Temperature step control algorithm based on Simulink and implementation method thereof
By constructing a temperature step control algorithm in Simulink environment and setting the temperature rise rate and stability time of the temperature interval in segments, the problem that traditional temperature control methods fail to consider the differences in material characteristics is solved, and the effect of precise temperature control and energy saving is achieved.
Patent Information
- Application Number
- CN202510088559.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-21
- Publication Date
- 2025-05-06
AI Technical Summary
Traditional temperature control methods fail to take into account the differences in the characteristics of materials in different temperature intervals, resulting in waste of energy and poor material performance.
The temperature ladder control algorithm built on Simulink environment divides the temperature range into three stages, and the heating rate and stability time under different temperature intervals are set in segments, and real-time temperature monitoring and dynamic control strategy adjustment is realized through state machine modules, timer modules, PID controllers and other modules.
Accurate temperature control during material processing is achieved, the accuracy and efficiency of material processing is improved, and energy consumption is significantly reduced.
Smart Images
Figure CN119937677A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of automatic control, and in particular relates to a temperature step control algorithm based on Simulink and an implementation method thereof. Background Art
[0002] In high-temperature material processing, accurate temperature control is crucial to ensure product quality. Traditional temperature control methods are often too simple and fail to take into account the differences in material properties in different temperature ranges, which can easily lead to energy waste or poor material performance. Therefore, developing an intelligent control algorithm that can dynamically adjust the heating strategy and stabilization time according to the characteristics of different temperature ranges has become a research focus. Summary of the invention
[0003] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a temperature step control algorithm based on Simulink and its implementation method. The algorithm is constructed based on the Simulink environment, and the precise temperature control in the material processing process is achieved by setting the heating rate and stabilization time in different temperature ranges in segments.
[0004] To achieve the above object, the present invention provides the following technical solutions: a temperature step control algorithm based on Simulink, which is constructed based on the Simulink environment, divides the entire temperature range into three stages, and sets the heating rate and stabilization time in different temperature intervals in stages, which is used to accurately control the temperature during material processing; The control strategy for each stage is as follows: In the initial temperature stage from 30℃ to 120℃: set the temperature to rise by two degrees per minute, and keep the temperature stable for 15 minutes after each 10℃ rise; In the medium temperature stage between 120℃ and 200℃: keep the temperature rising by two degrees per minute, and extend the stabilization time to 25 minutes after every 10℃ rise; In the high temperature stage from 200°C to 480°C: continue to increase the temperature by two degrees per minute, and the stabilization time is extended again to 55 minutes after each increase of 10°C.
[0005] Preferably, a method for implementing a temperature step control algorithm based on a Simulink environment is provided, wherein the Simulink environment is used for modeling and simulation, and real-time data exchange and closed-loop control with actual temperature sensors, heaters, and control hardware are realized. The specific implementation method is as follows: a comprehensive control system including a state machine module, a timer module, a PID controller, a temperature sensor model, a sampling module, a data stream, and a decision logic module is created to realize real-time temperature monitoring and dynamic control strategy adjustment.
[0006] Preferably, the sampling module is used for the temperature sensor ADC to collect real-time temperature; The state machine module is used to identify the current temperature range and start the control process of the corresponding stage according to the preset rules; The timer module is used to control the stable time length maintained at each temperature point; The PID controller adjusts the heater output based on the real-time temperature rise feedback and the set 2°C / min temperature to ensure that the actual temperature closely tracks the set target; The temperature sensor model provides virtual temperature measurement results for system simulation and algorithm verification; The data flow and decision logic module realizes dynamic decision and iterative execution of the algorithm through conditional branching and loop control structure.
[0007] Compared with the prior art, the beneficial effects of the present invention are: the temperature step control algorithm based on Simulink proposed in the present invention, through intelligent temperature control strategy and efficient simulation platform, brings a new solution to the high-temperature material processing industry, which is suitable for high-temperature material processing processes that require precise temperature control, such as ceramic sintering, metal alloy heat treatment and semiconductor material synthesis. It can not only improve the accuracy and efficiency of material processing, but also significantly reduce energy consumption, and has important scientific research and practical value. BRIEF DESCRIPTION OF THE DRAWINGS
[0008] Figure 1 This is a schematic diagram of the system control principle implemented based on Simulink in the present invention; Figure 2 For the temperature rise at 30 degrees, the upper broken line in the figure represents temperature, and the lower broken line represents time; Figure 3 The temperature rise at 130 degrees, the upper line in the figure represents temperature, and the lower line represents time; Figure 4 This is the temperature rise at 230 degrees. The upper broken line in the figure represents temperature, and the lower broken line represents time. DETAILED DESCRIPTION
[0009] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below through embodiments and in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0010] Refer to the following Figure 1-Figure 4 To describe a temperature step control algorithm based on Simulink and its implementation method provided in one embodiment of the present application.
