A temperature field control method, controller, device and storage medium

Abstract

The application discloses a temperature field control method, a controller, a device and a storage medium. The method comprises the following steps: based on a heat balance relationship, using heat input data and heat output data of a temperature field system, a heat balance dynamic model is established; according to the heat balance dynamic model, real-time process actual values of each disturbance factor are identified and calculated to obtain a total disturbance amount; based on the total disturbance amount, an actual detection temperature and a preset temperature of the temperature field, a final control instruction is generated by using feedforward and feedback compound control, and the heating power is adjusted according to the final control instruction to control the temperature field. The method of the application realizes early perception and active compensation of the temperature field disturbance, can quickly offset the disturbance influence before the temperature deviation is generated, simultaneously performs accurate correction on the remaining slight temperature deviation, and finally makes the temperature field keep a fast and stable and high-precision running state.

Description

Technical Field

[0001] This application relates to the field of temperature control technology, and in particular to a temperature field control method, controller, device and storage medium. Background Technology

[0002] As industrial manufacturing and scientific research experiments continue to demand higher precision, the stability and uniformity of the temperature field directly affect product quality and data reliability. Therefore, it is essential to control the temperature field precisely to avoid production anomalies and result deviations caused by temperature fluctuations.

[0003] Traditional temperature field control methods mainly rely on temperature feedback from one or more temperature measuring points. By adjusting the heat power of the heater, the temperature field is gradually brought closer to the set temperature, thereby achieving the regulation and control of the temperature field.

[0004] However, existing temperature field control methods suffer from slow response, poor disturbance rejection, and inability to compensate for disturbances in advance, resulting in insufficient temperature field stability and low control accuracy. Summary of the Invention

[0005] To address the aforementioned issues, this application provides a temperature field control method, controller, device, and storage medium, with the aim of improving the stability and control accuracy of the temperature field.

[0006] The embodiments of this application disclose the following technical solutions: In a first aspect, this application provides a temperature field control method, comprising: Based on the heat balance relationship, a dynamic heat balance model is established using the heat input and heat output data of the temperature field system. Based on the aforementioned thermal balance dynamic model, the real-time actual values ​​of each disturbance factor are identified and calculated to obtain the total disturbance amount. Based on the total disturbance, the actual detected temperature of the temperature field, and the preset temperature, a final control command is generated using a combination of feedforward and feedback control. The heating power is then adjusted according to the final control command to control the temperature field.

[0007] Optionally, in the method described above, the step of identifying and calculating the real-time actual process values ​​of each disturbance factor based on the thermal balance dynamic model to obtain the total disturbance includes: The real-time actual process values ​​of each disturbance factor are averaged to obtain the stable actual process values ​​corresponding to each disturbance factor. Based on the deviation between the actual stable process value and the corresponding target value corresponding to each disturbance factor, the sub-disturbance amount corresponding to each disturbance factor is calculated respectively. The relative deviation of each sub-item disturbance is compared with the preset deviation threshold to determine the effective sub-item disturbance corresponding to each disturbance factor; The effective sub-perturbations corresponding to each perturbation factor are superimposed to obtain the total perturbation.

[0008] Optionally, in the method described above, the step of generating the final control command using a feedforward and feedback composite control based on the total disturbance, the actual detected temperature of the temperature field, and the preset temperature includes: The total disturbance is processed by feedforward control to generate a feedforward compensation control quantity; Feedback control is performed based on the deviation between the actual detected temperature and the preset temperature in the temperature field to generate a feedback control quantity. The feedforward compensation control quantity and the feedback control quantity are fused together to obtain the final control command.

[0009] Optionally, in the method described above, if the disturbance factors are, in order, changes in gas flow rate, changes in gas calorific value, changes in material heat release, changes in material weight, and changes in material moisture, then the target sub-item disturbance quantities corresponding to each disturbance factor are, in order, gas flow rate disturbance quantity, gas calorific value disturbance quantity, material heat release disturbance quantity, material weight disturbance quantity, and material moisture disturbance quantity. The step of performing feedforward control processing on the total disturbance to generate feedforward compensation control quantity includes: The gas flow rate disturbance and the gas calorific value disturbance are divided into instantaneous disturbance components, and the material heat release disturbance, the material weight disturbance, and the material humidity disturbance are divided into delayed disturbance components. The compensation power is directly calculated for the instantaneous disturbance component to obtain the instantaneous disturbance compensation amount; The disturbance delay duration is calculated based on the distance from the material inlet to the heating zone and the equipment operating speed. The delay compensation power is calculated for the delayed disturbance component according to the aforementioned disturbance delay duration to obtain the delay disturbance compensation amount; The feedforward compensation control quantity is obtained by superimposing the instantaneous compensation quantity and the delay compensation quantity.

[0010] Optionally, in the method described above, the step of generating a feedback control quantity by performing feedback control processing based on the deviation between the actual detected temperature and the preset temperature of the temperature field includes: The temperature deviation value is obtained by calculating the difference between the actual detected temperature and the preset temperature in the temperature field. The temperature deviation value is processed using closed-loop feedback regulation to obtain the initial feedback regulation amount; The initial feedback adjustment amount is smoothed and corrected to obtain the fine-tuned feedback adjustment amount; The fine-tuning feedback adjustment amount is determined as the feedback control amount used to compensate for the residual temperature deviation.

[0011] Optionally, in the method described above, the step of fusing the feedforward compensation control quantity and the feedback control quantity to obtain the final control command includes: Based on the feedforward compensation control quantity, the feedforward power adjustment quantity is calculated, and based on the feedback control quantity, the feedback power adjustment quantity is calculated. The feedforward power adjustment amount and the feedback power adjustment amount are superimposed to obtain the total power adjustment amount; Based on the total power adjustment, a corresponding heating control signal is generated to obtain the final control command.

