquires pressure data, and judges whether the pressure data exceeds a preset pressure range;

S6. If the pressure data exceeds the preset pressure range, the PLC controller stops the system operation;

S7. The PLC controller acquires second real-time temperature data, and judges whether the second real-time temperature data exceeds a preset temperature range;

S8. If the second real-time temperature data exceeds a preset temperature range, the PLC controller stops system operation.

As described in the above steps S1-S8, during the injection process of injection molding, high injection pressure is required to maintain the injection speed. At the same time, in order to resist the injection pressure, mold clamping pressure needs to be used. After the injection is completed, aggressive pressure maintenance is required inside the mold cavity , Therefore, this application collects the pressure data of the mold cavity and reads the pressure data through the PLC controller to judge whether the pressure data exceeds the preset range, so that it can be judged whether the injection molding of the current mold cavity meets expectations through the specific value of the pressure data , if not, the PLC controller can stop the system operation in time, which can improve the molding rate in the injection molding process and ensure the processing quality of injection molded parts; and in the process of injection molding processing, plastic raw materials need to be heated in the barrel to convert into In the molten state, different plastic raw materials have different heating temperatures, so if the heating temperature control accuracy of the barrel is not high, it will have an impact on product quality, production efficiency and safety in the production process. In order to improve the temperature control accuracy, this application first passes the temperature The inspection instrument collects the first real-time temperature data of the barrel, and calculates the temperature deviation and the deviation change rate through the PID controller (Proportion Integration Dfferentiation, proportional-integral-differential controller), so that the barrel can be adjusted according to the temperature deviation and the deviation change rate. The real-time temperature is adjusted to improve the accuracy of the barrel heating temperature. When the temperature is adjusted, the PLC controller obtains the second real-time temperature data. If the second real-time temperature data exceeds the preset temperature range, the PLC controller stops the system operation. This can improve the intelligence of the injection molding machine and improve the manufacturing level of the injection molding machine.

In one embodiment, the step S1 of collecting mold cavity pressure data by the sensor includes:

S11, collecting the current analog quantity, and performing A/D conversion on the current analog quantity;

S12, judging whether the A/D conversion is completed;

S13, if the A/D conversion is completed, then open the analog channel;

S14. Obtain an analog channel address;

S15. The sensor reads the pressure data and the displacement data based on the analog channel address, and stores the pressure data and the displacement data in the PLC register.

As described in the above steps S11-S15, when collecting pressure data, you can collect the current analog quantity, and then perform A/D conversion on the current analog quantity. After the conversion is completed, open the analog quantity channel, so that you can obtain the analog quantity channel The address to read the pressure data and displacement data, so that in addition to keeping the pressure inside the mold cavity, the position of the mold opening device can be detected in real time through the displacement data, and then the movement displacement of the mold opening device can be judged. Accuracy, indirectly improve the quality and product precision of injection molding products.

In one embodiment, the step S2 of collecting the first real-time temperature data of the barrel by the temperature patrol instrument includes:

S21. Segment the barrel according to the preset value to obtain a multi-segment barrel;

S22. Fixing a heating device on each section of the barrel so that the heating device can individually heat each section of the barrel;

S23. Obtain a preset collection time;

S24. Collect the first real-time temperature data of each section of barrel respectively according to the preset collection time.

As described in the above steps S21-S24, when collecting the temperature of the barrel in the prior art, an independent temperature conversion chip and a filter method circuit are usually required, and there is only one heating device on the barrel, so when collecting the temperature, the temperature acquisition The temperature at the point cannot represent the heating temperature of the entire barrel, so the accuracy of the existing temperature data collection is low. Based on this, this application first divides the barrel into sections, and a barrel can be divided according to its volume. Multi-section, such as four sections, and a heating device is fixed on each section. When the temperature inspection instrument collects the temperature of the barrel, the temperature sensor uses a thermocouple, which can directly contact the thermocouple with the multi-section barrel, so that no temperature conversion chip is needed in the middle And filtering method circuit, so as to provide detection accuracy, the temperature inspection instrument can obtain the first real-time temperature data of multiple temperature sensors according to the collection time, and filter and amplify the first real-time temperature data, and convert the first real-time temperature data transmitted to the PLC controller.

