Multi-parameter coupling closed-loop control system based on high-temperature ultra-high-speed airflow scouring

Abstract

The invention relates to the technical field of parameter coupling, in particular to a multi-parameter coupling closed-loop control system based on high-temperature ultra-high-speed airflow scouring, which comprises a high-temperature ultra-high-speed airflow generation unit, an execution unit with multi-channel parallel adjustment capability and a control unit. The control unit realizes high-precision control on the airflow temperature and flow through cooperation of multi-channel differential adjustment, track feedforward compensation, partition online correction and a real-time feedback loop; temperature and fluid surface scouring deviation caused by spatial position change and regional difference is dynamically compensated in combination with a layered sensing and data fusion mechanism, so that the stability of temperature control and flow velocity control, the response speed and the space consistency are improved under the complex scouring working condition.

Description

Technical Field

[0001] This invention relates to the field of parameter coupling technology, specifically to a multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring. Background Technology

[0002] High-temperature airflow scouring tests are often used to simulate the thermo-mechanical coupling effect of high-temperature, high-speed airflow on the surface of materials or structures. These tests require high precision in controlling the airflow temperature, flow rate, and scouring attitude. However, existing high-temperature airflow test systems mostly employ a single control channel or a simple closed-loop control method, relying primarily on source-end parameter adjustment. This makes it difficult to simultaneously consider response speed and adjustment stability, and under conditions of rapid changes or significant disturbances, temperature overshoot or control lag problems are prone to occur.

[0003] Furthermore, when there is relative motion or attitude change between the airflow acceleration structure and the sample, the airflow scouring distance and incident angle continuously change, resulting in a significant deviation between the actual heating state of the sample surface and the set target. Existing technologies typically rely passively on feedback adjustment during the experiment, lacking proactive compensation for changes in system response caused by the motion trajectory, making it difficult to maintain consistent and repeatable temperature control during dynamic scouring.

[0004] Meanwhile, the high-temperature airflow has obvious spatial unevenness, and the heating intensity of different scouring areas varies greatly. Traditional control methods are often based on single-point or small amount of temperature measurement data for overall adjustment, which is difficult to reflect the true temperature characteristics of local areas. After long-term operation, the calibration parameters will become inaccurate due to system aging, environmental changes and other factors, which will further reduce the control accuracy.

[0005] Therefore, there is an urgent need for a high-temperature airflow scouring control technology that can integrate multi-source sensing information, take into account both feedforward and feedback control, and can adaptively adjust to different deviation conditions and different spatial regions, in order to solve the shortcomings of existing systems in terms of dynamic response capability, spatial temperature consistency and long-term stability.

[0006] To address this, a multi-parameter coupled closed-loop control system based on high-temperature, ultra-high-speed airflow scouring is proposed. Summary of the Invention

[0007] The purpose of this invention is to provide a multi-parameter coupled closed-loop control system based on high-temperature and ultra-high-speed airflow scouring. Through multi-channel differential speed regulation, trajectory feedforward compensation, zoned online correction and real-time feedback control, it achieves high-precision and stable control of the temperature and velocity of high-temperature and high-speed airflow under complex space and dynamic working conditions.

[0008] To achieve the above objectives, the present invention provides the following technical solution: A multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring includes: A high-temperature ultra-high-speed airflow generating unit is used to generate high-temperature airflow with controllable temperature and flow rate, and the high-temperature airflow is accelerated by an airflow acceleration structure and then sprayed onto the sample surface. An execution unit is used to adjust the operating parameters of the high-temperature ultra-high-speed airflow generating unit, including at least two independently controllable adjustment channels, forming a parallel multi-channel adjustment structure; The control unit is equipped with: The multi-channel differential speed adjustment module is used to determine the adjustment mode based on the amplitude of the airflow temperature deviation. When the deviation is less than the first threshold, only the channel with the faster response speed is activated for rapid compensation. When the deviation is between the first threshold and the second threshold, the multiple channels are adjusted in coordination according to the set weight. When the deviation is greater than the second threshold, the energy adjustment channel takes the lead. The trajectory feedforward compensation module is used to pre-calculate the required control parameters at each discrete point and generate a feedforward control sequence based on the relative position change trajectory between the airflow acceleration structure and the sample. During the test, the corresponding feedforward control quantity is retrieved and applied in advance based on the real-time position information. The zoned online correction module is used to divide the airflow coverage area into several sub-regions, establish the mapping relationship between the temperature and control parameters of each sub-region, and update the mapping correction coefficient according to the deviation between the measured value and the mapped predicted value during the experiment. The real-time feedback loop is used to perform closed-loop correction of the residual deviation after feedforward compensation. Its output is superimposed with the feedforward control quantity to form the final control command.

