Heating control method and system for rice noodle extrusion machine

Abstract

This invention proposes a heating control method and system for a rice noodle extruder. The method includes: using the output power of the heater in each heating cylinder, the flow rate of the cooling sleeve, and the screw speed as input control variables for a prediction model; using the measured temperature values ​​of each heating cylinder collected by a temperature sensor as state variables; establishing a prediction model; and outputting the predicted temperature value of each heating cylinder segment. Based on the given target temperature value and the measured temperature value of each heating cylinder segment, a reference trajectory is constructed. A rolling optimization objective function is established based on the prediction model and the reference trajectory, and the optimal control variable is obtained by solving the objective function. The optimal control variable is transmitted to a PID controller, which adjusts the output power of the heater in each heating cylinder, the flow rate of the cooling sleeve, and the screw speed based on the feedback of the optimal control variable. This method improves the temperature control accuracy and stability of the rice noodle extruder.

Description

Technical Field

[0001] This invention relates to rice noodle extrusion machines, and more particularly to a heating control method and system for rice noodle extrusion machines. Background Technology

[0002] Temperature control during rice noodle processing is one of the main factors affecting its quality. The rice noodle extruder, as the carrier for temperature control in rice noodle processing, is one of the key pieces of equipment in the rice noodle production line, and its performance directly affects the quality of the final product. During the extrusion process, the material passes through heating cylinders at different temperature ranges to achieve the required physicochemical changes, thereby forming the desired characteristics of the rice noodles.

[0003] However, existing heating control methods for rice noodle extruders often employ simple PID and fuzzy PID control algorithms. Due to the inherent hysteresis, high inertia, nonlinearity, and coupling inherent in rice noodle extruders, these existing temperature control methods are not ideal, making precise temperature regulation difficult. This is especially true when material properties change, as maintaining temperature consistency and stability is challenging. Furthermore, the significant differences in the physicochemical properties of different raw materials mean that a single heating mode cannot adequately meet the needs of various materials. Insufficient temperature control can also lead to overheating during the heating process, increasing production costs. Existing technologies have limitations in terms of control accuracy, system stability, and production efficiency. Therefore, there is an urgent need to develop a temperature control method and system for the heating process of rice noodle extruders to meet the demands of higher quality production standards. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention proposes a heating control method and system for rice noodle extruders, which solves the problems of low temperature control accuracy and poor stability in existing rice noodle extruders.

[0005] To achieve the above objectives, the present invention provides a heating control method for a rice noodle extruder. The rice noodle extruder body includes multiple heating cylinders, each heating cylinder being equipped with a screw, a temperature sensor, a heater, and a cooling sleeve. The method includes:

[0006] The output power of the heater in each heating cylinder segment, the flow rate of the cooling sleeve, and the screw speed are used as input control variables for the prediction model. The measured temperature values ​​of each heating cylinder segment collected by the temperature sensor are used as state variables to establish the prediction model, which outputs the predicted temperature value of each heating cylinder segment. Based on the given target temperature value and the measured temperature value of each heating cylinder segment, a reference trajectory is constructed. A rolling optimization objective function is established based on the prediction model and the reference trajectory, and the optimal control variable is obtained by solving the objective function. The optimal control variable is transmitted to the PID controller, which adjusts the output power of the heater in each heating cylinder segment, the flow rate of the cooling sleeve, and the screw speed according to the feedback of the optimal control variable.

[0007] In one embodiment of the present invention, each heating cylinder segment is provided with multiple temperature sensors, multiple heaters, and multiple cooling sleeves, all of which are uniformly arranged along the length of the heating cylinder segment. The method further includes: dividing each heating cylinder segment into multiple sub-heating cylinder segments according to the position of each heater; and adjusting the output power of the heater and the flow rate of the cooling sleeve of each heating cylinder segment according to the output power of the heater and the flow rate of the cooling sleeve of each heating cylinder segment.