In one embodiment, the step S3 of calculating temperature deviation and deviation rate of change according to the first real-time temperature data and the first preset temperature data includes:

S31. Calculate the temperature deviation according to the first real-time temperature data and the first preset temperature data, wherein the calculation formula is:

P(n)=W(n)-W ₀ ;

Wherein, P(n) represents the temperature deviation collected for the nth time, W(n) represents the first real-time temperature data collected for the nth time, and W ₀ represents the first preset temperature data;

S32. Calculate the temperature deviation rate according to the temperature deviation, wherein the calculation formula is:

PC(n)=P(n)-P(n-1);

Among them, PC(n) represents the temperature deviation rate, and P(n-1) represents the temperature deviation collected for the n-1th time.

As described in the above steps S31-S32, during the operation of the injection molding machine, by continuously detecting the temperature deviation between the first real-time temperature data and the first preset temperature data, the temperature difference deviation rate can be calculated according to the temperature deviation, which is convenient In the later stage, the fuzzy reasoning calculation is performed according to the temperature deviation and temperature deviation rate, so that the temperature parameters of the PID controller can be flexibly adjusted to improve the accuracy of the heating temperature.

In one embodiment, the step S4 of obtaining the second real-time temperature data by adjusting the real-time temperature of the barrel according to the temperature deviation and the deviation change rate includes:

S41. Perform fuzzification on the temperature deviation and deviation change rate collected for the nth time based on a fuzzification algorithm, and obtain a fuzzy temperature deviation and a fuzzy deviation change rate;

S42. Input the fuzzy temperature deviation and the rate of change of the fuzzy deviation into the PID controller as input variables;

S43. The PID controller determines the fuzzy basic domain of discourse, quantization domain of discourse, and quantization factor parameters based on the input variables;

S44. The PID controller obtains fuzzy rules based on the basic domain of discourse, quantized domain of discourse, and quantitative factor parameters, and outputs a fuzzy lookup table based on the fuzzy rules, wherein the fuzzy parameter lookup table includes values corresponding to different fuzzy temperature deviations and fuzzy deviation change rates adjustment value;

S45. Adjust the real-time temperature of the barrel based on adjustment values corresponding to different fuzzy temperature deviations and fuzzy deviation change rates to obtain second real-time temperature data.

As described in the above steps S41-S45, in the prior art, when performing temperature control and adjustment on the temperature of the barrel, it is usually based on the deviation between the actual temperature and the given temperature, and the deviation is used as the input of the PID controller, and the PID controller performs Proportional, integral, and differential adjustments output an adjustment signal to the deviation, but this method has hysteresis and coupling, and cannot quickly and accurately achieve the effect of accurately adjusting the temperature. Therefore, when the application performs temperature adjustment, it will be blurred The temperature deviation and the fuzzy deviation change rate are input into the PID controller as input variables, and the fuzzy rules are obtained based on the basic discourse domain, quantization discourse domain and quantization factor parameters, and the fuzzy query table is output based on the fuzzy rules, and based on different fuzzy temperature deviation and fuzzy The adjustment value corresponding to the deviation change rate adjusts the real-time temperature of the barrel to obtain the second real-time temperature data. In this way, the proportion, integral, and differential of the PID controller can be adjusted online to adjust the temperature of the barrel in real time. Avoid hysteresis and coupling, so that while improving the accuracy of temperature adjustment, it can also ensure the stability of the system, prevent overshoot, and reduce oscillation.

In one embodiment, after the step S4 of obtaining the second real-time temperature data by adjusting the real-time temperature of the barrel according to the temperature deviation and the deviation change rate, the method further includes:

S401. Output a PWM pulse width modulation signal according to the second real-time temperature data;

S402. Control whether the heating coil of the barrel is heated according to the PWM pulse width modulation signal.

As described in the above steps S401-S402, by outputting PWM pulse width modulation signals, the on-off of the heating coil on the heating device can be controlled, so that the closed-loop control of the barrel temperature can be eliminated, and the manufacturing level of the injection molding machine can be improved.

In one embodiment, the intelligent injection molding production control method further includes:

S91. Obtain the armature current vector when the permanent magnet synchronous motor is running;

S92. Obtain the magnetic flux flux linkage component when the permanent magnet synchronous motor is running;

S93. Obtain the inductance component of the stator winding and the equivalent flux linkage generated by the rotor magnetic field to the three-phase winding;

S94. Obtaining the mechanical angular velocity of the permanent magnet synchronous motor;

S95. Calculate the direct-axis voltage and the quadrature-axis voltage of the permanent magnet synchronous motor based on the armature current vector, flux flux linkage component, inductance component and equivalent flux linkage, wherein the calculation formula is:

Among them, U _d represents the direct-axis voltage, U _q represents the quadrature-axis voltage, ω _r is the mechanical angular velocity of the permanent magnet synchronous motor, l _q is the inductance component of the stator winding, φ _d is the magnetic flux flux linkage component, and i _q is the current The armature current component of , φ _f is the equivalent flux linkage generated by the rotor magnetic field to the three-phase winding;

S96. Inputting the direct-axis voltage and the quadrature-axis voltage into the stator of the permanent magnet synchronous motor, so that the permanent magnet synchronous motor operates according to a preset rotational speed and torque.