[0009] Preferably, the multi-channel differential speed adjustment module further includes a weight allocation unit, which is used for: Obtain the current airflow temperature deviation value and its rate of change; The current adjustment mode is determined based on the deviation value; In the multi-channel coordinated adjustment mode, the adjustment weight of each adjustment channel is dynamically adjusted according to the rate of change of deviation. The greater the rate of change of deviation, the higher the weight of the channel with faster response speed. The weighted control increment is output to the actuators of each regulation channel respectively.

[0010] Preferably, the trajectory feedforward compensation module includes: The trajectory discretization unit is used to discretize the preset relative position change trajectory at set time intervals and extract the position coordinates and attitude angle data at each discrete moment. The geometric relationship calculation unit is used to calculate the scouring distance and incident angle of the airflow outlet relative to the sample surface at each discrete moment, based on the installation relationship between the airflow acceleration structure and the sample. The parameter lookup unit is used to look up the control parameter values ​​required to achieve the target temperature under various scouring distances and incident angles based on pre-calibrated airflow characteristic data, and generate a feedforward control sequence table. The synchronous retrieval unit is used to perform time matching based on real-time location information during test execution and send the corresponding feedforward control quantity to the execution unit in advance.

[0011] Preferably, the online partition correction module includes: The regional division unit is used to divide the airflow coverage area into several sub-regions arranged in a matrix according to spatial location, and each sub-region is equipped with an independent temperature monitoring point; The initial calibration unit is used to control the temperature acquisition device to sequentially enter each sub-region to perform temperature sampling during the test initialization phase, and to establish an initial mapping table between the temperature sampling values ​​of each sub-region and the current control parameters. The deviation detection unit is used to extract temperature data of each sub-region during the test execution phase and compare the measured peak temperature of each sub-region when it is being washed with the mapped predicted value. The coefficient update unit is used to update the correction coefficient in the corresponding sub-region mapping table according to the deviation ratio when the deviation exceeds the set threshold. The updated correction coefficient is used for subsequent control output calculations in that region.

[0012] Preferably, the real-time feedback loop employs an incremental control algorithm, including: The deviation calculation unit is used to calculate the deviation between the measured value of the airflow temperature in the current sampling period and the target set value. The incremental calculation unit is used to calculate the control increment based on the current deviation, the deviation of the previous cycle, and the deviations of the previous two cycles. The output superposition unit is used to superimpose the control increment with the feedforward control quantity output by the trajectory feedforward compensation module to form the final control command sent to the execution unit. The parameters for the incremental calculation are pre-tuned based on the response characteristics of the airflow system.

[0013] Preferably, it also includes a hierarchical sensing unit, comprising: The source parameter layer is used to collect the air supply status and initial temperature at the airflow generation source. The transmission parameter layer includes an airflow velocity detection device located in the region between the airflow acceleration structure and the sample, used to collect the scouring velocity of the high-temperature airflow; The effect parameter layer includes an infrared thermal imager set in the test area to collect temperature distribution data of the eroded surface of the sample; Each layer of sensors is triggered to acquire data via a unified clock through a synchronous data acquisition card, and its output data serves as the input to the multi-channel differential speed control module and the real-time feedback loop.

[0014] Preferably, it further includes a data fusion unit, the data fusion unit being used for: Timestamp alignment is performed on the synchronously acquired data from the source parameter layer, transmission parameter layer, and effect parameter layer. Perform validity checks on the data at each layer, and mark and filter out abnormal data that exceeds the physically reasonable range; Based on the sample surface temperature distribution data of the effect parameter layer and the initial temperature data of the source parameter layer, calculate the temperature transfer characteristic parameters under the current working condition; The fused data is sent to the multi-channel differential speed control module and the partition online correction module.

