Thermally servoed multi-objective optimization temperature control method

Abstract

The application discloses a temperature follow-up multi-objective optimization temperature control method, comprising: system parameter setting, configuring temperature control parameters, the temperature control parameters comprising a temperature control lower limit, a temperature control upper limit, a temperature collection and temperature control judgment period and a temperature measurement effective range; real-time data collection and analysis, and screening effective temperature data; temperature control interval type determination, obtaining the maximum temperature from the effective temperature data, and determining the temperature control state interval in which the system is currently located according to the maximum temperature; based on the determination result of the temperature control state interval, dynamically setting the temperature control target for each temperature control object, and controlling the switch state of the heater of each temperature control object according to the temperature control target. The temperature control method provided by the application monitors the temperature of multiple temperature control objects, identifies the highest temperature in the system, and dynamically divides and adjusts the temperature control target value of each object in combination with the temperature control upper and lower limits and the temperature consistency deviation, so that the multi-objective temperature consistency and heating energy consumption are synergistically optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of spacecraft thermal control, and in particular to a temperature servo multi-objective optimization temperature control method. BACKGROUND

[0002] During the on-orbit operation of a spacecraft, many precise instruments and equipment inside the spacecraft, such as lithium-ion battery packs, propellant storage tanks, optical load reference plates, etc., have strict requirements on working temperature. Not only is it necessary to stabilize the temperature within a specific range, but it is also often necessary to achieve temperature consistency control between multiple objects, usually requiring temperature difference control within 1℃-3℃, in order to guarantee overall performance, safety and reliability. This requirement is particularly prominent in deep space exploration, high-resolution earth observation and other tasks.

[0003] Currently, spacecraft multi-objective temperature consistency control mainly adopts two types of methods. The first type can be referred to as the highest temperature tracking method, such as the "space multi-objective temperature consistency temperature control method" disclosed by Shanghai Institute of Satellite Engineering in Chinese patent CN107992126A. The core of this method is to control the temperature of all temperature control objects in the system to the highest temperature value that may occur during the task. Although this method can guarantee consistency, it still consumes heating power to raise the temperature of some objects to an unnecessarily high temperature when the temperature of these objects is already low, resulting in significant waste of valuable on-board energy. The second type of method focuses on mechanical thermal design, achieving temperature balance by strengthening the thermal connection between objects, such as the method of strengthening heat diffusion in the battery pack through a heat-conducting base plate and air cooling discussed by Lan Xiaoping in "Numerical Study of Lithium-ion Battery Pack Temperature Control" (Tianjin University, 2013), or the method of interconnecting multiple single-machine devices using a heat pipe network described in "Spacecraft Thermal Control Technology" (Hou Zengqi et al.).

[0004] In summary, the existing technology has obvious deficiencies. The highest temperature tracking method is simple but has low energy efficiency, and the heat transfer strengthening method is limited by the system configuration and has poor universality. Both methods lack the ability to adjust dynamically on the spacecraft, making it difficult to simultaneously consider temperature consistency and control efficiency in complex and changing space thermal environments.

[0005] Therefore, there is an urgent need in the art for a new multi-objective optimization temperature control method that is autonomous, self-adaptive and resource-efficient. SUMMARY

[0006] In view of the above-mentioned deficiencies existing in the field of spacecraft thermal control technology at present, the application provides a temperature follow-up multi-objective optimization temperature control method, which realizes the collaborative optimization of multi-objective temperature consistency and heating energy consumption by monitoring the temperatures of multiple temperature control objects in real time, identifying the highest temperature in the system, and dynamically adjusting the temperature control target values of each object in combination with the temperature control upper and lower limits and the allowed temperature consistency deviation, so as to achieve the effect of accurate temperature control on orbit in the aspects of autonomy, high efficiency, energy saving and high adaptability.