[0008] In one embodiment of the present invention, the prediction model is represented as:

[0009]

[0010] in, This represents the predicted temperature value corresponding to the k-th segment of the heating cylinder. This represents the input control quantity corresponding to the k-th segment of the heating cylinder. , It is a matrix describing the dynamic characteristics of the system; N is a positive integer representing the number of recursion steps;

[0011] Based on the output of the current heating cylinder and the input control quantity of the heating cylinder in the previous period, the output of the next heating cylinder is predicted. This output represents the predicted temperature value.

[0012] In one embodiment of the present invention, the reference trajectory is represented as:

[0013]

[0014] in, This represents the target temperature value corresponding to the k-th segment of the heating cylinder. This represents the measured temperature value corresponding to the k-th segment of the heating cylinder. For reference trajectory, it represents the reference temperature value corresponding to the (k+1)th segment of the heating cylinder.

[0015] In one embodiment of the present invention, the objective function is expressed as:

[0016]

[0017] in, Let Q represent the objective function, where Q is the temperature error weighting coefficient and R is the energy consumption weighting coefficient.

[0018] In one embodiment of the present invention, the objective function is solved according to the set constraints, which include: the power range of the heater of each heating cylinder segment, the flow range of the cooling sleeve, and the rotational speed range of the screw.

[0019] In one embodiment of the present invention, the method further includes: inputting the feed amount of each heating cylinder segment to the PID controller for feedforward compensation.

[0020] In addition, the present invention also provides a heating control system for a rice noodle extruder. The system includes a rice noodle extruder body and a control unit. The rice noodle extruder body includes multiple heating cylinders, and each heating cylinder is equipped with a screw, a temperature sensor, a heater, and a cooling sleeve.

[0021] Wherein: the control unit includes:

[0022] The information acquisition module is electrically connected to each section of the heating cylinder to acquire the output power of the heater, the flow rate of the cooling sleeve, and the screw speed of each section of the heating cylinder.

[0023] The main control module, electrically connected to the information acquisition module, is used to initiate a temperature prediction program, including: receiving the output power of the heater of each heating cylinder segment, the flow rate of the cooling sleeve, and the screw speed as input control variables for the prediction model; using the measured temperature values ​​of each heating cylinder segment collected by the temperature sensor as state variables; establishing a prediction model; the prediction model outputs the predicted temperature value of each heating cylinder segment; constructing a reference trajectory based on the given target temperature value of each heating cylinder segment and the measured temperature value of each heating cylinder segment; establishing a rolling optimization objective function based on the prediction model and the reference trajectory; and solving the objective function to obtain the optimal control variable.

[0024] A PID controller is provided, with its input terminal electrically connected to the output terminal of the main control module and its output terminal electrically connected to the information acquisition module. The PID controller is used to obtain the optimal control quantity and, based on the optimal control quantity, to adjust the output power of the heater in each section of the heating cylinder, the flow rate of the cooling sleeve, and the screw speed.

[0025] In one embodiment of the present invention, the control unit further includes a feedforward controller electrically connected to the PID controller, for receiving the feed rate of each heating cylinder segment as input to obtain a feedforward compensation amount, and inputting the feedforward compensation amount to the PID controller to compensate the output of the PID controller.

[0026] In one embodiment of the present invention, the multi-segment heating cylinder includes: a curing section cylinder, on which multiple temperature sensors, multiple heaters, and multiple cooling sleeves are arranged; and an extrusion section cylinder, connected to the output end of the curing section cylinder, on which multiple temperature sensors, multiple heaters, and multiple cooling sleeves are arranged.

[0027] As can be seen from the above solutions, the advantages of the present invention are:

[0028] This invention discloses a heating control method for a rice noodle extruder. Combining model prediction and PID control, the method uses the output power of the heater in each heating cylinder, the flow rate of the cooling sleeve, and the screw speed as input control variables for the prediction model, and the measured temperature of each heating cylinder as the state variable to establish the prediction model. Based on the given target temperature value and the measured temperature value of each heating cylinder, a reference trajectory is constructed. Furthermore, a rolling optimization objective function is established by combining the prediction model and the reference trajectory to obtain the optimal control variable. Finally, the optimal control variable is transmitted to the PID controller, which adjusts the output power of the heater in each heating cylinder, the flow rate of the cooling sleeve, and the screw speed according to the feedback of the optimal control variable. This method calculates the optimal control variable by combining multiple heating cylinders, eliminating the coupling of multi-cylinder heating, and achieving prediction and advance control of future states. It eliminates the lag in the temperature control of the rice noodle extruder cylinders, reduces heating inertia, significantly reduces overshoot in the heating process, and improves the temperature control accuracy and stability of the rice noodle extruder. Attached Figure Description