[0015] Preferably, the high-temperature ultra-high-speed airflow generating unit adopts compressed air electric heating method, including an air compression unit, an air storage and drying unit, a precision pressure regulating valve, a preheater and a main heater connected in sequence; the airflow acceleration structure is a Laval nozzle, which is used to accelerate the high-temperature and high-pressure subsonic airflow of the future self-heating heater to supersonic speed; it also includes a vacuum back pressure subsystem, which is used to maintain a set low-pressure environment in the sample testing area to ensure the stable formation of supersonic airflow.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention introduces a multi-channel differential speed control mechanism, which adaptively switches between various control modes such as rapid compensation, coordinated regulation, and energy-driven regulation based on the amplitude and rate of change of airflow temperature deviation. This allows execution channels with different response characteristics to leverage their advantages within suitable operating ranges. In the small deviation stage, the high-speed channel is used to quickly suppress temperature fluctuations; in the medium deviation stage, smooth coordinated regulation is achieved through dynamic weight allocation; and in the large deviation stage, the energy regulation channel takes the lead, ensuring the system has sufficient regulation capability. This differential speed control strategy effectively reduces the risk of temperature overshoot and oscillation, enabling the high-temperature airflow to maintain higher steady-state accuracy and dynamic response consistency during scouring, thus improving control reliability under complex high-temperature test conditions.

[0017] 2. This invention constructs a two-layer spatial compensation mechanism consisting of trajectory feedforward compensation and zoned online correction. Before the experiment, the trajectory feedforward compensation module discretizes the motion trajectory between the airflow acceleration structure and the sample, and, combined with calibrated airflow characteristic data, generates control parameters corresponding to each position in advance, reducing system hysteresis errors caused by position changes at the source. Simultaneously, the zoned online correction module subdivides the airflow coverage area into multiple sub-regions, independently establishing a temperature-control parameter mapping for each region, and dynamically updating the correction coefficients based on measured deviations during the experiment. This mechanism can continuously suppress systematic errors in different spatial regions, enabling the sample surface to achieve more consistent and repeatable temperature control under large-scale scouring conditions.

[0018] 3. This invention establishes a layered sensing structure covering airflow generation, transmission, and effects by setting up source parameter layers, transmission parameter layers, and effect parameter layers. This is combined with a data fusion unit to achieve unified processing of multi-source information. Sensors at each layer acquire data synchronously under a unified clock, avoiding control misjudgments caused by asynchronous sampling in traditional systems. The data fusion unit performs time alignment, validity verification, and anomaly removal on the multi-layered data, and further extracts temperature transmission characteristic parameters, providing more physically consistent input for multi-channel differential speed regulation and zoned online correction. This multi-layered sensing and fusion mechanism allows the control system to move beyond relying solely on single-point temperature feedback and make decisions based on the complete airflow state chain, thereby improving the system's robustness and control reliability under complex operating conditions, sensor noise, or local disturbances. Attached Figure Description

[0019] Figure 1 A schematic diagram of a multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring provided by the present invention; Figure 2 This is a schematic diagram of the multi-parameter coupled closed-loop control method based on high-temperature ultra-high-speed airflow scouring provided by the present invention. Figure 3 A schematic diagram of the high-temperature, high-speed airflow transmission structure provided by the present invention; Figure 4 This is a schematic diagram of the trajectory feedforward compensation module provided by the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention.

[0021] Example 1: This embodiment provides a specific implementation method for a multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring.

[0022] like Figure 1 and Figure 2 As shown, the system in this embodiment includes a high-temperature ultra-high-speed airflow generating unit, an execution unit, and a control unit; the specific technical solution is as follows: the high-temperature ultra-high-speed airflow generating unit is used to generate a high-temperature airflow with controllable temperature and flow rate, and accelerates the high-temperature airflow through an airflow acceleration structure to spray it onto the sample surface; An execution unit is used to adjust the operating parameters of the high-temperature ultra-high-speed airflow generating unit, including at least two independently controllable adjustment channels, forming a parallel multi-channel adjustment structure; The control unit is equipped with: The multi-channel differential speed adjustment module is used to determine the adjustment mode based on the amplitude of the airflow temperature deviation. When the deviation is less than the first threshold, only the channel with the faster response speed is activated for rapid compensation. When the deviation is between the first threshold and the second threshold, the multiple channels are adjusted in coordination according to the set weight. When the deviation is greater than the second threshold, the energy adjustment channel takes the lead. The trajectory feedforward compensation module is used to pre-calculate the required control parameters at each discrete point and generate a feedforward control sequence based on the relative position change trajectory between the airflow acceleration structure and the sample. During the test, the corresponding feedforward control quantity is retrieved and applied in advance based on the real-time position information. The zoned online correction module is used to divide the airflow coverage area into several sub-regions, establish the mapping relationship between the temperature and control parameters of each sub-region, and update the mapping correction coefficient according to the deviation between the measured value and the mapped predicted value during the experiment. The real-time feedback loop is used to perform closed-loop correction of the residual deviation after feedforward compensation. Its output is superimposed with the feedforward control quantity to form the final control command.