[0007] To achieve the above-mentioned purpose, the embodiments of the application adopt the following technical solutions:

[0008] A temperature follow-up multi-objective optimization temperature control method, comprising:

[0009] S1: configuring temperature control parameters, the temperature control parameters comprising a temperature control lower limit T lower limit , a temperature control upper limit T upper limit , a temperature collection and temperature control judgment period Δ t and a temperature measurement effective range;

[0010] S2: real-time data collection and analysis, at the beginning of each temperature collection and temperature control judgment period Δ t , performing multi-channel temperature data synchronous collection to obtain an original temperature data set, and performing effectiveness verification and filtering on the original temperature data to screen out effective temperature data;

[0011] S3: temperature control interval type determination, obtaining the maximum temperature T max from the effective temperature data, comparing T max with the temperature control upper limit T upper limit , the temperature control lower limit T lower limit and a consistency temperature difference threshold Δ T , and determining the temperature control state interval in which the system is currently located;

[0012] S4: partition control and target dynamic adjustment, based on the determination result of the temperature control state interval, in combination with the temperature control upper and lower limits and the consistency temperature difference threshold Δ T , dynamically setting a temperature control target for each temperature control object, and then controlling the switch state of the heater of each temperature control object according to the real-time temperature of each temperature control object and the corresponding temperature control target.

[0013] According to one aspect of the application, the temperature control parameters further comprise a consistency temperature difference threshold Δ T .

[0014] The temperature measurement effective range is defined by a temperature measurement lower limit T eff lower and a temperature measurement upper limit T eff upper.

[0015] According to one aspect of the application, the temperature control lower limit T lower limit and the temperature control upper limit Tupper limit The determination is based on the minimum and maximum operating temperature requirements of the object being controlled;

[0016] The lower limit of temperature control T lower limit Temperature control upper limit T upper limit and consistency temperature difference threshold Δ T Satisfy T upper limit - T lower limit >Δ T .

[0017] According to one aspect of the present invention, in step S2, the validity verification and filtering of the original temperature data specifically includes:

[0018] Each temperature data T collected i Compare with the effective temperature measurement range; if the temperature data T i If the temperature is within the effective range of the temperature measurement, then the data is determined to be valid temperature data;

[0019] If the temperature data T i If the temperature exceeds the effective range, the data is deemed invalid and excluded from the calculation for this cycle.

[0020] According to one aspect of the present invention, in step S3, the maximum temperature T is obtained from the effective temperature data. max Obtain the maximum temperature T max The formula is: T max = max{valid T1, valid T2, ..., valid T n}

[0021] According to one aspect of the present invention, in step S3, the determination of the current temperature control state range of the system is specifically determined by the following rules:

[0022] If T max <T lower limit + Δ T If the value is 2, then the system is determined to be in the low-temperature region;

[0023] If T lower limit + Δ T / 2 ≤ T max ≤ T upper limit If so, the system is determined to be in the normal temperature control zone;

[0024] If T max >T upper limit If so, the system is determined to be in a high-temperature zone.

[0025] According to one aspect of the present invention, in step S4, dynamically setting a temperature control target for each temperature-controlled object specifically involves:

[0026] If the system is in the low temperature zone, each temperature control object takes the lower limit of temperature control T lower limit as the temperature control target;

[0027] If the system is in the normal temperature control zone, each temperature control object takes T max - Δ T / 2 as the temperature control target;

[0028] If the system is in the high temperature zone, each temperature control object takes T upper limit - Δ T / 2 as the temperature control target.

[0029] According to an aspect of the present application, in step S4, the control of the switch state of the corresponding heater of each temperature control object according to the real-time temperature of the temperature control object and the corresponding temperature control target is specifically as follows:

[0030] If the real-time temperature T i of the temperature control object is less than or equal to the corresponding temperature control target, the corresponding heater H i of the temperature control object is turned on.

[0031] If the real-time temperature T i of the temperature control object is greater than the corresponding temperature control target, the corresponding heater H i of the temperature control object is turned off.

[0032] According to an aspect of the present application, each temperature control object is configured with a dedicated temperature measuring element and a heater, the temperature measuring element monitors the temperature of the corresponding temperature control object in real time and feeds back the temperature data to the control system, and the control system controls the working state of the heater according to the temperature control logic.

