CN-121455255-B - Temperature control system and method

CN121455255BCN 121455255 BCN121455255 BCN 121455255BCN-121455255-B

Abstract

The invention provides a temperature control system and a temperature control method, which can be applied to the technical field of temperature control equipment. The temperature control system comprises a temperature measuring circuit, a signal processing circuit, a controller and a heating circuit, wherein the temperature measuring circuit is used for generating an Nth temperature measuring signal aiming at the current environment at the Nth moment, N is an integer larger than 1, the signal processing circuit is used for analyzing the Nth temperature measuring signal to determine the Nth temperature of the current environment at the Nth moment, the controller is used for processing the N temperatures of the current environment at the N moments by using a trained neural network to obtain an N+1th control coefficient, the N+1th control coefficient is corrected based on the N temperature change rate from the N-1 th temperature to the N temperature, and a corresponding pulse width modulation signal is generated based on the corrected control coefficient.

Inventors

MA LEI
HUANG JINHONG
LIU CHAOJUN
LI YIFAN

Assignees

天津大学

Dates

Publication Date: 20260512
Application Date: 20260106

Claims (8)

1. A temperature control system, the temperature control system comprising, in combination: the temperature measuring circuit is used for generating an Nth temperature measuring signal aiming at the current environment at an Nth moment, wherein N is an integer larger than 1; The signal processing circuit is used for analyzing the Nth temperature measurement signal and determining the Nth temperature of the current environment at the Nth moment; A controller for processing the N temperatures of the current environment at N times using a trained neural network to obtain an N+1th control coefficient, correcting the N+1th control coefficient based on an N temperature change rate from the N-1 th temperature to the N temperature, and generating a corresponding pulse width modulation signal based on the corrected control coefficient; the heating circuit is used for generating corresponding heat energy under the control of the pulse width modulation signal; the controller is further configured to: calculating the nth temperature change rate according to a temperature difference value between the nth temperature and the (N-1) th temperature and a unit time under the condition that the nth temperature belongs to a first range; Calculating a power correction value based on the Nth temperature change rate and the reference temperature change rate, and correcting the (N+1) th control coefficient by using the power correction value, wherein the first range is 0-100K; the reference temperature change rate is determined according to the temperature change rate of the current environment in unit time when the temperature of the current environment belongs to a second range, wherein the first range is lower than the second range.
2. The temperature control system of claim 1, wherein the controller is further configured to: Outputting the (n+1) th control coefficient according to N temperature error values between the N temperatures and a target temperature by using the trained neural network.
3. The temperature control system of claim 2, wherein the trained neural network comprises an input layer; The input layer is used for: Determining temperature error values between the N temperatures and the target temperature respectively to obtain the N temperature error values; Determining a sum of the N temperature error values; determining a difference between the nth temperature error value and the N-1 th temperature error value; The controller is further configured to process the N temperature error values, the sum value, the difference value, and the nth temperature using the trained neural network, and output the n+1 th control coefficient.
4. The temperature control system of claim 1, wherein the thermometry circuit comprises a constant current source circuit, a silicon diode, and a sampling circuit connected; the silicon diode is used for adjusting the voltage drop between the first end and the second end of the silicon diode at the nth moment based on the constant current of the constant current source circuit under the influence of the temperature of the current environment, so that the sampling circuit generates the nth temperature measurement signal based on the voltage drop.
5. The temperature control system of claim 1, wherein the signal processing circuit comprises: and the processor is used for determining the corresponding Nth temperature according to the received Nth temperature measurement signal by utilizing a preset silicon diode temperature-voltage characteristic curve.
6. The temperature control system of claim 5, wherein the signal processing circuit further comprises a differential amplifier, a voltage follower, a filter circuit, and an analog-to-digital converter connected in sequence; The differential amplifier is used for amplifying an Nth temperature measurement signal from the temperature measurement circuit, providing the amplified Nth temperature measurement signal to the filter circuit through the voltage follower, filtering the amplified Nth temperature measurement signal by the filter circuit, converting the type of the filtered Nth temperature measurement signal from an analog signal to a digital signal by the analog-to-digital converter, and providing the Nth temperature measurement signal serving as the digital signal to the processor.
7. The temperature control system of claim 5, wherein the heating circuit comprises a gate drive unit, a switching unit, a heater chip, and a power supply unit for supplying power to the gate drive unit and the heater chip; The grid driving unit is used for controlling the switch unit to output pulses to the heating sheet based on the corrected control coefficient under the control of the pulse width modulation signal so that the heating sheet generates the heat energy.
8. A method of controlling temperature, comprising: generating an Nth temperature measurement signal aiming at the current environment at an Nth moment, wherein N is an integer greater than 1; analyzing the Nth temperature measurement signal, and determining the Nth temperature of the current environment at the Nth moment; Processing N temperatures of the current environment at N moments by using a trained neural network to obtain an N+1th control coefficient, correcting the N+1th control coefficient based on an N temperature change rate from the N-1 th temperature to the N temperature, and generating a corresponding pulse width modulation signal based on the corrected control coefficient; Controlling the temperature of the heat conducting material in the current environment under the control of the pulse width modulation signal; The temperature control method further comprises the following steps: calculating the nth temperature change rate according to a temperature difference value between the nth temperature and the (N-1) th temperature and a unit time under the condition that the nth temperature belongs to a first range; Calculating a power correction value based on the Nth temperature change rate and the reference temperature change rate, and correcting the (N+1) th control coefficient by using the power correction value, wherein the first range is 0-100K; the reference temperature change rate is determined according to the temperature change rate of the current environment in unit time when the temperature of the current environment belongs to a second range, wherein the first range is lower than the second range.