[0023] The high-temperature, ultra-high-speed airflow generation unit generates high-temperature airflow with controllable temperature and flow rate. This high-temperature airflow is then accelerated by an airflow acceleration structure and sprayed onto the sample surface. A schematic diagram of the airflow transfer is shown below. Figure 3 The high-temperature, ultra-high-speed airflow generation unit employs compressed air electric heating, comprising an air compression unit, an air storage and drying unit, a precision pressure regulating valve, a preheater, and a main heater connected in sequence. The main heater is a tubular resistance heater equipped with an airflow sensing protection device, including a damper body, a mounting bracket, and an induction heating wire. The damper body is located within the main heater's air intake duct, and the damper blades can rotate between closed and open positions. The mounting bracket uses an L-shaped stainless steel frame, with a vertical fixing arm fixed to the inner wall of the duct, its windward side perpendicular to the airflow direction, located 80 mm to 120 mm downstream of the damper blades. The induction heating wire is a nickel-chromium alloy wire, arranged in a serpentine reciprocating pattern on the surface of the support arm at 5 mm intervals.

[0024] The operating process is as follows: When the damper is closed, there is no airflow. The induction heating wire is supplied with a current of 0.5 amps, and the temperature rises to 200 degrees Celsius within 30 seconds, with the resistance increasing from 1.3 ohms to 1.6 ohms. The control unit sets an upper resistance threshold of 1.55 ohms. If this value is exceeded, it is determined that there is no airflow, and the main heater is either powered off or its power is limited to below 10%. After the damper is opened, the airflow velocity in the duct is approximately 10 meters per second at the rated flow rate. The temperature of the induction heating wire drops from 200 degrees Celsius to 80 degrees Celsius within 10 seconds, and the resistance decreases from 1.6 ohms to 1.4 ohms. The control unit sets a lower resistance threshold of 1.45 ohms and a resistance change rate threshold of 0.02 ohms per second. When both are met, it is determined that there is stable airflow, and the power limitation of the main heater is lifted. During operation, the control unit monitors the resistance value 10 times per second. If the resistance exceeds the 1.55 ohm safety threshold, it immediately cuts off or reduces the power to below 10% within 0.2 seconds. This device achieves direct physical coupling between airflow state and resistance value by installing the induction heating wire on a bracket on the downstream airflow path of the damper blades, eliminating the need for a separate flow sensor.

[0025] The airflow acceleration structure is a Laval nozzle made of nickel-based high-temperature alloy, designed for Mach 1.5, with a throat diameter of 8 mm, an exit diameter of 12 mm, a contraction section length of 30 mm, and an expansion section length of 50 mm. The nozzle is connected to the pressure stabilizing chamber via a flange. The pressure stabilizing chamber has an inner diameter of 80 mm and a length of 150 mm. The flange positioning stop has an inner diameter tolerance of H7, ensuring a coaxiality deviation of less than 0.1 mm.

[0026] The vacuum back pressure subsystem includes a vacuum buffer tank, an electrically operated regulating valve, and a vacuum pump. The vacuum buffer tank has a volume of 1.0 cubic meters and a gas cooler with a heat exchange area of ​​0.5 square meters, cooling the gas to below 80 degrees Celsius. The vacuum pump has an ultimate vacuum of 100 Pa and a pumping speed of 15 cubic meters per minute. The control unit controls the back pressure within the range of 40 kPa to 80 kPa via the electrically operated regulating valve, with an accuracy of ±1 kPa.

[0027] The sample clamping and adjustment mechanism includes a high-speed rotating clamping mechanism and an adjustment platform. The spindle box is equipped with a spindle driven by a DC brushless motor. The ends of the spindle and the tailstock are respectively equipped with centers for clamping the sample. The two ends of the sample abut against the spindle center and the tailstock center, respectively. The sample is clamped by the axial thrust of the tailstock. The adjustment platform adopts ball screw drive and includes three linear motion axes: X, Y and Z. The clamping mechanism rotates and deflects along the three-axis motion mechanism and is driven by a stepper motor.

[0028] The actuator is used to adjust the operating parameters of the high-temperature and ultra-high-speed airflow generating unit, including at least two independently controllable adjustment channels, forming a parallel multi-channel adjustment structure.

[0029] In this embodiment, the execution unit includes a precision pressure regulating valve for adjusting the upstream gas source pressure and a heating controller for adjusting the heating power. The precision pressure regulating valve constitutes a pressure regulation channel, and the heating controller constitutes a temperature regulation channel; together, they form a parallel multi-channel regulation structure.

