CN-122018602-A - Control method and system for cold source module in heat exchange test system and storage medium

CN122018602ACN 122018602 ACN122018602 ACN 122018602ACN-122018602-A

Abstract

The application relates to a control method, a control system and a storage medium of a cold source module in a heat exchange test system, and relates to the technical field of cold source module control, comprising the steps of collecting real-time multidimensional signals of the cold source module; the method comprises the steps of carrying out filtering processing on a real-time multidimensional signal based on preset discrete Kalman filtering to generate a real-time liquid supply temperature and a real-time actuating mechanism feedback value, carrying out characteristic calculation and classification recognition based on the real-time liquid supply temperature and the real-time actuating mechanism feedback value to generate a temperature disturbance parameter and a temperature disturbance type, controlling a preset temperature regulation response model based on the temperature disturbance parameter and the temperature disturbance type to carry out response speed analysis on a preset candidate regulation parameter combination to generate a fastest response parameter combination and an optimal regulation quantity, and controlling the preset actuating mechanism to execute according to the optimal regulation quantity. The application has the effect of improving the temperature control precision of the cold source module.

Inventors

ZHOU HUAYI
YU SHENGLIANG
YU JIANWU

Assignees

上海艾克森股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260414

Claims (10)

1. The control method of the cold source module in the heat exchange test system is characterized by comprising the following steps: Collecting real-time multidimensional signals of a cold source module; Filtering the real-time multidimensional signal based on a preset discrete Kalman filter to generate a real-time liquid supply temperature and a real-time actuator feedback value; Performing feature calculation and classification recognition based on the real-time liquid supply temperature and the real-time actuator feedback value to generate a temperature disturbance parameter and a temperature disturbance type; controlling a preset temperature regulation response model based on the temperature disturbance parameters and the temperature disturbance types to perform response speed analysis on preset candidate regulation parameter combinations so as to generate the fastest response parameter combinations and optimal regulation quantities; And controlling a preset executing mechanism to execute according to the optimal adjustment quantity.
2. The method of claim 1, wherein the step of performing feature calculation and classification recognition based on the real-time liquid supply temperature and the real-time actuator feedback value to generate the temperature disturbance parameter and the temperature disturbance type comprises: extracting disturbance quantity based on the real-time liquid supply temperature and the real-time actuating mechanism feedback value to generate temperature disturbance quantity; Performing time domain feature calculation on the temperature disturbance quantity to generate a temperature disturbance amplitude and a temperature disturbance change rate; Carrying out frequency domain feature calculation on the temperature disturbance quantity to generate a temperature disturbance frequency; correlating the temperature disturbance amplitude, the temperature disturbance change rate and the temperature disturbance frequency to generate a temperature disturbance parameter; And searching the temperature disturbance type in a preset disturbance classification relation according to the temperature disturbance parameters.
3. The method for controlling a cold source module in a heat exchange test system according to claim 2, wherein the step of extracting the disturbance variable based on the real-time liquid supply temperature and the real-time actuator feedback value to generate the temperature disturbance variable comprises: determining a state transition matrix, a control input matrix, an observation matrix and a posterior state estimation value based on discrete Kalman filtering; Temperature prediction is carried out based on the state transition matrix, the posterior state estimation value, the control input matrix and the real-time actuator feedback value so as to generate a predicted temperature vector; Mapping the predicted temperature vector based on the observation matrix to generate a predicted liquid supply temperature; and calculating a difference value between the predicted liquid supply temperature and the real-time liquid supply temperature to generate the temperature disturbance quantity.
4. The method according to claim 1, wherein the step of controlling a preset temperature regulation response model based on the temperature disturbance parameters and the temperature disturbance type to perform response speed analysis on the preset candidate adjustment parameter combination to generate the fastest response parameter combination and the optimal adjustment amount comprises: collecting a liquid supply temperature change sequence based on the candidate regulation parameter combination; Extracting features based on the liquid supply temperature change sequence to generate inertial time feature parameters, lag time feature parameters and parameter static gains; Calculating the inertia time characteristic parameter and the lag time characteristic parameter based on the temperature regulation response model to generate coarse adjustment time of the liquid supply temperature and fine adjustment time of the liquid supply temperature; constraining a preset regulation decision rule according to the temperature disturbance type to generate a constraint decision rule; screening the candidate adjustment parameter combination and the parameter static gain based on constraint decision rules, coarse adjustment time of the liquid supply temperature and fine adjustment time of the liquid supply temperature to determine the fastest response parameter combination and the optimal static gain; The quotient of the temperature disturbance parameter and the optimal static gain is calculated to generate an optimal adjustment.
5. The method for controlling a cold source module in a heat exchange test system according to claim 4, wherein the expression of the temperature regulation response model is: ; ; In the formula, In order to coarsely adjust the time of the liquid supply temperature, As a characteristic parameter of the lag time, As a characteristic parameter of the inertia time, Is a preset natural logarithmic constant.
6. The method for controlling a cold source module in a heat exchange test system according to claim 1, wherein the step of controlling the execution of a preset actuator according to the optimal adjustment amount comprises: Distributing the optimal adjustment quantity to an executing mechanism according to a preset adjustment quantity distribution rule so as to generate a transient adjustment instruction and a basic adjustment instruction; Dead zone compensation is carried out on the transient regulation command so as to generate a compensation transient command; controlling the corresponding executing mechanism to execute according to the basic regulating instruction and the compensation transient state instruction, and collecting a steady-state temperature deviation value; And updating the transient state adjusting instruction based on the steady state deviation value, and controlling the corresponding executing mechanism to execute by the updated transient state adjusting instruction.
7. The method of claim 6, wherein dead-band compensating the transient adjustment command to generate a compensated transient command comprises: compensating the transient state adjusting instruction according to a preset adjusting quantity subsection compensation model so as to generate a basic compensation instruction; collecting a heating adjustment instruction; And analyzing the basic compensation instruction and the heating adjustment instruction according to a preset cold-hot interlocking rule to determine a compensation transient instruction.
8. The method of claim 6, wherein updating the transient adjustment command based on the steady state deviation value comprises: analyzing the steady-state deviation value according to a preset integral separation rule to generate an integral separation coefficient; Adjusting a preset steady-state control algorithm according to the integral separation coefficient to generate an adjusted steady-state algorithm; And calculating a steady-state deviation value based on the steady-state adjustment algorithm to generate a steady-state control instruction, and updating the transient adjustment instruction by the steady-state control instruction.
9. Control system of cold source module in heat transfer test system, its characterized in that includes: the acquisition module is used for acquiring real-time multidimensional signals; a memory for storing a program of the control method of the cold source module in the heat exchange test system according to any one of claims 1 to 8; A processor, a program in a memory being capable of being loaded and executed by the processor and implementing a method for controlling a cold source module in a heat exchange test system according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which executes a method of controlling a cold source module in a heat exchange test system according to any one of claims 1 to 8.