Description

Temperature control system and method Technical Field The invention relates to the technical field of temperature control equipment, in particular to a temperature control system and a temperature control method. Background With the development of low-temperature physical experiments, superconducting technology, quantum computation, aerospace technology, biological medicine and other technologies, the requirement for accurate temperature control in an ultralow-temperature environment is remarkably increased. However, the temperature control device has the defects in the aspects of temperature control range, temperature control precision, universality of temperature control algorithm and the like in the ultralow temperature environment. Disclosure of Invention In view of the above, the present invention provides a temperature control system and method. According to one aspect of the invention, a temperature control system is provided, comprising a temperature measuring circuit connected to generate an Nth temperature measuring signal for a current environment at an Nth moment, wherein N is an integer larger than 1, a signal processing circuit for analyzing the Nth temperature measuring signal to determine the Nth temperature of the current environment at the Nth moment, a controller for processing the N temperatures of the current environment at the N moments by using a trained neural network to obtain an N+1th control coefficient, correcting the N+1th control coefficient based on the N temperature change rate from the N-1 th temperature to the Nth temperature, and generating a corresponding pulse width modulation signal based on the corrected control coefficient, and a heating circuit for generating corresponding heat energy under the control of the pulse width modulation signal. According to another aspect of the invention, a temperature control method is provided, which comprises the steps of generating an Nth temperature measurement signal aiming at a current environment at an Nth moment, analyzing the Nth temperature measurement signal, determining the Nth temperature of the current environment at the Nth moment, processing the N temperatures of the current environment at the N moments by using a trained neural network to obtain an N+1th control coefficient, correcting the N+1th control coefficient based on the N temperature change rate from the N-1 th temperature to the N th temperature, generating a corresponding pulse width modulation signal based on the corrected control coefficient, and controlling the temperature of a heat conducting material in the current environment under the control of the pulse width modulation signal. According to the embodiment of the invention, the temperature measuring circuit can generate an Nth temperature measuring signal of the current environment. The signal processing circuit may then determine an nth temperature of the current environment based on the thermometry signal. And then, the neural network deployed by the processor can synthesize N temperatures at N moments, and calculate a preliminary (n+1) th control coefficient. And, the processor may calculate an nth temperature change rate from an nth temperature and an nth-1 temperature at a previous time to an nth temperature change rate at the nth time. Further, the processor can correct the (n+1) th control coefficient according to the (N) th temperature change rate to correct the heating power of the heating circuit, so that the influence of the specific heat capacity of the heated object on controlling the temperature of the heated object is at least partially eliminated, and the temperature control with high precision is accurately performed. Also, since the controller calculates N temperatures based on a trained neural network, it has a faster response speed than a PID (Proportional-integral-derivative) controller in some schemes. Therefore, the temperature can be accurately controlled in real time in an ultralow temperature environment. Drawings The foregoing and other objects, features and advantages of the invention will be apparent from the following description of embodiments of the invention with reference to the accompanying drawings, in which: FIG. 1 shows a schematic diagram of a temperature control system according to an embodiment of the invention. Fig. 2 shows a schematic diagram of a temperature control system according to another embodiment of the invention. Fig. 3 shows a schematic diagram of a thermometric circuit and a signal processing circuit according to an embodiment of the invention. Fig. 4 shows a schematic diagram of a trained neural network according to an embodiment of the invention. FIG. 5 illustrates a thermometric calibration curve in a second temperature range according to an embodiment of the invention. FIG. 6 illustrates a thermometric calibration graph at a first temperature range in accordance with an embodiment of the invention. FIG. 7 shows a comparison of temperature contr