[0012] Optionally, in the method described above, the establishment of a dynamic heat balance model based on the heat balance relationship and utilizing the heat input and heat output data of the temperature field system includes: Based on the obtained gas flow rate setpoint and gas calorific value setpoint, the heat generated by gas combustion is calculated; Based on the acquired material heat release parameters, the heat release of the material at high temperature is calculated, and the heat generated by the combustion of the gas is superimposed with the heat release of the material at high temperature to obtain heat input data; Based on the obtained dry material weight, specific heat capacity, and temperature difference, the amount of heat required to raise the temperature of the dry material is calculated. Based on the obtained water weight, specific heat capacity of water, heat of vaporization of water, and initial temperature of the material, the heat required for water evaporation in the material is calculated. The heat dissipation of the equipment is determined based on the historical average difference between the heat input data, the heat required for heating the dry material, and the heat required for evaporation of moisture in the material. A dynamic heat balance model is established based on the heat input data, the heat required for the dry material to heat up, the heat required for the evaporation of moisture in the material, and the heat dissipation of the equipment.

[0013] Secondly, this application provides a controller, including: The model building module is used to build a dynamic heat balance model based on the heat balance relationship and using the heat input and heat output data of the temperature field system. The disturbance identification module is used to identify and calculate the real-time actual values ​​of each disturbance factor based on the thermal balance dynamic model, and obtain the total disturbance amount. The temperature control module is used to generate a final control command based on the total disturbance, the actual detected temperature of the temperature field and the preset temperature, using a combination of feedforward and feedback control, and to adjust the heating power according to the final control command in order to control the temperature field.

[0014] Thirdly, this application provides an electronic device, the device including: a processor, and a memory communicatively connected to the processor; The memory stores instructions that the computer executes; The processor executes computer execution instructions stored in the memory to implement any of the temperature field control methods described in the above embodiments.

[0015] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement any of the temperature field control methods described in the above embodiments.

[0016] Compared with the prior art, this application has the following advantages: The method of this application first establishes a dynamic thermal balance model based on the thermal balance relationship, which can accurately characterize the heat transfer and distribution law of the temperature field and provide a reliable basis for disturbance identification. Then, based on the model, the real-time actual values ​​of each disturbance factor are identified and calculated, which can quickly and accurately obtain the total disturbance amount and realize the early detection of disturbance. By adopting feedforward and feedback composite control and adjusting the heating power, the influence of disturbance can be actively offset and the temperature deviation can be accurately corrected. Through the above steps, this application realizes the advanced adjustment and precise control of the temperature field, solves the core problems of existing temperature field control response lag and poor anti-disturbance ability, and significantly improves the control stability and control accuracy of the temperature field. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the structure of a temperature field system provided in an embodiment of this application; Figure 2 A schematic flowchart of a temperature field control method provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a controller provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with specific embodiments and accompanying drawings. It should be particularly noted that the embodiments described in this application are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0020] It should be noted that, unless otherwise defined, the technical or scientific terms used in the embodiments of this application should have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms "first," "second," and similar terms used in the embodiments of this application do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are only used to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0021] As described above, current temperature field control methods mostly rely on single-point or multi-point temperature feedback, approximating the set temperature by adjusting the heating power. These methods have significant drawbacks: First, they exhibit response lag, belonging to reactive control; by the time a deviation is detected, the disturbance has already occurred, easily leading to control overshoot or oscillation. Second, they are highly model-dependent; advanced algorithms require precise mathematical models, which are difficult and costly to model complex thermal systems. Third, they have poor disturbance resistance, failing to adapt quickly to sudden or time-varying disturbances, thus compromising temperature field stability. Fourth, they lack spatial uniformity; single-point control cannot guarantee uniform temperature across the entire area, and adding sensors is uneconomical, ultimately resulting in an unstable temperature field and large temperature deviations, failing to meet the needs of precision manufacturing, scientific experiments, and the metallurgical industry.

[0022] The inventors have proposed a temperature field control method, controller, device, and storage medium. By establishing a dynamic thermal balance model and performing real-time identification and calculation of various disturbance factors to obtain the total disturbance, and by using a combination of feedforward and feedback control to adjust the heating power, the invention achieves early perception and active compensation for temperature field disturbances. This effectively solves the problems of traditional control, such as lag response, strong model dependence, poor anti-disturbance ability, and insufficient spatial uniformity. It significantly improves the stability and control accuracy of the temperature field, meeting the requirements of uniform, stable, and high-precision temperature field control in precision manufacturing, scientific experiments, and metallurgical industries.

[0023] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0024] See Figure 1 This figure is a schematic diagram of the structure of a temperature field system provided in an embodiment of this application. Figure 1 As shown, the temperature field system includes a temperature field, a heat supply body, a heat absorber, a disturbance body, and a controller. The heat supply body provides the heat source for the temperature field and can be electrically heated or heated using solid, gaseous, or liquid fuels. The heating point is determined based on the scale of the temperature field and the production process. The heat absorber is the object being heated, including gas, solid, or liquid. The heat absorption process is divided into static heating and dynamic heating. Static heating is intermittent heating, where the object is placed in the heating body and the door is closed before heating to the target temperature. Dynamic heating involves the object being heated passing through the heating body at a certain speed with no doors in front or behind. The disturbance body is the heat source from the heat supply body. The data fluctuations of the heat source and the heat absorber, or special actions such as opening and closing doors and backflushing, specifically include changes in the initial temperature, humidity, weight, and composition of the heat absorber, as well as changes in the calorific value and power factor of the heat source. The temperature field is equipped with temperature detection devices. For example, a type K thermocouple can be used for temperatures below 1100℃, a type S thermocouple can be used for temperatures between 1100℃ and 1300℃, and a type B thermocouple can be used for temperatures above 1300℃. The number and location of temperature detection elements are determined according to the actual heating scenario and production heating process. The controller can be a programmable logic controller (PLC) or a distributed control system (DCS) to collect data from all detection points and control points of the system and to implement any of the temperature field control methods in the embodiments of this application.