[0033] According to an aspect of the present application, the temperature control parameters are fixed in the non-volatile memory of the on-board computer, and can be updated on-orbit according to the needs of different mission stages.

[0034] The advantages of the embodiment of the present application are as follows: firstly, by dynamically tracking the highest temperature in the system and setting the temperature control target based on the highest temperature, the energy waste caused by always heating according to the limit temperature in the traditional highest temperature tracking method is avoided, and the system power consumption is significantly reduced; secondly, by adopting the one-half temperature difference control strategy, the temperatures of all objects are converged in a narrow range near the highest temperature, thereby effectively ensuring the temperature consistency among multiple objects and overcoming the problem of large fluctuation and easy overshoot of simple on-off control; thirdly, the method of the present application is completely executed by the on-board computer autonomously without the intervention of ground personnel, and can adaptively cope with the complex and variable thermal working conditions in the space environment, thereby improving the autonomous operation capability of the spacecraft; finally, the method does not depend on the physical heat transfer enhancement among objects, and is suitable for the multi-object temperature control scene in which multiple objects are isolated in space and difficult to achieve strong coupling through thermal design, and has wide applicability and high application flexibility. BRIEF DESCRIPTION OF DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0036] Figure 1 The flowchart of the temperature following multi-objective optimization temperature control method of the present application is shown.

[0037] Figure 2 The structural diagram of the multi-object temperature control system of the present application is shown.

[0038] Figure 3 The distribution diagram of the simulated tank temperature control system of the present application is shown.

[0039] Figure 4 The temperature control effect diagram of the simulated tank temperature control system of the present application is shown. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0041] As Figure 1 The flowchart of the temperature following multi-objective optimization temperature control method of the present application is shown. As Figure 1 shown, the method comprises the following steps:

[0042] Step S1: system parameter setting.

[0043] Before the temperature control system is powered on or a task starts, preset temperature control parameters are injected from the ground or automatically loaded by the on-board computer to complete the initialization configuration of the system. These parameters constitute the decision basis of the entire optimized temperature control algorithm, and the parameters specifically include:

[0044] Temperature lower limit (T lower limit ): the minimum temperature threshold required to maintain all temperature control objects in the system. When the temperature of an object is lower than this value, the corresponding heater needs to be started to prevent the equipment from being too cold. This parameter is determined according to the minimum working temperature requirement of the equipment, for example, T lower limit is set to 20℃.

[0045] Temperature upper limit (T upper limit ): the maximum temperature threshold allowed for all temperature control objects in the system. When the temperature of an object approaches or exceeds this value, heating should be stopped to prevent the equipment from overheating. This parameter is determined according to the maximum working temperature requirement of the equipment, for example, T upper limit is set to 25℃.

[0046] Consistency temperature difference threshold (Δ T ): the maximum temperature deviation allowed between multiple temperature control objects to meet the functional performance requirements of the system. This parameter is the core of the half-temperature difference control strategy implemented by the present application, and its value directly determines the consistency accuracy of the temperature within the system. It is usually set in the range of 1℃ to 3℃ according to task requirements, and in an embodiment of the present application, Δ T is set to 1℃.

[0047] Temperature measurement effective range parameter: specifies the effective range of the temperature T i of each temperature control object corresponding to the temperature measurement point T eff lower (i={1, n}) is limited by the lower limit value (T eff upper ) and the upper limit value (T i ). Subsequently collected T max must be within this range to be considered valid data for subsequent T t (multiple object real-time maximum temperature) calculation and temperature control judgment.

[0048] Temperature acquisition and temperature control judgment cycle (Δ t ): the system periodically performs data acquisition, logical judgment, and heater control operations at a fixed time interval. The setting of this cycle needs to balance the real-time control and the consumption of on-board computing resources, for example, Δ upper limit is set to 1 minute.

[0049] In an embodiment of the present application, T lower limit -T TThis ensures that the algorithm has sufficient room for optimization and adjustment. Furthermore, these parameters are typically stored in the onboard computer's non-volatile memory and can be updated in orbit as needed for different mission phases.