[0030] The precision pressure regulating valve adjusts the downstream pressure by changing the valve core opening, while the heating controller changes the actual power output of the heater by adjusting the conduction angle of the thyristor. Since the response time of the heating controller is significantly shorter than that of the precision pressure regulating valve, in the regulation strategy of the multi-channel differential speed control module, the heating controller channel is defined as the channel with the faster response speed, and the precision pressure regulating valve channel is defined as the energy regulation channel.

[0031] The control unit is the core of the system, equipped with a multi-channel differential speed adjustment module, a trajectory feedforward compensation module, a zoned online correction module, and a real-time feedback loop. The hardware carrier of the control unit is a programmable logic controller, which communicates with a host industrial computer via industrial Ethernet.

[0032] The multi-channel differential speed control module is used to determine the control mode based on the magnitude of the airflow temperature deviation.

[0033] A first threshold and a second threshold are preset as criteria for mode switching, wherein the first threshold is set to 2% of the target temperature and the second threshold is set to 8% of the target temperature, and the second threshold is greater than the first threshold.

[0034] When the absolute value of the temperature deviation is less than the first threshold, the system enters a small deviation adjustment mode. In this mode, only the heating controller channel with the fastest response speed is activated for rapid compensation. The heating controller adjusts its output power according to the direction of the deviation: if the measured temperature is lower than the target temperature, the heater power is increased to raise the airflow temperature; if the measured temperature is higher than the target temperature, the heater power is decreased to lower the airflow temperature. The increment of power adjustment is proportional to the temperature deviation, and the proportionality coefficient is pre-calibrated based on the system's temperature-power response characteristics, typically set to 60 watts of heater power change per degree Celsius deviation.

[0035] When the absolute value of the temperature deviation is between the first threshold and the second threshold, the dual-channel coordinated adjustment mode is entered. In this mode, the heating controller and the precision pressure regulating valve work together according to the set weight to eliminate the temperature deviation.

[0036] When the absolute value of the temperature deviation exceeds the second threshold, the system enters a large deviation adjustment mode. In this mode, the energy regulation channel (i.e., the pressure regulation channel) takes the lead, using a precision pressure regulating valve to adjust the upstream gas supply pressure to change the mass flow rate and total energy input of the airflow, quickly eliminating large temperature deviations. In this mode, the heating controller channel assists in the adjustment, with its adjustment weight set to 0.3.

[0037] Furthermore, the multi-channel differential speed adjustment module also includes a weight allocation unit, which is used for: Obtain the current airflow temperature deviation value and its rate of change; The current adjustment mode is determined based on the deviation value; In the multi-channel coordinated adjustment mode, the adjustment weight of each adjustment channel is dynamically adjusted according to the rate of change of deviation. The greater the rate of change of deviation, the higher the weight of the channel with faster response speed. The weighted control increment is output to the actuators of each regulation channel respectively.

[0038] Specifically, the multi-channel differential speed control module also includes a weight allocation unit, the working process of which is as follows: First, the weight allocation unit obtains the current airflow temperature deviation value from the hierarchical sensing unit and calculates the rate of change of the deviation. The method for calculating the rate of change of the deviation is: subtract the deviation value of the previous sampling period from the deviation value of the current sampling period, and then divide by the sampling period duration, which is 20 milliseconds.

[0039] Then, the weight allocation unit determines the current adjustment mode based on the absolute value of the deviation.

[0040] In the dual-channel coordinated adjustment mode, the weight allocation unit dynamically adjusts the adjustment weight of each adjustment channel according to the rate of deviation change. The weight allocation adopts a piecewise linear method, and the specific calculation steps are as follows: The first step is to set the first rate threshold to 5 degrees Celsius per second and the second rate threshold to 20 degrees Celsius per second. The second step is to set the weight of the heating controller channel to the basic weight value of 0.3 and the weight of the precision pressure regulating valve channel to 0.7 when the absolute value of the deviation change rate is lower than the first rate threshold. Third, when the absolute value of the deviation change rate is higher than the second rate threshold, the weight of the heating controller channel is set to the maximum weight value of 0.7, and the weight of the precision pressure regulating valve channel is 0.3. The fourth step involves calculating the weights using linear interpolation when the absolute value of the deviation rate falls between two rate thresholds. Specifically, this involves first calculating the degree of deviation from the first threshold, which is the absolute value of the deviation rate minus the first rate threshold. Then, the width of the rate threshold interval is calculated, which is the second rate threshold minus the first rate threshold, yielding 15 degrees Celsius per second. Next, the ratio of the rate deviation degree to the interval width is calculated, and this ratio is multiplied by the weight change range, 0.4, to obtain the weight increment. Finally, the weight for the heating controller channel is equal to the base weight value of 0.3 plus the weight increment, and the weight for the precision pressure regulating valve channel is 1 minus the weight for the heating controller channel.