As described in the above steps S91-S96, this embodiment uses a permanent magnet synchronous motor, and replaces the electric excitation system in the electric excitation three-phase synchronous motor with permanent magnets. Since the permanent magnet synchronous motor has no rotor current and reactive excitation current, so The loss of the rotor and the stator can be reduced, and the power factor can be improved at the same time. And because the permanent magnet synchronous motor has no excitation winding, brush and collector ring, the motor structure is also more simplified; because the control effect of the permanent magnet synchronous motor directly affects the response speed and accuracy of the entire injection molding machine system, it has a great impact on the entire injection molding machine. The quality of the process and plastic products is very important. Based on this, this embodiment can make the permanent magnet synchronous motor run based on the preset speed and torque by calculating its direct-axis voltage and quadrature-axis voltage, and improve the performance of the permanent magnet synchronous motor. Control the effect, thereby improving the response speed and precision of the injection molding machine.

The present application also provides an intelligent injection molding production control device, including:

The sensor module 1 is used to collect mold cavity pressure data;

The temperature inspection instrument module 2 is used to collect the first real-time temperature data of the barrel;

The PID controller module 3 is used to obtain the first preset temperature data, and calculate the temperature deviation and the deviation change rate according to the first real-time temperature data and the first preset temperature data;

It is also used to adjust the real-time temperature of the barrel according to the temperature deviation and the deviation change rate to obtain second real-time temperature data;

The PLC controller is also used to obtain pressure data and judge whether the pressure data exceeds a preset pressure range;

If the pressure data exceeds the preset pressure range, the PLC controller stops the system operation;

The PLC controller is also used to acquire second real-time temperature data, and determine whether the second real-time temperature data exceeds a preset temperature range;

If the second real-time temperature data exceeds a preset temperature range, the PLC controller stops system operation.

In one embodiment, the sensor module 1 includes:

The acquisition unit is used to acquire the current analog quantity and perform A/D conversion on the current analog quantity;

a judging unit for judging whether the A/D conversion is completed;

The opening unit is used to open the analog channel if the A/D conversion is completed;

The obtaining unit is used to obtain the analog channel address;

The storage unit is used to read the pressure data and displacement data based on the analog channel address, and store the pressure data and displacement data in the PLC register.

In one embodiment, the temperature patrol instrument module 2 includes:

A segmentation unit is used to segment the barrel according to a preset value to obtain a multi-segment barrel;

The fixing unit is used to fix the heating device on each section of the barrel, so that the heating device can heat each section of the barrel separately;

a first acquisition unit, configured to acquire a preset acquisition time;

The collection unit is used to separately collect the first real-time temperature data of each section of barrel according to the preset collection time.

In one embodiment, the PID controller module 3 includes:

The first calculation unit is used to calculate the temperature deviation according to the first real-time temperature data and the first preset temperature data, wherein the calculation formula is:

P(n)=W(n)-W ₀ ;

Wherein, P(n) represents the temperature deviation collected for the nth time, W(n) represents the first real-time temperature data collected for the nth time, and W0 represents the first preset temperature data;

The second calculation unit is used to calculate the temperature deviation rate according to the temperature deviation, wherein the calculation formula is:

PC(n)=P(n)-P(n-1);

Among them, PC(n) represents the temperature deviation rate, and P(n-1) represents the temperature deviation collected for the n-1th time.

In one embodiment, the PID controller module 3 also includes:

The fuzzy unit is used to fuzzify the temperature deviation and the rate of change of the deviation collected for the nth time based on the fuzzy algorithm, and obtain the fuzzy temperature deviation and the rate of change of the fuzzy deviation after the fuzzification;

The input unit is used for inputting the fuzzy temperature deviation and the rate of change of the fuzzy deviation into the PID controller as input variables;

A determining unit is used for the PID controller to determine the fuzzy basic domain of discourse, quantization domain of discourse and quantization factor parameters based on the input variables;

The second acquisition unit is used for the PID controller to acquire fuzzy rules based on the basic domain of discourse, quantitative domain of discourse and quantization factor parameters, and output a fuzzy lookup table based on the fuzzy rules, wherein the fuzzy parameter lookup table includes different fuzzy temperature deviations and fuzzy deviations The adjustment value corresponding to the rate of change;

The adjustment unit is configured to adjust the real-time temperature of the barrel based on adjustment values corresponding to different fuzzy temperature deviations and fuzzy deviation change rates, to obtain second real-time temperature data.