[0050] Step S2: Real-time data acquisition and analysis.

[0051] This process is automatically executed at the start of each preset control cycle to obtain reliable data on the current system state and perform preliminary analysis, providing a basis for the final control decision. This process can be systematically divided into the following three sub-steps:

[0052] Step S2.1: Synchronous acquisition of multiple temperature data streams.

[0053] Specifically, the temperature control system reads the temperature sensors (T1, T2, ..., T) in n temperature control loops in real time. n The current measured values ​​of ) form a set of raw temperature datasets {T1, T2, ..., T n}

[0054] The data acquisition process should be synchronized as much as possible to reduce errors in system state judgment caused by sampling time differences and to accurately reflect the overall temperature distribution of the system at a certain moment.

[0055] Step S2.2: Data validity verification and filtering.

[0056] Specifically, the system will collect each temperature data T i Compared with the pre-set effective temperature measurement range (lower limit T) stored in memory eff lower Upper limit T eff upper Perform a comparison and execute logical judgment:

[0057] If T eff lower ≤ T i ≤ T eff upper If the data is valid, it is allowed to participate in subsequent calculations.

[0058] If T i If the data exceeds the above range, it is considered invalid (possibly due to sensor malfunction, signal interference, or link interruption). The system will mark the data as abnormal and implement fault-tolerant processing strategies or exclude it from the calculation in this cycle, while simultaneously triggering an abnormal status flag to be reported and recorded.

[0059] Data validity verification and filtering ensure that the data foundation upon which the subsequent core control algorithms are based is reliable, effectively avoiding interference from invalid data and preventing single-point failures from causing malfunctions in the entire system.

[0060] Step S3: Determine the type of temperature control range.

[0061] Specifically, the following two steps are included:

[0062] Step S3.1: Obtain the maximum temperature from the valid data.

[0063] Specifically, for all temperature data determined to be valid, all valid data is traversed to find the maximum value, i.e., T max = max{valid T1, valid T2,..., valid T n}. This value represents the temperature of the hottest object in the system.

[0064] Step S3.2: Calculate the system state and determine the temperature control interval.

[0065] Specifically, the calculated T max value is compared with the system set upper limit of temperature control (T upper limit ), lower limit of temperature control (T lower limit ) and consistency temperature difference threshold parameter (Δ T ), and the current temperature control state interval of the system is determined according to the following rules:

[0066] If T max <T lower limit + Δ T / 2, it indicates that the overall temperature of the system is low, and all temperature control objects are not close to the lower limit of temperature control T lower limit above half of the consistency temperature difference threshold (Δ T ). At this time, it is determined that the system is in the low temperature zone;

[0067] If T lower limit + Δ T / 2 ≤ T max ≤ T upper limit , it indicates that the system is in the normal temperature control range, and there is an object with high temperature. At this time, it is determined that the system is in the normal temperature control zone;

[0068] If T max >T upper limit , it indicates that at least one temperature control object has reached or exceeded the upper limit of temperature control T upper limit , and there is a risk of overheating. At this time, it is determined that the system is in the high temperature zone.

[0069] Step S4: Sub-area control and target dynamic adjustment.

[0070] Based on the results of step S3 for system temperature control interval determination, combined with the system set upper and lower limits of temperature control (T upper limit , T lower limit ) and consistency deviation Δ T , through sub-area determination and dynamic temperature control target adjustment, the temperature consistency control of multiple objects is realized, which is divided into two sub-steps, as follows:

[0071] Step S4.1: Dynamically set the temperature control target for each temperature-controlled object.

[0072] Specifically, based on the temperature control area determination result in step S3.2, dynamic temperature control targets are set for n temperature control objects (n≥2) within the system, while simultaneously introducing a half-temperature difference (Δ). T / 2) Avoid temperature control overshoot:

[0073] In the low-temperature zone: each temperature-controlled object is controlled according to the system's set lower temperature limit T. lower limit To achieve the temperature control target, ensure that the temperature does not fall below the safe operating lower limit;

[0074] For areas with standard temperature control: each temperature-controlled object is indicated by "T". max -Δ T / 2” is the temperature control target, which makes the temperature of all objects approach the highest temperature without overshooting, ensuring consistency;

[0075] If it is a high-temperature zone: all temperature-controlled objects should be marked with "T". upper limit -Δ T / 2” is the temperature control target to avoid the temperature from exceeding the safe operating limit, while maintaining consistency.