[0029] Figure 1(a) shows a schematic diagram of the structure of the multi-section heating cylinder of the rice noodle extruder body provided in an embodiment of the present invention;

[0030] Figure 1(b) shows a cross-sectional view of the curing section cylinder of Figure 1(a);

[0031] Figure 1(c) shows a cross-sectional view of the extrusion section barrel of Figure 1(c);

[0032] Figure 2 A schematic diagram of the heating control system of the rice noodle extruder is shown.

[0033] Figure 3 A schematic diagram of the overall flow of a rice noodle extruder heating control method according to an embodiment of the present invention is shown.

[0034] Figure 4 The diagram shows the heating control principle of a rice noodle extruder.

[0035] The reference numerals in the attached figures are as follows:

[0036] 1: Rice noodle extrusion machine body;

[0037] 10: Heating cylinder;

[0038] 10A: Curing section feed cylinder;

[0039] 10B: Extrusion section barrel;

[0040] 11: Temperature sensor;

[0041] 12: Heater;

[0042] 13: Cooling sleeve;

[0043] 14: Feeding port;

[0044] 15: Discharge port;

[0045] 16: Screw;

[0046] 2: Control unit;

[0047] 21: Information Acquisition Module;

[0048] 22: Main control module;

[0049] 23: PID controller;

[0050] 24: Feedforward controller;

[0051] 3: Human-computer interaction terminal. Detailed Implementation

[0052] To make the above features and effects of the present invention clearer and easier to understand, specific embodiments are described below, and detailed descriptions are provided in conjunction with the accompanying drawings.

[0053] Please refer to the following first. Figure 1(a)-Figure 1(c) Figure 1(a) shows a schematic diagram of the structure of the multi-section heating cylinder of the rice noodle extruder body provided in an embodiment of the present invention; Figure 1(b) shows a cross-sectional view of the cooking section cylinder of Figure 1(a); Figure 1(c) shows a cross-sectional view of the extrusion section cylinder of Figure 1(c). For the rice noodle extruder, its rice noodle extruder body 1 includes multiple heating cylinders 10, each heating cylinder 10 is provided with a screw (not shown in the figure), a temperature sensor 11, a heater 12, and a cooling sleeve 13.

[0054] In some embodiments, such as Figure 1(a)-Figure 1(c)As shown, in practical applications, the multi-segment heating cylinder 10 includes multiple curing cylinders 10A and multiple extrusion cylinders 10B connected to the output ends of the curing cylinders 10A. Each curing cylinder 10A is equipped with multiple temperature sensors 11, multiple heaters 12, and multiple cooling sleeves 13, all uniformly arranged along its length. Similarly, the extrusion cylinder 10B is also uniformly equipped with multiple temperature sensors 11, multiple heaters 12, and multiple cooling sleeves 13, all uniformly arranged along its length. In this embodiment, the uniform arrangement of multiple temperature sensors along the length of the heating cylinder enables real-time temperature monitoring at different locations. This helps to more accurately understand the temperature distribution within the heating cylinder, thereby enabling more precise temperature control. Furthermore, based on data feedback from multiple temperature sensors, the control unit can adjust the output power of each heater to ensure uniform temperature distribution within the heating cylinder. This helps avoid localized overheating or undercooling, improving product quality stability and consistency. Additionally, the uniform arrangement of multiple heaters allows for flexible adjustment of the heating cylinder's power according to actual needs. Multiple heaters can be activated simultaneously when rapid heating is required; when the temperature approaches the set value, the output power of some heaters can be appropriately reduced, achieving more efficient energy utilization. Simultaneously, precise control of the heater's output power avoids unnecessary energy waste. The uniformly arranged heaters also help reduce heat loss, improving the overall heating efficiency of the rice flour extruder's heating system. Furthermore, the uniform arrangement of multiple cooling sleeves ensures more uniform and efficient cooling. When the temperature inside the heating cylinder reaches the set value, the cooling sleeves quickly remove heat, lowering the cylinder temperature and ensuring smooth production. Effective cooling measures also help reduce the operating temperature of the heating cylinder, minimizing the impact of thermal stress on equipment materials and extending the equipment's lifespan. In this embodiment, because the temperature sensor, heater, and cooling sleeve are all evenly arranged along the length, the load on each component is relatively balanced, which helps to reduce the failure rate. Even if one component fails, the other components can continue to work normally, ensuring the continuity and stability of production.