[0025] Referring to Figure 2, this figure is a schematic flowchart of a temperature field control method provided in an embodiment of this application. The method includes: S201: Based on the heat balance relationship, a dynamic heat balance model is established using the heat input and heat output data of the temperature field system.

[0026] In this embodiment, based on the heat balance relationship, after processing all heat input data and all heat output data, the heat input data and heat output data are substituted into the calculation according to the constraint rules corresponding to the heat balance relationship to establish a dynamic heat balance model.

[0027] Furthermore, based on the above embodiments, a specific implementation of "establishing a dynamic thermal balance model based on the heat balance relationship and utilizing the heat input and heat output data of the temperature field system" in S201 may include the following steps: Based on the obtained gas flow rate setpoint and gas calorific value setpoint, the heat generated by gas combustion is calculated; based on the obtained material heat release parameters, the heat released by the material at high temperature is calculated, and the heat generated by gas combustion is superimposed with the heat released by the material at high temperature to obtain heat input data; based on the obtained dry material weight, material specific heat capacity, and material temperature difference, the heat required for the dry material to heat up is calculated; based on the obtained moisture weight, water specific heat capacity, water heat of vaporization, and initial material temperature, the heat required for moisture evaporation in the material is calculated; based on the historical average difference between the heat input data, the heat required for the dry material to heat up, and the heat required for moisture evaporation in the material, the equipment heat dissipation is determined; based on the heat input data, the heat required for the dry material to heat up, the heat required for moisture evaporation in the material, and the equipment heat dissipation, a dynamic heat balance model is established.

[0028] In this embodiment, based on the acquired gas flow rate setpoint and gas calorific value setpoint, the heat generated by gas combustion, Q1, is calculated according to the formula Q1 = gas flow rate setpoint × gas calorific value setpoint. Based on the acquired material heat release parameters, the heat released by the material at high temperature, Q2, is calculated according to the formula Q2 = TFO amount × heat release coefficient. Here, TFO amount is the thermal fuel output (TFO), which refers to the heat released by the material itself at high temperatures and is an important component of the heat input in the temperature field system. The heat generated by gas combustion, Q1, is superimposed with the heat released by the material at high temperature, Q2, to obtain the heat input data, i.e., heat input data = Q1 + Q2. The gas flow rate setpoint is determined based on the gas consumption per ton of mineral in the design or production report; the gas calorific value setpoint is determined based on the design or actual measured gas calorific value; the TFO amount is the value at the design time or the actual measured value; and the heat release coefficient is a constant.

[0029] Based on the obtained dry material weight, specific heat capacity, and temperature difference, the heat required for the dry material to heat up (Q3) is calculated using the formula Q3 = dry material weight × specific heat capacity × temperature difference. Based on the obtained moisture weight, specific heat capacity of water, heat of vaporization of water, and initial material temperature, the heat required for moisture evaporation (Q4) is calculated using the formula Q4 = moisture weight × ((100 - initial material temperature) × specific heat capacity of water + heat of vaporization of water). Finally, based on the historical average difference between the heat input data Q1 + Q2, the heat required for the dry material to heat up (Q3), and the heat required for moisture evaporation (Q4), the heat dissipation of the equipment (Q5) is determined. =Take the average value of (Q1+Q2-Q3-Q4) over a period of time; for example, the average value of the differences over the first three days can be taken as Q5; Finally, based on the heat input data Q1+Q2, the heat required for the dry material to heat up Q3, the heat required for the evaporation of moisture in the material Q4, and the heat dissipation of the equipment Q5, establish a dynamic heat balance model according to the heat balance formula Q1+Q2-Q3-Q4-Q5=0. In the above formula, the material weight and moisture value are set values, determined according to design or actual measurement. The temperature difference is the target temperature minus the initial material temperature; since the initial temperature does not change significantly, it can be set as a constant.

[0030] In this embodiment, by comprehensively calculating various heat inputs, material heat absorption losses, and equipment heat dissipation losses in the temperature field system, the heat balance relationship of the temperature field system is quantified in all aspects. A dynamic thermal balance model that fits the actual working conditions is accurately constructed, reducing model dependence and providing a solid theoretical foundation and model support that fits the actual working conditions for subsequent accurate identification and quantitative compensation of disturbances.

[0031] S202: Based on the thermal balance dynamic model, the real-time actual values ​​of each disturbance factor are identified and calculated to obtain the total disturbance amount.

[0032] In this embodiment, based on the thermal balance dynamic model, the real-time actual values ​​of each disturbance factor are collected, and the actual values ​​of each disturbance factor are calculated one by one to obtain the total disturbance amount.

[0033] Furthermore, based on the above embodiments, a specific implementation of S202, "identifying and calculating the real-time actual process values ​​of each disturbance factor according to the thermal balance dynamic model to obtain the total disturbance amount," may include the following steps: The real-time actual process values ​​of each disturbance factor are averaged to obtain the stable actual process value corresponding to each disturbance factor. Based on the deviation between the stable actual process value and the corresponding target value, the sub-disturbance amount corresponding to each disturbance factor is calculated. The relative deviation of each sub-disturbance amount is judged against the preset deviation threshold to determine the effective sub-disturbance amount corresponding to each disturbance factor. The effective sub-disturbance amounts corresponding to each disturbance factor are superimposed to obtain the total disturbance amount.