Description

Control method and system for cold source module in heat exchange test system and storage medium Technical Field The application relates to the technical field of cold source module control, in particular to a control method, a control system and a storage medium of a cold source module in a heat exchange test system. Background The refined temperature control of the cold source module is a key for ensuring accurate reproduction of test results and real working conditions in liquid cooling test. In the related art, the liquid supply temperature control of the cold source module generally uses a PID algorithm as a control core, a temperature deviation signal is obtained by detecting the liquid supply temperature and calculating the difference between the liquid supply temperature and a set temperature, the temperature deviation signal is input into the PID algorithm, the control quantity is obtained through proportional, integral and differential operations, and the control quantity is output to a corresponding executing mechanism, such as a variable frequency compressor, an electronic expansion valve, etc., so that the liquid supply temperature is changed through the control of the executing mechanism, and the liquid supply temperature is converged to the set temperature. Aiming at the related technology, the PID algorithm is used as a control core to control the liquid supply temperature of the cold source module, and is essentially temperature control of a post-compensation machine mode, when the liquid supply temperature has small amplitude, high frequency and sudden disturbance, the small amplitude disturbance is very easy to filter and remove, when the high frequency disturbance occurs, the action inertia of the actuating mechanism causes the adjustment to be behind, and when the sudden disturbance occurs, the PID algorithm can compensate only when waiting for the occurrence of a temperature peak, so that the temperature control precision of the cold source module is low, and the improvement is still available. Disclosure of Invention In order to improve the temperature control precision of the cold source module, the application provides a control method, a control system and a storage medium of the cold source module in a heat exchange test system. In a first aspect, the present application provides a control method for a cold source module in a heat exchange test system, which adopts the following technical scheme: The control method of the cold source module in the heat exchange test system comprises the following steps: Collecting real-time multidimensional signals of a cold source module; Filtering the real-time multidimensional signal based on a preset discrete Kalman filter to generate a real-time liquid supply temperature and a real-time actuator feedback value; Performing feature calculation and classification recognition based on the real-time liquid supply temperature and the real-time actuator feedback value to generate a temperature disturbance parameter and a temperature disturbance type; controlling a preset temperature regulation response model based on the temperature disturbance parameters and the temperature disturbance types to perform response speed analysis on preset candidate regulation parameter combinations so as to generate the fastest response parameter combinations and optimal regulation quantities; And controlling a preset executing mechanism to execute according to the optimal adjustment quantity. Optionally, the step of performing feature calculation and classification recognition based on the real-time liquid supply temperature and the real-time actuator feedback value to generate the temperature disturbance parameter and the temperature disturbance type includes: extracting disturbance quantity based on the real-time liquid supply temperature and the real-time actuating mechanism feedback value to generate temperature disturbance quantity; Performing time domain feature calculation on the temperature disturbance quantity to generate a temperature disturbance amplitude and a temperature disturbance change rate; Carrying out frequency domain feature calculation on the temperature disturbance quantity to generate a temperature disturbance frequency; correlating the temperature disturbance amplitude, the temperature disturbance change rate and the temperature disturbance frequency to generate a temperature disturbance parameter; And searching the temperature disturbance type in a preset disturbance classification relation according to the temperature disturbance parameters. Optionally, the step of extracting the disturbance variable based on the real-time liquid supply temperature and the real-time feedback value of the actuator to generate the temperature disturbance variable includes: determining a state transition matrix, a control input matrix, an observation matrix and a posterior state estimation value based on discrete Kalman filtering; Temperature prediction is car