In one embodiment, the intelligent injection molding production control device further includes:

A digital output module, for outputting a PWM pulse width modulation signal according to the second real-time temperature data;

The control module is used to control whether the heating coil of the barrel is heated according to the PWM pulse width modulation signal.

In one embodiment, the intelligent injection molding production control device further includes:

The first obtaining module is used to obtain the armature current vector when the permanent magnet synchronous motor is running;

The second acquisition module is used to acquire the magnetic flux flux linkage component of the permanent magnet synchronous motor;

The third acquisition module is used to acquire the inductance component of the stator winding and the equivalent flux linkage generated by the rotor magnetic field to the three-phase winding;

The fourth acquisition module is used to acquire the mechanical angular velocity of the permanent magnet synchronous motor;

The voltage calculation module is used to calculate the direct-axis voltage and quadrature-axis voltage of the permanent magnet synchronous motor based on the armature current vector, flux flux linkage component, inductance component and equivalent flux linkage, wherein the calculation formula is:

Among them, U _d represents the direct-axis voltage, U _q represents the quadrature-axis voltage, ω _r is the mechanical angular velocity of the permanent magnet synchronous motor, l _q is the inductance component of the stator winding, φ _d is the magnetic flux flux linkage component, and i _q is the current The armature current component of , φ _f is the equivalent flux linkage generated by the rotor magnetic field to the three-phase winding;

The input module is used to input the direct-axis voltage and the quadrature-axis voltage into the stator of the permanent magnet synchronous motor, so that the permanent magnet synchronous motor operates according to the preset speed and torque.

The above-mentioned modules and units are used to correspondingly execute each step in the above-mentioned intelligent injection molding production control method, and its specific implementation method refers to the description in the above-mentioned method embodiment, and will not be repeated here.

It should be noted that, in this document, the terms "comprising", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion such that a process, apparatus, article or method comprising a set of elements includes not only those elements, It also includes other elements that are not expressly listed, or that are inherent in the process, apparatus, article, or method. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional same elements in the process, apparatus, article or method comprising the element.

The above are only preferred embodiments of the application, and are not intended to limit the patent scope of the application. Any equivalent structure or equivalent process conversion made by using the specification and drawings of the application, or directly or indirectly used in other related All technical fields are equally included in the patent protection scope of the present application.

Claims (8)

1. An intelligent injection molding production control method is characterized by comprising the following steps:

a sensor collects die cavity pressure data;

the temperature patrol instrument acquires first real-time temperature data of the charging barrel;

the PID controller acquires first preset temperature data, and calculates temperature deviation and deviation change rate according to the first real-time temperature data and the first preset temperature data;

adjusting the real-time temperature of the charging barrel according to the temperature deviation and the deviation change rate to obtain second real-time temperature data;

the PLC acquires pressure data and judges whether the pressure data exceeds a preset pressure range;

if the pressure data exceeds a preset pressure range, the PLC stops the system operation;

the PLC acquires second real-time temperature data and judges whether the second real-time temperature data exceeds a preset temperature range;

and if the second real-time temperature data exceeds a preset temperature range, the PLC stops the system operation.

2. The intelligent injection molding production control method of claim 1, wherein the step of the sensor acquiring mold cavity pressure data comprises:

collecting current analog quantity, and carrying out A/D conversion on the current analog quantity;

judging whether the A/D conversion is finished;

if the A/D conversion is finished, an analog channel is opened;

obtaining an analog quantity channel address;

the sensor reads the pressure data and the displacement data based on the analog channel address, and stores the pressure data and the displacement data in the PLC register.

3. The intelligent injection molding production control method according to claim 1, wherein the step of acquiring the first real-time temperature data of the charging barrel by the temperature patrol instrument comprises the following steps:

segmenting the charging barrel according to preset values to obtain a plurality of sections of charging barrels;

fixing a heating device on each section of the charging barrel, so that the heating device can independently heat each section of the charging barrel;

acquiring preset acquisition time;

and respectively acquiring first real-time temperature data of each section of the charging barrel according to preset acquisition time.