[0034] In this embodiment, for example, the real-time process values ​​of gas flow rate, gas calorific value, material high-temperature calorific value (TFO), material weight, and material moisture are averaged over a period of 3 to 5 minutes to filter out sawtooth fluctuations, thereby obtaining the stable process values ​​corresponding to each disturbance factor. For example, the stable process value corresponding to gas flow rate is the actual flow rate; the stable process value corresponding to gas calorific value is the actual calorific value; the stable process value corresponding to material high-temperature calorific value (TFO) is the actual TFO; the stable process value corresponding to material weight is the actual weight; and the stable process value corresponding to material moisture is the actual moisture.

[0035] Based on the deviation between the actual stable process value and the corresponding target value for each disturbance factor, the disturbance amount for each component is calculated. Specifically, the disturbance amount for gas flow rate change is p1 = Q1 × (actual flow rate - target flow rate) / target flow rate; the disturbance amount for gas calorific value change is p2 = Q1 × (actual calorific value - target calorific value) / target calorific value; and the disturbance amount for material high-temperature heat release change is p3 = Q2 × (actual TFO amount - target TFO amount) / The target TFO amount is calculated as follows: material weight change disturbance p4 = Q3 × (actual weight - target weight) / target weight; material humidity change disturbance p5 = Q4 × (actual humidity - target humidity) / target humidity. The relative deviation of each disturbance is compared with a preset deviation threshold of 1%. When |actual value - target value| / target value < 1%, the corresponding disturbance is recorded as 0. When |actual value - target value| / target value > 1%, the corresponding calculated value is retained. The effective disturbance amounts corresponding to each disturbance factor are determined. The effective disturbance amounts corresponding to each disturbance factor are then superimposed, and the total disturbance amount is obtained according to the formula p = p1 + p2 + p3 + p4 + p5.

[0036] It can be understood that this embodiment lists five disturbance factors that have a significant impact on the heating effect. In specific applications, these factors can be added or removed depending on different scenarios and detection conditions.

[0037] In this embodiment, the real-time actual process values ​​of each disturbance factor are averaged to obtain the stable actual process value corresponding to each disturbance factor. Based on the deviation between the stable actual process value and the corresponding target value, the sub-disturbance quantity corresponding to each disturbance factor is calculated. The relative deviation of each sub-disturbance quantity is judged against a preset deviation threshold to determine the effective sub-disturbance quantity corresponding to each disturbance factor. The effective sub-disturbance quantities corresponding to each disturbance factor are superimposed to obtain the total disturbance quantity. By averaging the measured data of disturbance factors, calculating the sub-deviations, and filtering the thresholds, instantaneous process clutter interference can be eliminated, effective disturbance items can be accurately screened, and the total disturbance quantity can be obtained. This improves the accuracy and reliability of disturbance identification and provides reliable data support for subsequent precise compensation control.

[0038] S203: Based on the total disturbance, the actual detected temperature of the temperature field, and the preset temperature, a final control command is generated using a combination of feedforward and feedback control. The heating power is then adjusted according to the final control command to control the temperature field.

[0039] In this embodiment, the total disturbance calculated is retrieved, the actual temperature of the temperature field is collected in real time, the preset temperature is retrieved, and the feedforward control logic and feedback control logic are combined to generate the final control command using a composite control method that combines feedforward and feedback. The heating power of the equipment is adjusted in real time according to the final control command, thereby completing the operation regulation of the temperature field.

[0040] In this embodiment, a dynamic thermal balance model is first established based on the thermal balance relationship, which can accurately depict the heat transfer and distribution law of the temperature field and provide a reliable basis for disturbance identification. Then, the real-time process actual values ​​of each disturbance factor are identified and calculated according to the model, which can quickly and accurately obtain the total disturbance amount and realize the early perception of disturbance. By adopting feedforward and feedback composite control and adjusting the heating power, the influence of disturbance can be actively offset and the temperature deviation can be accurately corrected. Through the above steps, this application realizes the advanced adjustment and precise control of the temperature field, solves the core problems of existing temperature field control response lag and poor anti-disturbance ability, and significantly improves the control stability and control accuracy of the temperature field.

[0041] Furthermore, based on the above embodiments, a specific implementation of S203, "generating the final control command using a combination of feedforward and feedback control based on the total disturbance, the actual detected temperature of the temperature field, and the preset temperature," may include the following steps: The total disturbance is processed by feedforward control to generate feedforward compensation control quantity; feedback control is processed based on the deviation between the actual detected temperature and the preset temperature in the temperature field to generate feedback control quantity; the feedforward compensation control quantity and the feedback control quantity are fused to obtain the final control command.

[0042] In this embodiment, feedforward control processing is first performed based on the total disturbance amount. The disturbance type is distinguished into instantaneous disturbance and delayed disturbance, and the compensation amount is calculated separately. The two are then superimposed to obtain the feedforward compensation control amount, so as to realize the early active compensation of the disturbance. Next, closed-loop feedback adjustment processing is performed based on the difference between the actual detected temperature and the preset temperature in the temperature field. The remaining temperature deviation is smoothed and corrected to generate a feedback control amount for fine-tuning. Finally, the feedforward compensation control amount and the feedback control amount are superimposed and fused to obtain the total power adjustment amount according to the preset power calculation formula. Based on this, the corresponding heating control signal is generated, and finally, the final control command for adjusting the heating power is formed.

[0043] Among them, feedforward control is used to actively compensate for the total disturbance, and feedback control is used to accurately correct the residual temperature deviation. The combination of the two forms a feedforward-feedback composite control, which can significantly reduce overshoot and oscillation and improve the stability of the temperature field.

[0044] In this embodiment, the total disturbance is processed by feedforward control to generate a feedforward compensation control quantity; feedback control is processed based on the deviation between the actual detected temperature and the preset temperature of the temperature field to generate a feedback control quantity; the feedforward compensation control quantity and the feedback control quantity are fused to obtain the final control command. Thus, by combining feedforward disturbance advance compensation and temperature deviation closed-loop feedback correction, the organic combination of disturbance prediction adjustment and precise temperature error correction is achieved, making up for the defects of a single control method, effectively suppressing temperature fluctuations and control overshoot, and significantly improving the response speed, anti-disturbance capability and overall control accuracy of the temperature field control.