[0055] In addition, further reference Figure 1(a)-Figure 1(c) As shown, the curing section barrel 10A and the extrusion section barrel 10B are also provided with a feeding port 14 and a discharge port 15. The feeding port 14 and the discharge port 15 are designed using existing technology, which will not be described in detail in this invention.

[0056] Furthermore, in this embodiment, the multi-stage heating cylinder 10 is not limited to the curing section cylinder 10A and the extrusion section cylinder 10B; other heating cylinders can also be provided as needed.

[0057] Based on the above Figure 1(a)-Figure 1(c) The invention discloses a multi-stage heating cylinder structure for the rice noodle extruder body and specifically includes a heating control system for the rice noodle extruder. (See reference...) Figure 2 As shown, Figure 2 A schematic diagram of the heating control system of a rice noodle extruder is shown. The heating control system of the rice noodle extruder includes the rice noodle extruder body 1 and the control unit 2. The rice noodle extruder body 1 includes multiple heating cylinders 10. Each heating cylinder 10 is equipped with a screw (not shown in the figure), a temperature sensor 11, a heater 12, and a cooling sleeve 13.

[0058] The control unit 2 includes an information acquisition module 21, a main control module 22, a PID controller 23, and a feedforward controller 24.

[0059] The information acquisition module 21 is electrically connected to each section of the heating cylinder to acquire the output power of the heater, the flow rate of the cooling sleeve, and the rotational speed of the screw for each section of the heating cylinder.

[0060] The main control module 22, electrically connected to the information acquisition module 21, is used to initiate a temperature prediction program, including: receiving the output power of the heater 12 of each heating cylinder, the flow rate of the cooling sleeve 13, and the rotational speed of the screw 16 as input control quantities for the prediction model; using the measured temperature values ​​of each heating cylinder collected by the temperature sensor 11 as state quantities; establishing a prediction model; the prediction model outputs the predicted temperature value of each heating cylinder; constructing a reference trajectory based on the given target temperature value of each heating cylinder and the measured temperature value of each heating cylinder; establishing a rolling optimization objective function based on the prediction model and the reference trajectory; and solving the objective function to obtain the optimal control quantity.

[0061] A PID controller 23 is provided, with its input terminal electrically connected to the output terminal of the main control module 22 and its output terminal electrically connected to the information acquisition module 21. The PID controller 23 is used to acquire the optimal control quantity and, based on the optimal control quantity, to adjust the output power of the heater in each section of the heating cylinder, the flow rate of the cooling sleeve, and the rotational speed of the screw.

[0062] The feedforward controller 24 is electrically connected to the PID controller 23. The feedforward controller 24 cooperates with the PID controller 23. The feedforward controller 24 is used to receive the feed amount of each heating cylinder as input to obtain the feedforward compensation amount, and inputs the feedforward compensation amount to the PID controller to compensate the output of the PID controller.

[0063] Furthermore, in some embodiments, the heater 11 is specifically electrically connected to the control unit 2 via a relay, and the heater is turned on and off by controlling the relay. The cooling sleeve is specifically electrically connected to the control unit via a solenoid valve, and the flow rate of the cooling sleeve is controlled by controlling the opening of the solenoid valve.

[0064] In this embodiment, the activation status of multiple heaters can be flexibly adjusted according to actual needs. When rapid heating is required, multiple heaters can be turned on simultaneously; when the temperature approaches the set value, the output power of some heaters can be appropriately reduced, thereby achieving more efficient energy utilization. Furthermore, the activation status of multiple cooling sleeves can be flexibly adjusted in conjunction with the heaters to regulate the heat of the heating cylinder.