[0011] A temperature step control algorithm based on Simulink. The algorithm is built based on the Simulink environment, divides the entire temperature range into three stages, and sets the heating rate and stabilization time in different temperature ranges in stages, which is used to accurately control the temperature during material processing; The control strategy for each stage is as follows: In the initial temperature stage from 30℃ to 120℃: set the temperature to rise by two degrees per minute, and keep the temperature stable for 15 minutes after each 10℃ rise; In the medium temperature stage between 120℃ and 200℃: keep the temperature rising by two degrees per minute, and extend the stabilization time to 25 minutes after every 10℃ rise; In the high temperature stage from 200°C to 480°C: continue to increase the temperature by two degrees per minute, and the stabilization time is extended again to 55 minutes after each increase of 10°C.
[0012] Furthermore, an implementation method of building a temperature step control algorithm based on the Simulink environment is proposed. The Simulink environment is used for modeling and simulation to realize real-time data exchange and closed-loop control with actual temperature sensors, heaters and control hardware. The specific implementation method is as follows: create an integrated control system including a state machine module, a timer module, a PID controller, a temperature sensor model, a sampling module, a data flow and a decision logic module to realize real-time temperature monitoring and dynamic control strategy adjustment.
[0013] In a further embodiment, the sampling module is used for the temperature sensor ADC to collect real-time temperature; In a further embodiment, the state machine module is used to identify the current temperature range and start the control process of the corresponding stage according to the preset rules; In a further embodiment, the timer module is used to control the length of stable time maintained at each temperature point; In a further embodiment, the PID controller adjusts the heater output based on the real-time temperature rise feedback compared with the set 2°C / min temperature to ensure that the actual temperature closely tracks the set target; In a further embodiment, the temperature sensor model provides virtual temperature measurement results for system simulation and algorithm verification; In a further embodiment, the data flow and decision logic module implements dynamic decision making and iterative execution of the algorithm through conditional branching and loop control structures.
[0014] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0015] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.
Claims
1. A temperature step control algorithm based on Simulink, characterized in that: The algorithm is built based on the Simulink environment, which divides the entire temperature range into three stages, and sets the heating rate and stabilization time in different temperature ranges in stages to accurately control the temperature during material processing. The control strategy for each stage is as follows: In the initial temperature stage from 30℃ to 120℃: set the temperature to rise by two degrees per minute, and keep the temperature stable for 15 minutes after each 10℃ rise; In the medium temperature stage between 120℃ and 200℃: keep the temperature rising by two degrees per minute, and extend the stabilization time to 25 minutes after every 10℃ rise; In the high temperature stage from 200°C to 480°C: continue to increase the temperature by two degrees per minute, and the stabilization time is extended again to 55 minutes after each increase of 10°C.
2. A method for implementing a temperature step control algorithm based on a Simulink environment, which is applied to construct the temperature step control algorithm as claimed in claim 1, characterized in that: The Simulink environment is used for modeling and simulation to realize real-time data exchange and closed-loop control with actual temperature sensors, heaters and control hardware. The specific implementation method is as follows: create a comprehensive control system including state machine module, timer module, PID controller, temperature sensor model, sampling module, data flow and decision logic module to realize real-time temperature monitoring and dynamic control strategy adjustment.
3. The method for implementing a temperature step control algorithm based on a Simulink environment according to claim 2, characterized in that: The sampling module is used for the temperature sensor ADC to collect real-time temperature; The state machine module is used to identify the current temperature range and start the control process of the corresponding stage according to the preset rules; The timer module is used to control the stable time length maintained at each temperature point; The PID controller adjusts the heater output based on the real-time temperature rise feedback and the set 2°C / min temperature to ensure that the actual temperature closely tracks the set target; The temperature sensor model provides virtual temperature measurement results for system simulation and algorithm verification; The data flow and decision logic module realizes dynamic decision and iterative execution of the algorithm through conditional branching and loop control structure.