[0045] As an achievable approach, if the disturbance factors are, in order, changes in gas flow rate, changes in gas calorific value, changes in material heat release, changes in material weight, and changes in material moisture, then the target sub-item disturbance quantities corresponding to each disturbance factor are, in order, gas flow rate disturbance quantity, gas calorific value disturbance quantity, material heat release disturbance quantity, material weight disturbance quantity, and material moisture disturbance quantity.

[0046] One specific implementation of "performing feedforward control processing on the total disturbance to generate feedforward compensation control quantity" may include the following steps: The gas flow rate disturbance and the gas calorific value disturbance are classified as instantaneous disturbance components, while the material heat release disturbance, material weight disturbance, and material moisture disturbance are classified as delayed disturbance components. The compensation power of the instantaneous disturbance components is directly calculated to obtain the instantaneous disturbance compensation amount. The disturbance delay time is calculated based on the distance from the material inlet to the heating zone and the equipment operating speed. The delay compensation power of the delayed disturbance components is calculated according to the disturbance delay time to obtain the delayed disturbance compensation amount. The instantaneous compensation amount and the delayed compensation amount are superimposed to obtain the feedforward compensation control amount.

[0047] Among them, the instantaneous disturbance component has no control delay, and compensation is performed immediately upon detection of the disturbance; the delayed disturbance component needs to wait for a delay time t before compensation is performed.

[0048] In this embodiment, firstly, the gas flow rate disturbance p1 and the gas calorific value disturbance p2 are divided into instantaneous disturbance components. These disturbances directly affect the heat input of the temperature field and can take effect without delay. The material heat release disturbance p3, the material weight disturbance p4, and the material humidity disturbance p5 are divided into delayed disturbance components. These disturbances need to be transferred to the heating area with the material before they can affect the temperature field, and there is a certain time delay.

[0049] Secondly, before calculating the compensation power, it is first determined whether the total disturbance p is greater than 1. If the total disturbance p is not greater than 1, then feedforward control does not need to be executed. If the total disturbance p is greater than 1, then it is further determined whether each sub-disturbance p1~p5 is greater than 1. If a certain sub-disturbance is greater than 1, then feedforward control is executed according to the corresponding rule. If multiple disturbances meet the conditions at the same time, then feedforward control is triggered by superposition. For the instantaneous disturbance components p1 and p2 that meet the conditions, the compensation power is directly calculated using the preset power change formula. The specific formula is: power change = k×p×rated power ÷ (Q3+Q4+Q5-Q2)+C; where the rated power is the set value of the gas in this embodiment, k is the proportional coefficient, which is 1 by default, and C is the power compensation factor, which is 0 by default. The instantaneous disturbance compensation amount is calculated by this formula, and the controller immediately and actively increases or decreases the power to achieve rapid cancellation of instantaneous disturbances and avoid temperature field fluctuations caused by instantaneous disturbances.

[0050] Then, based on the relevant parameters of material transport, the disturbance delay time is calculated. The specific formula is: disturbance delay time t = distance from material inlet to heating area ÷ equipment operating speed. For static heating devices, t is 0. The duration of the delay disturbance components p3, p4, and p5 is determined by this formula.

[0051] Next, for the delayed disturbance components p3, p4, and p5 that meet the conditions, a delayed trigger compensation mode is implemented according to the disturbance delay time t calculated above. Similarly, the delayed disturbance compensation amount is calculated using the formula: Power Change = k × p × Rated Power ÷ (Q3 + Q4 + Q5 - Q2) + C. This ensures that the compensation timing is consistent with the actual time the delayed disturbance acts on the temperature field. After the delay time t, the controller actively increases or decreases the power; in this embodiment, this means changing the gas flow rate to offset the impact of the delayed disturbance. Finally, the instantaneous disturbance compensation amount and the delayed disturbance compensation amount are superimposed to obtain the total feedforward compensation control amount.

[0052] It can be understood that the above-mentioned feedforward compensation control quantity can be directly used to offset the influence of various disturbances on the temperature field, providing a guarantee for the stable operation of the temperature field. At the same time, the compensation process is monitored in real time to ensure that the compensation accuracy meets the preset standard and avoid temperature field fluctuations due to insufficient or excessive compensation. The entire feedforward control process is an event-triggered mode, that is, the system will execute control according to the above formula and rules only when the above-mentioned disturbance judgment conditions are met.

[0053] In the above embodiments, the gas flow rate disturbance and the gas calorific value disturbance are divided into instantaneous disturbance components, and the material heat release disturbance, material weight disturbance, and material humidity disturbance are divided into delayed disturbance components. The compensation power of the instantaneous disturbance components is directly calculated to obtain the instantaneous disturbance compensation amount. The disturbance delay duration is calculated based on the distance from the material inlet to the heating zone and the equipment operating speed. The delay compensation power of the delayed disturbance components is calculated according to the disturbance delay duration to obtain the delayed disturbance compensation amount. The instantaneous compensation amount and the delayed compensation amount are superimposed to obtain the feedforward compensation control amount. Thus, by dividing the instantaneous disturbance components and the delayed disturbance components and compensating them differently in different time periods, it is possible to respond quickly to and correct instantaneous heat disturbances in real time, and to match the material transmission sequence to achieve accurate delayed disturbance compensation, avoiding misalignment of compensation timing. The superposition and fusion of the two can comprehensively offset the temperature interference caused by different types of disturbances, effectively improving the timeliness, matching and overall stability of temperature field control.