4. The intelligent injection molding production control method according to claim 1, wherein the step of calculating the temperature deviation and the deviation change rate according to the first real-time temperature data and the first preset temperature data comprises:

calculating temperature deviation according to the first real-time temperature data and the first preset temperature data, wherein the calculation formula is as follows:

P(n)＝W(n)-W ₀ ；

wherein P (n) represents the temperature deviation of the nth acquisition, W (n) represents the first real-time temperature data of the nth acquisition,

W ₀ representing first preset temperature data;

and calculating a temperature deviation ratio according to the temperature deviation, wherein the calculation formula is as follows:

PC(n)＝P(n)-P(n-1)；

wherein PC (n) represents the temperature deviation rate, and P (n-1) represents the temperature deviation of the (n-1) th acquisition.

5. The intelligent injection molding production control method according to claim 1, wherein the step of adjusting the real-time temperature of the charging barrel according to the temperature deviation and the deviation change rate to obtain second real-time temperature data comprises:

fuzzifying the temperature deviation and the deviation change rate acquired at the nth time based on a fuzzification algorithm to obtain fuzzified fuzzy temperature deviation and fuzzified deviation change rate;

inputting the fuzzy temperature deviation and the fuzzy deviation change rate as input variables into a PID controller;

the PID controller determines the fuzzified basic discourse domain, the fuzzified quantitative discourse domain and the fuzzified quantitative factor parameter based on the input variables;

the PID controller acquires a fuzzy rule based on a basic discourse domain, a quantitative discourse domain and a quantization factor parameter, and outputs a fuzzy lookup table based on the fuzzy rule, wherein the fuzzy parameter lookup table comprises adjustment values corresponding to different fuzzy temperature deviations and fuzzy deviation change rates;

and adjusting the real-time temperature of the charging barrel based on the adjustment values corresponding to different fuzzy temperature deviations and fuzzy deviation change rates to obtain second real-time temperature data.

6. The intelligent injection molding production control method according to claim 1, wherein after the step of adjusting the real-time temperature of the barrel according to the temperature deviation and the deviation change rate to obtain second real-time temperature data, the method further comprises:

outputting a PWM (pulse width modulation) signal according to the second real-time temperature data;

and controlling whether a heating coil of the charging barrel heats or not according to the PWM pulse width modulation signal.

7. The intelligent injection molding production control method according to claim 1, further comprising:

acquiring an armature current vector when the permanent magnet synchronous motor operates;

acquiring a flux linkage component when the permanent magnet synchronous motor runs;

obtaining an inductance component of a stator winding and an equivalent flux linkage generated by a rotor magnetic field to a three-phase winding;

acquiring the mechanical angular speed of the permanent magnet synchronous motor;

calculating direct-axis voltage and quadrature-axis voltage of the permanent magnet synchronous motor based on the armature current vector, the flux linkage component, the inductance component and the equivalent flux linkage, wherein the calculation formula is as follows:

wherein, U _d Representing the direct-axis voltage, U _q Representing quadrature voltage, ω _r Is the mechanical angular velocity of the PMSM,/ _q Is an inductive component of the stator winding, phi _d Is a flux linkage component, i _q Is the armature current component at that time, phi _f An equivalent flux linkage is generated for the rotor magnetic field to the three-phase winding;

and inputting the direct-axis voltage and the quadrature-axis voltage into a stator of the permanent magnet synchronous motor so that the permanent magnet synchronous motor operates according to preset rotating speed and torque.

8. The utility model provides an intelligent production controlling means that moulds plastics which characterized in that includes:

a sensor for acquiring die cavity pressure data;

the temperature polling instrument is used for acquiring first real-time temperature data of the charging barrel;

the PID controller is used for acquiring first preset temperature data and calculating temperature deviation and deviation change rate according to the first real-time temperature data and the first preset temperature data;

the temperature deviation and the deviation change rate are used for adjusting the real-time temperature of the charging barrel to obtain second real-time temperature data;

the PLC is also used for acquiring pressure data and judging whether the pressure data exceeds a preset pressure range;

if the pressure data exceeds a preset pressure range, the PLC stops the system operation;

the PLC is also used for acquiring second real-time temperature data and judging whether the second real-time temperature data exceeds a preset temperature range;

and if the second real-time temperature data exceeds a preset temperature range, the PLC stops the system operation.

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