[0065] In addition, in some embodiments, in order to facilitate system operation and visualization of monitoring information, a human-machine interface terminal 3 is added to the heating control system of the rice noodle extruder. The interactive interface of the human-machine interface terminal 3 can display the measured temperature values ​​of each section of the heating cylinder and the current working status of the heater, cooling sleeve and screw in real time.

[0066] Utilizing the aforementioned heating control system for a rice noodle extruder, an embodiment of the present invention specifically discloses a heating control method for a rice noodle extruder, as detailed in the following reference. Figure 3 , Figure 4 As shown, where Figure 3 A schematic diagram of the overall process for the heating control method of the rice noodle extruder is shown. Figure 4 A schematic diagram of the heating control principle of the rice noodle extruder of the present invention is shown. The heating control method of the rice noodle extruder will be described in detail below, in conjunction with the above-described heating control system.

[0067] A heating control method for a rice noodle extrusion machine, which combines model predictive control and PID control, specifically includes the following steps:

[0068] Step S1: Using the output power of the heater of each heating cylinder, the flow rate of the cooling sleeve, and the screw speed as the input control variables of the prediction model, and using the measured temperature values ​​of each heating cylinder collected by the temperature sensor as the state variables, a prediction model is established. The prediction model outputs the predicted temperature value of each heating cylinder.

[0069] In this embodiment, an extrusion test was conducted on the rice noodle extruder. Data was collected and preprocessed based on the output power of the heater in each section of the heating cylinder, the flow rate of the cooling sleeve, the screw speed, and the feed rate.

[0070] Further using the preprocessed data, the output power of the heater of each heating cylinder, the flow rate of the cooling sleeve, and the screw speed are used as the input control variables of the prediction model, and the measured temperature values ​​of each heating cylinder collected by the temperature sensor are used as the state variables to establish the prediction model. The prediction model outputs the predicted temperature value of each heating cylinder.

[0071] Specifically, the prediction model is represented as follows:

[0072]

[0073] in, This represents the predicted temperature value corresponding to the k-th segment of the heating cylinder. This represents the input control quantity corresponding to the k-th segment of the heating cylinder. , It is a matrix describing the dynamic characteristics of the system; N is a positive integer representing the number of recursion steps.

[0074] In this embodiment, for the prediction model, the output of the next heating cylinder is predicted by recursively combining the output of the current heating cylinder with the input control quantity of the heating cylinder in the previous heating cylinder. This output represents the predicted temperature value.

[0075] Step S2: Construct a reference trajectory based on the given target temperature value of each heating cylinder segment and the measured temperature value of each heating cylinder segment.

[0076] In this embodiment, in addition to the prediction model, a reference trajectory is further constructed based on the given target temperature value of each segment of the heating cylinder and the measured temperature value of each segment. Specifically, the reference trajectory is represented as follows:

[0077]

[0078] in, This represents the target temperature value corresponding to the k-th segment of the heating cylinder. This represents the measured temperature value corresponding to the k-th segment of the heating cylinder. For reference trajectory, it represents the reference temperature value corresponding to the (k+1)th segment of the heating cylinder.

[0079] Step S3: Establish a rolling optimization objective function based on the prediction model and the reference trajectory, and solve the objective function to obtain the optimal control quantity.

[0080] In this embodiment, after constructing the prediction model and reference trajectory through steps S2 and S3 respectively, a rolling optimization objective function is further established by combining the prediction model and the reference trajectory. The optimal control quantity is obtained by solving the objective function. Specifically, the objective function is expressed as:

[0081]

[0082] in, Let Q represent the objective function, where Q is the temperature error weighting coefficient and R is the energy consumption weighting coefficient.

[0083] In addition, in some embodiments, to prevent the input control quantity from exceeding the rated value, constraints are set, including the power range of the heater of each heating cylinder segment, the flow range of the cooling sleeve, the speed range of the screw, etc., and the objective function is solved in combination with the constraints.