[0054] One specific implementation of "generating a feedback control quantity by performing feedback control processing based on the deviation between the actual detected temperature and the preset temperature in the temperature field" may include the following steps: The temperature deviation value is obtained by calculating the difference between the actual detected temperature and the preset temperature in the temperature field. The temperature deviation value is then processed by closed-loop feedback regulation to obtain the initial feedback regulation amount. The initial feedback regulation amount is then smoothed to obtain the fine-tuning feedback regulation amount. The fine-tuning feedback regulation amount is then determined as the feedback control amount used to compensate for the remaining temperature deviation.

[0055] In this embodiment, for example, the actual detected temperature T of the temperature field is acquired in real time, and a preset temperature T0 is retrieved. The temperature deviation value ΔT is calculated using the formula ΔT=T-T0. A positive ΔT indicates that the actual temperature is higher than the preset temperature, and a negative ΔT indicates that the actual temperature is lower than the preset temperature. This temperature deviation value is processed using closed-loop feedback regulation. The closed-loop feedback regulation can be implemented using proportional-integral-derivative control (PID control) or fuzzy control. Since feedforward control has already offset most disturbances, this adjustment only targets small temperature deviations. The temperature deviation value ΔT is substituted into the calculation to obtain the initial feedback regulation amount. The initial feedback regulation amount is then smoothed to avoid overshooting or oscillation in the temperature field due to excessively drastic feedback regulation. A gradual fine-tuning method is used to buffer and correct the initial feedback regulation amount, reducing regulation fluctuations, resulting in the fine-tuned feedback regulation amount. Finally, the fine-tuned feedback regulation amount is determined as the feedback control amount used to compensate for the remaining temperature deviation. This feedback control amount is only used to correct the small temperature deviation remaining after feedforward compensation, ensuring that the temperature field accurately approximates the preset temperature, further improving the stability and control accuracy of the temperature field.

[0056] It should be noted that the above feedback control method is only a specific implementation example and not the only implementation path. In practical applications, other reasonable feedback control methods can be adopted to obtain feedback control quantities according to actual needs, equipment conditions and process requirements, so as to meet the temperature control needs in different scenarios and further improve the flexibility and accuracy of temperature field control.

[0057] One specific implementation of "fusing the feedforward compensation control quantity and the feedback control quantity to obtain the final control command" may include the following steps: Based on the feedforward compensation control quantity, the feedforward power adjustment quantity is calculated, and based on the feedback control quantity, the feedback power adjustment quantity is calculated. The feedforward power adjustment quantity and the feedback power adjustment quantity are superimposed to obtain the total power adjustment quantity. The corresponding heating control signal is generated according to the total power adjustment quantity to obtain the final control command.

[0058] In this embodiment, firstly, based on the feedforward compensation control quantity calculated from the total disturbance, and combined with a preset power adjustment coefficient, the feedforward power adjustment quantity is calculated, i.e., feedforward power adjustment quantity = feedforward compensation control quantity × power adjustment coefficient. Simultaneously, based on the difference between the actual detected temperature and the preset temperature in the temperature field, the feedback power adjustment quantity is calculated, i.e., feedback power adjustment quantity = temperature deviation × feedback adjustment coefficient. Then, the feedforward power adjustment quantity and the feedback power adjustment quantity are superimposed to obtain the total power adjustment quantity. Next, combined with the power compensation requirement corresponding to the total disturbance, the specific values ​​of the feedforward power adjustment quantity and the feedback power adjustment quantity are calculated. Based on this, the feedforward power adjustment quantity is calculated based on the feedforward compensation control quantity, and the feedback power adjustment quantity is generated based on the feedback control. The two are then merged to obtain the total power adjustment quantity. Finally, a corresponding heating control signal, i.e., the final control command, is generated based on the total power adjustment. This command is directly used to adjust the power output of the heating equipment to achieve precise control of the temperature field and ensure that the temperature field is stable within the preset range. At the same time, combined with the core requirement of feedforward control in the technical briefing, this fusion method effectively offsets the temperature fluctuations caused by various disturbances and ensures the stability of the temperature field.

[0059] As an achievable approach, this embodiment also includes a model parameter adaptive update step: to adapt to changes in the system's long-term operating conditions, a slow adaptive loop is set up, and the proportional coefficient k and power compensation factor C of the model parameters are fine-tuned online based on historical operating data to maintain the accuracy of the thermal balance dynamic model; specifically, the fine-tuning method can be to judge based on the trend of the deviation between the historical temperature target value and the actual detected value. If the deviation shows a contraction state, it indicates that the current value of the power compensation factor C is reasonable, and the value of C is kept unchanged; if the deviation shows a divergence trend, the power compensation factor C is corrected and updated to keep the control effect stable.

[0060] See Figure 3 This figure is a schematic diagram of the structure of a controller provided in an embodiment of this application. Figure 3 As shown, the controller 30 includes a model building module 31, a disturbance identification module 32, and a temperature control module 33.

[0061] The model building module 31 is used to establish a dynamic thermal balance model based on the heat balance relationship and using the heat input and heat output data of the temperature field system. The disturbance identification module 32 is used to identify and calculate the real-time actual values ​​of each disturbance factor according to the dynamic thermal balance model to obtain the total disturbance. The temperature control module 33 is used to generate the final control command based on the total disturbance, the actual detected temperature of the temperature field, and the preset temperature, using a combination of feedforward and feedback control, and adjusts the heating power according to the final control command to control the temperature field.

[0062] The controller provided in this application embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0063] Furthermore, based on the above embodiments, the model building module 31 is specifically used to calculate the heat generated by gas combustion based on the acquired gas flow rate setpoint and gas calorific value setpoint; calculate the heat released by the material at high temperature based on the acquired material heat release parameters, and superimpose the heat generated by gas combustion with the heat released by the material at high temperature to obtain heat input data; calculate the heat required for the dry material to heat up based on the acquired dry material weight, material specific heat capacity, and material temperature difference; calculate the heat required for the water in the material to evaporate based on the acquired moisture weight, water specific heat capacity, water heat of vaporization, and material initial temperature; determine the equipment heat dissipation based on the historical average difference between the heat input data, the heat required for the dry material to heat up, and the heat required for the water in the material to evaporate; and establish a dynamic heat balance model based on the heat input data, the heat required for the dry material to heat up, the heat required for the water in the material to evaporate, and the equipment heat dissipation.