[0041] In the fifth step, the weight allocation unit calculates the control increment of the two channels according to the determined weights, and outputs the weighted control increment to the heating controller and the precision pressure regulating valve.

[0042] Furthermore, the trajectory feedforward compensation module includes: The trajectory discretization unit is used to discretize the preset relative position change trajectory at set time intervals and extract the position coordinates and attitude angle data at each discrete moment. The geometric relationship calculation unit is used to calculate the scouring distance and incident angle of the airflow outlet relative to the sample surface at each discrete moment, based on the installation relationship between the airflow acceleration structure and the sample. The parameter lookup unit is used to look up the control parameter values ​​required to achieve the target temperature under various scouring distances and incident angles based on pre-calibrated airflow characteristic data, and generate a feedforward control sequence table. The synchronous retrieval unit is used to perform time matching based on real-time location information during test execution and send the corresponding feedforward control quantity to the execution unit in advance.

[0043] Specifically, the trajectory feedforward compensation module is used to pre-calculate the required values ​​of control parameters at each discrete point based on the trajectory of the relative position change between the airflow acceleration structure and the sample, and generate a feedforward control sequence.

[0044] like Figure 4 As shown, the trajectory feedforward compensation module includes a trajectory discretization unit, a geometric relationship calculation unit, a parameter lookup table unit, and a synchronous retrieval unit.

[0045] The trajectory discretization unit operates during the test preparation phase. It imports the motion trajectory program of the adjustment platform through the control software interface. This program defines the motion path of the sample during the test. The trajectory discretization unit discretizes the continuous trajectory at 20-millisecond intervals, the same time interval as the sampling period of the control system. For each discrete moment, the trajectory discretization unit extracts the position coordinates of each axis of the adjustment platform, forming a sequence of trajectory points, which is then stored.

[0046] The geometric relationship calculation unit performs geometric calculations for each point in the trajectory point sequence. Since the Laval nozzle is fixed at a specific position in the test chamber, the spatial coordinates of its nozzle center are known. Based on the position coordinates of each axis of the adjustment platform and the installation dimensions of the high-speed rotating clamping mechanism, the geometric relationship calculation unit calculates the spatial positional relationship between the center point of the test surface of the sample and the nozzle outlet center at each discrete moment. The geometric relationship calculation unit further calculates the scouring distance and incident angle of the airflow outlet relative to the sample surface at each discrete moment. The scouring distance is defined as the vertical distance from the nozzle center to the sample surface, ranging from 50 mm to 300 mm. The incident angle is defined as the angle between the airflow axis and the normal to the sample surface, ranging from 0 degrees to 60 degrees.

[0047] The parameter lookup unit calculates the scouring distance and incident angle output by the geometric relationship calculation unit and then looks up a pre-calibrated airflow characteristic data table. This airflow characteristic data table is established during the system debugging phase: the adjustment platform is moved to different positions, placing the sample at different scouring distances and incident angles. At each position, the upstream air supply pressure and heater power are adjusted, and the pressure and power combinations that bring the sample surface temperature to the target value are recorded. This forms a two-dimensional lookup table with scouring distance and incident angle as indexes and air supply pressure and heater power as values. The scouring distance is divided into 11 levels in 25 mm increments, and the incident angle is divided into 7 levels in 10 degree increments.

[0048] The parameter lookup unit uses bilinear interpolation to process intermediate values ​​not directly recorded in the table. The specific steps of bilinear interpolation are as follows: First, based on the scouring distance and incident angle to be queried, determine its four adjacent calibration points in the lookup table, denoted as point one, point two, point three, and point four. Then, along the scouring distance direction, perform linear interpolation between point one and point two to obtain the first interpolation result; perform linear interpolation between point three and point four to obtain the second interpolation result. Next, along the incident angle direction, perform linear interpolation again between the first and second interpolation results to obtain the final control parameter values. After the lookup is completed, the parameter lookup unit arranges the gas supply pressure demand values ​​and heater power demand values ​​corresponding to each discrete time point in chronological order, generates a feedforward control sequence table, and stores it in the control unit's memory.