[0084] In this embodiment, by using the objective function Elimination will yield information about The optimization problem is solved by finding... The optimal control quantity can then be obtained, which includes the optimal output power of the heater, the optimal flow rate of the cooling sleeve, and the optimal screw speed for each section of the heating barrel. In other words, the optimal control quantity includes the total optimal output power of the heater, the total optimal flow rate of the cooling sleeve, and the total optimal screw speed for each section of the heating barrel.

[0085] In addition, such as Figure 1(a)-Figure 1(c) As shown, in practice, each heating cylinder segment typically has multiple temperature sensors, multiple heaters, and multiple cooling sleeves, all evenly distributed along the length of that segment. Therefore, each heating cylinder segment can be further divided into multiple sub-heating cylinders based on the position of each heater. After determining the total optimal output power of the heaters, the total optimal flow rate of the cooling sleeves, and the total optimal screw speed for each heating cylinder segment, the optimal output power of each heater, the optimal flow rate of each cooling sleeve, and the optimal screw speed can be further determined based on the arrangement of the heaters, cooling sleeves, and screw on that segment.

[0086] Step S4: The optimal control quantity is transmitted to the PID controller, which then adjusts the output power of the heater in each section of the heating cylinder, the flow rate of the cooling sleeve, and the screw speed based on the feedback of the optimal control quantity.

[0087] In this embodiment, reference is made to Figure 4 As shown, after obtaining the optimal control quantity, the optimal control quantity is input into the PID controller, which then adjusts the output power of the heater in each section of the heating cylinder, the flow rate of the cooling sleeve, and the screw speed based on the feedback of the optimal control quantity.

[0088] Furthermore, in this embodiment, as mentioned above, based on the total optimal output power of the heaters in each heating cylinder segment, the total optimal flow rate of the cooling sleeves, and the total optimal rotational speed of the screw, the output power of each heater in each heating cylinder segment, the flow rate of each cooling sleeve, and the rotational speed of each screw can also be adjusted based on feedback.

[0089] In addition, further reference Figure 4 As shown, since the feed rate has a significant impact on temperature, in one embodiment, the feed rate of each heating cylinder segment is further input to the feedforward controller. The feedforward control works in conjunction with the PID control. The feedforward controller receives the feed rate of each heating cylinder segment as input to obtain the feedforward compensation amount, and inputs the feedforward compensation amount to the PID controller to compensate the output of the PID controller.

[0090] In summary, this invention discloses a heating control method for a rice noodle extruder. Combining model prediction and PID control, the method uses the output power of the heater in each heating cylinder, the flow rate of the cooling sleeve, and the screw speed as input control variables for the prediction model, and the measured temperature of each heating cylinder as the state variable to establish the prediction model. Based on the given target temperature value and the measured temperature value of each heating cylinder, a reference trajectory is constructed. Furthermore, a rolling optimization objective function is established by combining the prediction model and the reference trajectory to obtain the optimal control variable. Finally, the optimal control variable is transmitted to the PID controller, which adjusts the output power of the heater in each heating cylinder, the flow rate of the cooling sleeve, and the screw speed based on the feedback of the optimal control variable. This method calculates the optimal control variable by simultaneously controlling multiple heating cylinders, eliminating the coupling of multi-cylinder heating, and achieving prediction and advance control of future states. It eliminates the lag in the temperature control of the rice noodle extruder cylinders, reduces heating inertia, significantly reduces overshoot during the heating process, and improves the accuracy and stability of the temperature control of the rice noodle extruder.

[0091] Furthermore, it should be noted that the heating control method for rice noodle extruder disclosed in this invention is not limited to being executed in the order of steps S1-S4 described above. The steps can be reordered, added, or deleted, as long as the desired result of the technical solution of this invention can be achieved. This invention does not impose any limitations on this.