[0076] Step S4.2: Execute the switch control of the heaters in each temperature control circuit.

[0077] Specifically, based on the real-time temperature of each temperature-controlled object and its corresponding temperature control target, the on / off state of the heater corresponding to each temperature-controlled object is controlled.

[0078] In embodiments of the present invention, such as Figure 2 As shown, the multi-object temperature control system comprises multiple independent temperature-controlled objects, each of which (such as different tanks or different areas of a spacecraft) is equipped with a dedicated temperature sensing element (T1, T2, ..., T...). n ) and heaters (H1, H2, ..., H n The temperature sensing element monitors the temperature of the corresponding object in real time and feeds the temperature data back to the control system. The control system dynamically controls the working status of the heater of each object according to the preset temperature control logic, thereby realizing independent and coordinated temperature regulation of multiple objects, ensuring that the temperature of each object is maintained within the target range, and meeting the temperature control requirements such as temperature consistency of multiple objects.

[0079] For each temperature-controlled object, the corresponding temperature control circuit (including heater H) i ), with its real-time temperature T i (The valid data collected in step S2) is compared with the temperature control target determined in sub-step S4.1, and switch control is executed:

[0080] If T i≤ The corresponding temperature control target, turn on heater H i To heat the object;

[0081] If T i The corresponding temperature control target is to shut down heater H. i Stop heating.

[0082] Right now:

[0083] When T max <T lower limit + Δ T / 2 (low temperature zone): If T i ≤T lower limit Then open H i Heater; if Ti>T lower limit Then turn off H. i heater;

[0084] When T lower limit +Δ T / 2 ≤ T max ≤ T upper limit Time (conventional temperature control zone): If T i ≤ T max -Δ T / 2 then open H i Heater; if T i >T max -Δ T / 2, then H is turned off i heater;

[0085] When T max >T upper limit Time (high temperature zone): If T i ≤ T upper limit -Δ T / 2 then open H i Heater; if T i >T upper limit -Δ T If / 2, then Hi heating will be turned off.

[0086] Through the closed-loop control described above, the temperature of each temperature-controlled object approaches the dynamic target, ultimately satisfying the temperature consistency of multiple objects (deviation ≤ Δ). T (and resource optimization needs)

[0087] To illustrate the temperature control effect of this application, the temperature control method of this application is verified through a simulated storage tank temperature control system. Figure 3The distribution of the simulated tank temperature control system is shown. The temperature excitation in the tank system is simulated to simulate the temperature control effect of the algorithm of the application. The simulated tank temperature control system is a typical application scenario designed for the temperature consistency control of the multi-tank of the spacecraft propulsion system. The system composition, parameter setting, thermal environment simulation and temperature control target are all around verifying the effectiveness of the temperature control method of the application, which are specifically described as follows:

[0088] The simulated tank temperature control system takes the multi-tank of the spacecraft propulsion system as the temperature control object, and contains 4 tanks, which are placed and numbered according to the spatial coordinate quadrants as +X+Y tank, +X-Y tank, -X+Y tank and -X-Y tank. The tank material is titanium alloy shell with a thickness of 2 mm. The shape is composed of an upper hemisphere, a middle cylindrical segment and a lower hemisphere, wherein the radius of the upper hemisphere and the lower hemisphere is 370 mm, the radius of the middle cylindrical segment is 370 mm and the height is 400 mm, which conforms to the structural characteristics of the actual spacecraft propulsion system tank. Each tank is divided into 6 independent temperature control areas, specifically the upper hemisphere +X direction, the upper hemisphere -X direction, the middle cylindrical segment +X direction, the middle cylindrical segment -X direction, the lower hemisphere +X direction and the lower hemisphere -X direction. The 4 tanks form 24 temperature control areas, each temperature control area corresponds to a 20W heater and a temperature measurement point. The temperature control heater is controlled by the temperature feedback of the temperature measurement point to form an independent temperature control loop.