[0049] The synchronization retrieval unit operates during the test execution phase. It reads the current pose information fed back by the control platform controller in real time and matches it with the time stamps in the feedforward control sequence list. To compensate for the actuator's response delay, the synchronization retrieval unit sends the feedforward control quantity corresponding to a specific discrete point to the actuator 100 milliseconds before the control platform reaches that point. The value of this lead time is determined based on the actuator's response characteristics and is not less than the response time of the precision pressure regulating valve.

[0050] Furthermore, the online partition correction module includes: The regional division unit is used to divide the airflow coverage area into several sub-regions arranged in a matrix according to spatial location, and each sub-region is equipped with an independent temperature monitoring point; The initial calibration unit is used to control the temperature acquisition device to sequentially enter each sub-region to perform temperature sampling during the test initialization phase, and to establish an initial mapping table between the temperature sampling values ​​of each sub-region and the current control parameters. The deviation detection unit is used to extract temperature data of each sub-region during the test execution phase and compare the measured peak temperature of each sub-region when it is being washed with the mapped predicted value. The coefficient update unit is used to update the correction coefficient in the corresponding sub-region mapping table according to the deviation ratio when the deviation exceeds the set threshold. The updated correction coefficient is used for subsequent control output calculations in that region.

[0051] The zoned online correction module is used to divide the airflow coverage area into several sub-regions, establish the mapping relationship between the temperature and control parameters of each sub-region, and update the mapping correction coefficient according to the deviation between the measured value and the mapped predicted value during the experiment.

[0052] The online zoning correction module includes a region division unit, an initial calibration unit, a deviation detection unit, and a coefficient update unit.

[0053] The region division unit operates during the system configuration phase. Based on the spatial range covered by the platform's movement trajectory, the unit divides the area potentially affected by the airflow into several sub-regions according to their spatial location. These sub-regions are arranged in a matrix; in this embodiment, they are divided into 6 rows and 8 columns, totaling 48 sub-regions, each measuring 20 mm by 20 mm. Each sub-region corresponds to a fixed pixel area within the infrared thermal imager's field of view. The region division unit records and stores the boundary coordinates of each sub-region.

[0054] The initial calibration unit operates during the initialization phase of the experiment. The control software instructs the adjustment platform to move the sample to the calibration start position, and instructs the precision pressure regulating valve and heating controller to adjust the gas supply pressure and heater power to the standard set values. The gas supply heating system and vacuum back pressure system are then activated. Calibration begins after the gas flow temperature and back pressure stabilize. The stability criterion is that the parameter fluctuation is less than 2% of the set value within 5 consecutive seconds. Subsequently, the initial calibration unit instructs the adjustment platform to move the sample sequentially to the corresponding position in each sub-region, pausing in each sub-region for 3 seconds to complete temperature sampling. The initial calibration unit records the average temperature sample value of each sub-region and associates it with the current gas supply pressure, heater power, sample position, and other control parameters to establish an initial mapping table for each sub-region. Each record in the mapping table includes the sub-region number, temperature sample value, corresponding control parameter combination, and correction coefficient field. The initial value of the correction coefficient is set to 1.0.

[0055] The deviation detection unit operates continuously during the test execution phase. Based on the current orientation of the adjustment platform, the unit determines the sub-region number of the sample being scoured, marking this region as the current scour area and the remaining regions as non-current scour areas. For the current scour area, the deviation detection unit extracts the real-time temperature value from the infrared thermal imager data and records the peak temperature during the scour process. After a sub-region completes one scour cycle, the deviation detection unit calls the mapping table for that region, calculates the predicted mapped temperature value based on the current control parameters and correction coefficients, and compares it with the measured peak temperature of that region to calculate the temperature deviation value.

[0056] The coefficient update unit determines whether to update the mapping table based on the deviation value output by the deviation detection unit. When the absolute value of the temperature deviation in a sub-region exceeds 3% of the target temperature, the coefficient update unit initiates the update process. The update method is as follows: the new correction coefficient equals the original correction coefficient multiplied by the ratio of the measured temperature to the predicted temperature. The updated correction coefficient is limited to the range of 0.8 to 1.2 to prevent outliers. The coefficient update unit also sets an update cycle limit: the update interval for the correction coefficient in the same sub-region is no less than 5 sampling periods, i.e., 100 milliseconds, to avoid frequent updates that could cause system oscillations.