[0092] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A heating control method for a rice noodle extruding machine, the rice noodle extruding machine body comprising a plurality of heating barrels, characterized in that, Each heating barrel is provided with a screw, a plurality of temperature sensors, a plurality of heaters, a plurality of cooling sleeves, and the plurality of temperature sensors, the plurality of heaters, and the plurality of cooling sleeves are uniformly arranged on the heating barrel along the length direction; the method comprises: The output power of the heater, the flow of the cooling sleeve, and the rotating speed of the screw of each heating barrel are taken as the input control quantity of the prediction model, and the temperature measured value of each heating barrel collected by the temperature sensor is taken as the state quantity, so as to establish the prediction model, and the prediction model outputs the temperature prediction value of each heating barrel; The prediction model is represented as: wherein, represents the temperature prediction value corresponding to the kth heating barrel, represents the input control value corresponding to the kth heating barrel, 、 is a matrix describing the dynamic characteristics of the system; N is a positive integer representing the number of steps of recursion; According to the output corresponding to the current heating barrel and the input control quantity corresponding to the historical heating barrel, the output corresponding to the next heating barrel is recursively predicted, and the output represents the temperature prediction value; According to the given target temperature value of each heating barrel and the temperature measured value of each heating barrel, a reference trajectory is constructed, and the reference trajectory is represented as: wherein, Tk represents a target temperature value corresponding to the kth heating barrel, Tk represents a measured temperature value corresponding to the kth heating barrel, Tk+1 represents a reference temperature value corresponding to the k+1th heating barrel. According to the prediction model and the reference trajectory, a target function of rolling optimization is established, and the optimal control quantity is obtained by solving the target function; the target function is represented as: wherein, represents the objective function, Q is the temperature error weight coefficient, R is the energy consumption weight coefficient, is the input control amount of the k+jth heating barrel; The optimal control quantity is transmitted to the PID controller, and the PID controller feeds back and adjusts the output power of the heater, the flow of the cooling sleeve, and the rotating speed of the screw of each heating barrel according to the optimal control quantity; For each heating barrel, according to the position of each heater, the heating barrel is further divided into a plurality of sub-heating barrels; the output power of the heater and the flow of the cooling sleeve of each sub-heating barrel are adjusted according to the output power of the heater and the flow of the cooling sleeve of each heating barrel.

2. The method of claim 1, wherein, The target function is solved according to the set constraints, and the constraints include the power range of the heater, the flow range of the cooling sleeve, and the rotating speed range of the screw of each heating barrel.

3. The method of claim 1, wherein, It also comprises: The feed amount of each heating barrel is input to the PID controller for feedforward compensation.

4. A heating control system for a rice noodle extruding machine, characterized in that, The system comprises a rice noodle extruding machine body and a control unit, the rice noodle extruding machine body comprises a plurality of heating barrels, each heating barrel is provided with a screw, a temperature sensor, a heater, and a cooling sleeve; The plurality of heating barrels comprise: A curing barrel, the curing barrel is provided with a plurality of temperature sensors, a plurality of heaters, and a plurality of cooling sleeves; An extruding barrel connected to the output end of the curing barrel, the extruding barrel is provided with a plurality of temperature sensors, a plurality of heaters, and a plurality of cooling sleeves; The control unit comprises: An information acquisition module electrically connected to each heating barrel, used to acquire the output power of the heater, the flow of the cooling sleeve, and the rotating speed of the screw of each heating barrel; A main control module electrically connected to the information acquisition module, used to start a temperature prediction program, comprising: The output power of the heater, the flow of the cooling sleeve, and the rotating speed of the screw of each heating barrel are taken as the input control quantity of the prediction model, and the temperature measured value of each heating barrel collected by the temperature sensor is taken as the state quantity, so as to establish the prediction model, and the prediction model outputs the temperature prediction value of each heating barrel; According to the target temperature value of each heating barrel and the measured temperature value of each heating barrel, a reference trajectory is constructed; According to the prediction model and the reference trajectory, a target function of rolling optimization is established, and the optimal control amount is obtained by solving the target function; A PID controller is electrically connected to the output end of the main control module and the input end of the information acquisition module, used to acquire the optimal control amount, and feedback adjust the output power of the heater, the flow of the cooling sleeve, and the rotating speed of the screw of each heating barrel according to the optimal control amount.

5. The system of claim 4, wherein, The control unit further comprises a feedforward controller electrically connected to the PID controller, used to receive the feeding amount of each heating barrel as input to obtain a feedforward compensation amount, and input the feedforward compensation amount to the PID controller to compensate the output of the PID controller.

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