[0064] The controller provided in this application embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0065] Furthermore, based on the above embodiments, the disturbance identification module 32 is specifically used to average the real-time actual process values ​​of each disturbance factor to obtain the stable actual process value corresponding to each disturbance factor; calculate the sub-disturbance amount corresponding to each disturbance factor based on the deviation between the stable actual process value corresponding to each disturbance factor and the corresponding target value; determine the effective sub-disturbance amount corresponding to each disturbance factor by judging the relative deviation of each sub-disturbance amount against a preset deviation threshold; and superimpose the effective sub-disturbance amounts corresponding to each disturbance factor to obtain the total disturbance amount.

[0066] The controller provided in this application embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0067] Furthermore, based on the above embodiments, the temperature control module 33 is specifically used to perform feedforward control processing on the total disturbance quantity to generate feedforward compensation control quantity; perform feedback control processing based on the deviation between the actual detected temperature and the preset temperature of the temperature field to generate feedback control quantity; and fuse the feedforward compensation control quantity and the feedback control quantity to obtain the final control command.

[0068] The controller provided in this application embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0069] Furthermore, based on the above embodiments, when performing feedforward control processing on the total disturbance to generate feedforward compensation control quantity, the temperature control module 33 is specifically used to divide the gas flow disturbance and the gas calorific value disturbance into instantaneous disturbance components, and to divide the material heat release disturbance, material weight disturbance, and material humidity disturbance into delayed disturbance components; directly calculate the compensation power for the instantaneous disturbance components to obtain the instantaneous disturbance compensation quantity; calculate the disturbance delay duration based on the distance from the material inlet to the heating zone and the equipment operating speed; calculate the delay compensation power for the delayed disturbance components according to the disturbance delay duration to obtain the delayed disturbance compensation quantity; and superimpose the instantaneous compensation quantity and the delayed compensation quantity to obtain the feedforward compensation control quantity.

[0070] The controller provided in this application embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0071] Furthermore, based on the above embodiments, when generating feedback control quantities by performing feedback control processing based on the deviation between the actual detected temperature and the preset temperature of the temperature field, the temperature control module 33 is specifically used to calculate the difference between the actual detected temperature and the preset temperature of the temperature field to obtain a temperature deviation value; the temperature deviation value is processed by closed-loop feedback adjustment to obtain a preliminary feedback adjustment quantity; the preliminary feedback adjustment quantity is smoothed and corrected to obtain a fine-tuning feedback adjustment quantity; and the fine-tuning feedback adjustment quantity is determined as the feedback control quantity used to compensate for the remaining temperature deviation.

[0072] The controller provided in this application embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0073] Furthermore, based on the above embodiments, when fusing the feedforward compensation control quantity and the feedback control quantity to obtain the final control command, the temperature control module 33 is specifically used to calculate the feedforward power adjustment quantity based on the feedforward compensation control quantity and the feedback power adjustment quantity based on the feedback control quantity; to superimpose the feedforward power adjustment quantity and the feedback power adjustment quantity to obtain the total power adjustment quantity; and to generate the corresponding heating control signal according to the total power adjustment quantity to obtain the final control command.

[0074] The controller provided in this application embodiment can execute the technical solution shown in the above method embodiment. Its implementation principle and beneficial effects are similar, and will not be described again here.

[0075] See Figure 4 The figure is a schematic diagram of the structure of an electronic device provided in an embodiment of this application, including: Memory 11 is used to store computer programs; The processor 12 is used to implement the steps of the temperature field control method described in any of the above method embodiments when executing the computer program.

[0076] In this embodiment, the device can be an in-vehicle computer, a PC (Personal Computer), or a terminal device such as a smartphone, tablet computer, handheld computer, or portable computer.

[0077] The device may include a memory 11, a processor 12, and a bus 13.

[0078] The memory 11 includes at least one type of readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the device, such as the hard disk of the device. In other embodiments, the memory 11 may be an external storage device of the device, such as a plug-in hard disk, SmartMedia Card (SMC), Secure Digital (SD) card, Flash Card, etc. Furthermore, the memory 11 may include both internal and external storage units of the device. The memory 11 can be used not only to store application software and various types of data installed on the device, such as program code executing temperature field control methods, but also to temporarily store data that has been output or will be output. In some embodiments, the processor 12 may be a Central Processing Unit (CPU).

[0079] In some embodiments, processor 12 may be a central processing unit (CPU), controller, microcontroller, microprocessor or other data processing chip, used to run program code stored in memory 11 or process data, such as program code for executing temperature field control methods.

[0080] This bus 13 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0081] Furthermore, the device may also include a network interface 14, which may optionally include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), typically used to establish communication connections between the device and other electronic devices.

[0082] Optionally, the device may further include a user interface 15, which may include a display, an input unit such as a keyboard, and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the device and to display a visual user interface.

[0083] Figure 4 Only devices with components 11-15 are shown; those skilled in the art will understand that... Figure 4 The structure shown does not constitute a limitation on the device and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0084] Based on the same inventive concept, corresponding to the methods of any of the above embodiments, this application also provides a computer-readable storage medium storing computer instructions for causing the computer to perform the methods described in any of the above embodiments.