[0089] The thermal environment and initial state of the tank temperature control system are set to conform to the actual scenario of the spacecraft in orbit: the outer surfaces of the 4 tanks radiate 40W of heat outward through thermal radiation, while the outer surfaces of the -X+Y tank and the -X-Y tank additionally receive 5W of external heat source input to simulate the influence of non-uniform external heat flow; to verify the ability of the system to respond to temperature fluctuations, a time-varying temperature excitation is input to the upper hemisphere -X direction temperature control area of the -X-Y tank, which varies as a half-sine wave with a period of 180 minutes, and the initial temperature of the remaining 23 temperature control areas is set to 20-20.5℃, which conforms to the initial thermal equilibrium state of the spacecraft in orbit.

[0090] The system sets uniform temperature control parameters and clear temperature control targets. Specifically, the upper limit (T upper limit ) of the temperature control of the 24 temperature control areas is 25℃, the lower limit (T lower limit ) is 20℃, the temperature control consistency deviation Δ T is 1℃, and the temperature difference of all temperature control areas is required to be less than 1℃; the temperature control collection and judgment period is set to 1 minute to ensure real-time capture of temperature changes and execution of temperature control logic. Through the above settings, the actual in-orbit complex thermal environment is simulated to verify the temperature consistency control effect and resource optimization capability of the temperature control method of the application in the multi-tank, multi-area scenario.

[0091] Through simulation verification, as Figure 4As shown, the temperature control system successfully controls the temperature deviation of all 24 temperature control regions within 1℃ (Δ T ) under the condition of periodic thermal disturbance of 18~27℃ in the specific area of the-X-Y storage tank. Meanwhile, the system always optimizes heating with a target value of 0.5℃ lower than the current highest temperature through a dynamic follow-up adjustment mechanism, significantly reducing energy consumption compared to the traditional constant temperature upper limit control method. The whole process does not require manual intervention, fully demonstrating the comprehensive advantages of the method in achieving multi-objective high consistency temperature control, energy saving and autonomous operation on the satellite.

[0092] The advantages of the implementation of the present application are as follows: first, by dynamically tracking the highest temperature in the system and setting the temperature control target based on it, the energy waste caused by always heating at the limit temperature in the traditional highest temperature tracking method is avoided, and the system power consumption is significantly reduced; second, by using the one-half temperature difference control strategy, the temperatures of all objects are converged in a narrow range near the highest temperature, effectively ensuring the temperature consistency among multiple objects, and overcoming the problem of easy overshoot and large fluctuation of simple on-off control; third, the method of the present application is completely executed by the on-board computer autonomously, without the intervention of ground personnel, and can adaptively cope with the complex and variable thermal conditions in space environment, improving the autonomous operation capability of the spacecraft; finally, the method does not depend on the physical heat transfer enhancement between objects, and is suitable for multi-object temperature control scenarios that are isolated in space and difficult to achieve strong coupling through thermal design, has wide applicability and high application flexibility.

[0093] In summary, the temperature control method provided by the present application realizes the on-orbit autonomous temperature control of multiple objects of a spacecraft, reduces power resource consumption while meeting the temperature consistency requirements of multiple objects, improves the temperature control efficiency and system adaptability, and has important application value.