[0085] The computer-readable media in this application embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0086] The computer instructions stored in the storage medium of the above embodiments are used to cause the computer to perform the methods described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0087] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the methods, controllers, electronic devices, and media are basically similar to the method embodiments, so the descriptions are relatively simple, and relevant parts can be referred to the descriptions of the method embodiments. The methods, controllers, electronic devices, and media described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components indicated as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0088] The above description is merely one specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A temperature field control method, characterized in that, include: Based on the heat balance relationship, a dynamic heat balance model is established using the heat input and heat output data of the temperature field system. Based on the aforementioned thermal balance dynamic model, the real-time actual values ​​of each disturbance factor are identified and calculated to obtain the total disturbance amount. Based on the total disturbance, the actual detected temperature of the temperature field, and the preset temperature, a final control command is generated using a combination of feedforward and feedback control. The heating power is then adjusted according to the final control command to control the temperature field.

2. The method according to claim 1, characterized in that, The step of identifying and calculating the real-time process values ​​of each disturbance factor based on the thermal balance dynamic model to obtain the total disturbance includes: The real-time actual process values ​​of each disturbance factor are averaged to obtain the stable actual process values ​​corresponding to each disturbance factor. Based on the deviation between the actual stable process value and the corresponding target value corresponding to each disturbance factor, the sub-disturbance amount corresponding to each disturbance factor is calculated respectively. The relative deviation of each sub-item disturbance is compared with the preset deviation threshold to determine the effective sub-item disturbance corresponding to each disturbance factor; The effective sub-perturbations corresponding to each perturbation factor are superimposed to obtain the total perturbation.

3. The method according to claim 1, characterized in that, The final control command is generated based on the total disturbance, the actual detected temperature of the temperature field, and the preset temperature, using a feedforward and feedback composite control system, including: The total disturbance is processed by feedforward control to generate a feedforward compensation control quantity; Feedback control is performed based on the deviation between the actual detected temperature and the preset temperature in the temperature field to generate a feedback control quantity. The feedforward compensation control quantity and the feedback control quantity are fused together to obtain the final control command.

4. The method according to claim 3, characterized in that, If the disturbance factors are, in order, changes in gas flow rate, changes in gas calorific value, changes in material heat release, changes in material weight, and changes in material moisture, then the target sub-item disturbance quantities corresponding to each disturbance factor are, in order, gas flow rate disturbance quantity, gas calorific value disturbance quantity, material heat release disturbance quantity, material weight disturbance quantity, and material moisture disturbance quantity. The step of performing feedforward control processing on the total disturbance to generate feedforward compensation control quantity includes: The gas flow rate disturbance and the gas calorific value disturbance are divided into instantaneous disturbance components, and the material heat release disturbance, the material weight disturbance, and the material humidity disturbance are divided into delayed disturbance components. The compensation power is directly calculated for the instantaneous disturbance component to obtain the instantaneous disturbance compensation amount; The disturbance delay duration is calculated based on the distance from the material inlet to the heating zone and the equipment operating speed. The delay compensation power is calculated for the delayed disturbance component according to the aforementioned disturbance delay duration to obtain the delay disturbance compensation amount; The feedforward compensation control quantity is obtained by superimposing the instantaneous compensation quantity and the delay compensation quantity.

5. The method according to claim 3, characterized in that, The step of performing feedback control processing based on the deviation between the actual detected temperature and the preset temperature in the temperature field to generate a feedback control quantity includes: The temperature deviation value is obtained by calculating the difference between the actual detected temperature and the preset temperature in the temperature field. The temperature deviation value is processed using closed-loop feedback regulation to obtain the initial feedback regulation amount; The initial feedback adjustment amount is smoothed and corrected to obtain the fine-tuned feedback adjustment amount; The fine-tuning feedback adjustment amount is determined as the feedback control amount used to compensate for the residual temperature deviation.

6. The method according to claim 3, characterized in that, The step of fusing the feedforward compensation control quantity and the feedback control quantity to obtain the final control command includes: Based on the feedforward compensation control quantity, the feedforward power adjustment quantity is calculated, and based on the feedback control quantity, the feedback power adjustment quantity is calculated. The feedforward power adjustment amount and the feedback power adjustment amount are superimposed to obtain the total power adjustment amount; Based on the total power adjustment, a corresponding heating control signal is generated to obtain the final control command.

7. The method according to claim 1, characterized in that, The aforementioned dynamic model of heat balance, based on the heat balance relationship and utilizing the heat input and heat output data of the temperature field system, includes: Based on the obtained gas flow rate setpoint and gas calorific value setpoint, the heat generated by gas combustion is calculated; Based on the acquired material heat release parameters, the heat release of the material at high temperature is calculated, and the heat generated by the combustion of the gas is superimposed with the heat release of the material at high temperature to obtain heat input data; Based on the obtained dry material weight, specific heat capacity, and temperature difference, the amount of heat required to raise the temperature of the dry material is calculated. Based on the obtained water weight, specific heat capacity of water, heat of vaporization of water, and initial temperature of the material, the heat required for water evaporation in the material is calculated. The heat dissipation of the equipment is determined based on the historical average difference between the heat input data, the heat required for heating the dry material, and the heat required for evaporation of moisture in the material. A dynamic heat balance model is established based on the heat input data, the heat required for the dry material to heat up, the heat required for the evaporation of moisture in the material, and the heat dissipation of the equipment.

8. A controller, characterized in that, include: The model building module is used to build a dynamic heat balance model based on the heat balance relationship and using the heat input and heat output data of the temperature field system. The disturbance identification module is used to identify and calculate the real-time actual values ​​of each disturbance factor based on the thermal balance dynamic model, and obtain the total disturbance amount. The temperature control module is used to generate a final control command based on the total disturbance, the actual detected temperature of the temperature field and the preset temperature, using a combination of feedforward and feedback control, and to adjust the heating power according to the final control command in order to control the temperature field.

9. An electronic device, characterized in that, The device includes: a processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1 to 7.

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