[0094] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or replacements within the scope of the disclosed technology can be easily thought of by those skilled in the art, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A multi-objective optimized temperature control method with temperature following, characterized in that, The multi-objective optimized temperature control method with temperature tracking includes: S1: Configure temperature control parameters, including the lower temperature limit T. lower limit Temperature control upper limit T upper limit Temperature acquisition and control judgment cycle Δ t and the effective temperature measurement range; S2: Real-time data acquisition and analysis, during each temperature acquisition and control judgment cycle Δ t At the beginning, multiple temperature data are collected synchronously to obtain the raw temperature dataset. The raw temperature data is then validated and filtered to select the valid temperature data. S3: Temperature control range type determination, obtain the maximum temperature T from the effective temperature data. max , will T max With upper temperature control limit T upper limit Temperature control lower limit T lower limit and consistency temperature difference threshold Δ T By comparing, the current temperature control state range of the system can be determined; S4: Zoned control and dynamic target adjustment, based on the determination of the temperature control range, combined with the upper and lower limits of temperature control and the consistency temperature difference threshold Δ. T The temperature control target is dynamically set for each temperature control object, and the heater switching status of each temperature control object is controlled according to the real-time temperature of each temperature control object and the corresponding temperature control target. In step S3, the determination of the current temperature control state range of the system is based on the following specific rules: If T max < T lower limit + Δ T If the value is 2, then the system is determined to be in the low-temperature region; If T lower limit + Δ T / 2 ≤ T max ≤ T upper limit If so, the system is determined to be in the normal temperature control zone; If T max > T upper limit If so, the system is determined to be in a high-temperature zone; In step S4, dynamically setting the temperature control target for each temperature-controlled object specifically involves: If the system is in a low-temperature zone, each temperature-controlled object should be controlled according to the lower temperature limit T. lower limit For temperature control objectives; If the system is in the normal temperature control zone, each temperature-controlled object is measured in T. max - Δ T / 2 is the temperature control target; If the system is in a high-temperature zone, each temperature-controlled object is measured in T. upper limit - Δ T / 2 is the temperature control target.

2. The multi-objective optimized temperature control method with temperature following according to claim 1, characterized in that, The temperature control parameters also include a consistent temperature difference threshold Δ T ; The effective temperature measurement range is defined by the lower temperature limit T. eff lower and the upper limit of temperature measurement T eff upper To limit.

3. The multi-objective optimized temperature control method with temperature following according to claim 1, characterized in that, The lower limit of temperature control T lower limit and upper limit of temperature control T upper limit The determination is based on the minimum and maximum operating temperature requirements of the object being controlled; The lower limit of temperature control T lower limit Temperature control upper limit T upper limit and consistency temperature difference threshold Δ T Satisfy T upper limit -T lower limit > Δ T .

4. The multi-objective optimized temperature control method with temperature tracking according to claim 1, characterized in that, In step S2, the validity verification and filtering of the original temperature data specifically includes: Each temperature data T collected i Compare with the effective temperature measurement range; if the temperature data T i If the temperature is within the effective range of the temperature measurement, then the data is determined to be valid temperature data; If the temperature data T i If the temperature exceeds the effective range, the data is deemed invalid and excluded from the calculation for this cycle.

5. The multi-objective optimized temperature control method with temperature tracking according to claim 1, characterized in that, In step S3, the maximum temperature T is obtained from the effective temperature data. max Obtain the maximum temperature T max The formula is: T max = max{valid T1, valid T2, ..., valid T n } 6. The multi-objective optimized temperature control method with temperature tracking according to claim 1, characterized in that, In step S4, controlling the on / off state of the heater corresponding to each temperature-controlled object based on the real-time temperature of each object and the corresponding temperature control target specifically involves: If the real-time temperature T of the object being controlled i If the temperature target is ≤, then turn on the heater H corresponding to that temperature target. i ; If the real-time temperature T of the object being controlled i If the corresponding temperature control target is met, then the heater H corresponding to that temperature control target will be turned off. i .

7. The multi-objective optimized temperature control method with temperature tracking according to claim 1, characterized in that, Each of the temperature-controlled objects is equipped with a dedicated temperature sensing element and a heater. The temperature sensing element monitors the temperature of the corresponding temperature-controlled object in real time and feeds the temperature data back to the control system. The control system controls the working state of the heater according to the temperature control logic.

8. The multi-objective optimized temperature control method with temperature tracking according to any one of claims 1 to 7, characterized in that, The temperature control parameters are stored in the non-volatile memory of the onboard computer and can be updated in orbit as needed for different mission phases.

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