[0057] Furthermore, the real-time feedback loop employs an incremental control algorithm, including: The deviation calculation unit is used to calculate the deviation between the measured value of the airflow temperature in the current sampling period and the target set value. The incremental calculation unit is used to calculate the control increment based on the current deviation, the deviation of the previous cycle, and the deviations of the previous two cycles. The output superposition unit is used to superimpose the control increment with the feedforward control quantity output by the trajectory feedforward compensation module to form the final control command sent to the execution unit. The parameters for the incremental calculation are pre-tuned based on the response characteristics of the airflow system.

[0058] Specifically, the real-time feedback loop is used to perform closed-loop correction on the residual deviation after feedforward compensation, and its output is superimposed with the feedforward control quantity to form the final control command.

[0059] The real-time feedback loop adopts an incremental control algorithm, including a deviation calculation unit, an incremental calculation unit, and an output superposition unit.

[0060] The deviation calculation unit performs a calculation once per sampling period. It obtains the measured airflow temperature value for the current sampling period from the hierarchical sensing unit, reads the target temperature setpoint from the system parameter storage area, and subtracts the two to obtain the current deviation value. The deviation calculation unit also maintains a deviation history buffer to store the deviation values ​​for the most recent three sampling periods, which are used by the incremental calculation unit.

[0061] The incremental calculation unit calculates the control increment for the current cycle based on historical deviation data. The unit reads the current deviation value, the deviation value of the previous cycle, and the deviation values ​​of the previous two cycles from the deviation history buffer. The incremental calculation unit calculates the control increment according to the following steps: The first step is to calculate the proportional gain component, which is equal to the difference between the current deviation value and the deviation value of the previous cycle, multiplied by the proportional gain parameter.

[0062] The second step is to calculate the integral action component, which is equal to the current deviation value multiplied by the integral action parameter.

[0063] The third step is to calculate the differential action component, which is equal to the current deviation value minus twice the deviation value of the previous period plus the deviation values ​​of the previous two periods, to obtain the second-order deviation change. This change is then multiplied by the differential action parameter.

[0064] The fourth step is to add the proportional action component, integral action component, and differential action component together to obtain the control increment for this cycle.

[0065] The tuning parameters are determined experimentally during the system commissioning phase based on the response characteristics of the airflow system. The tuning method employs the step response method: a 10% step change in supply pressure is applied under stable system operation, and the airflow temperature response curve is recorded. Based on the delay time, rise time, and overshoot of the response curve, the proportional gain parameter, integral time parameter, and derivative time parameter are determined according to the Ziegler-Nichols engineering tuning rules. In this embodiment, the proportional gain parameter is set to 0.8 after tuning. The integral action parameter is calculated by multiplying the proportional gain parameter by the sampling period and then dividing by the integral time parameter. The derivative action parameter is calculated by multiplying the proportional gain parameter by the derivative time parameter and then dividing by the sampling period.

[0066] The output superposition unit superimposes the control increment output by the incremental calculation unit with the feedforward control quantity output by the trajectory feedforward compensation module. The superposition method is as follows: the feedforward control quantity is used as the reference value, and the control increment is superimposed on the reference value to form the final control command. The final control command is sent to the execution unit after being limited. The limiting range is 5% to 95% of the actuator range to ensure that the control command does not exceed the working range of the actuator.

[0067] Furthermore, it also includes a hierarchical sensing unit, comprising: The source parameter layer is used to collect the air supply status and initial temperature at the airflow generation source. The transmission parameter layer includes an airflow velocity detection device located in the region between the airflow acceleration structure and the sample, used to collect the scouring velocity of the high-temperature airflow; The effect parameter layer includes an infrared thermal imager set in the test area to collect temperature distribution data of the eroded surface of the sample; Each layer of sensors is triggered to acquire data via a unified clock through a synchronous data acquisition card, and its output data serves as the input to the multi-channel differential speed control module and the real-time feedback loop.

[0068] like Figure 1 As shown, the system also includes a hierarchical sensing unit, which divides the sensor into three levels: source parameter layer, transmission parameter layer and effect parameter layer, according to the physical order of energy transfer during the high-temperature airflow scouring process.

[0069] The source-end parameter layer is used to collect the gas supply status and initial temperature at the gas generation source. In this embodiment, the source-end parameter layer includes: a gas supply pressure sensor installed at the outlet of the gas storage tank, with a range of 0 MPa to 1.5 MPa and an accuracy of 0.5% of the full scale; and a K-type thermocouple installed at the outlet of the main heater, used to collect the initial temperature data of the heated gas flow, with a temperature measurement range of 0 degrees Celsius to 600 degrees Celsius and an accuracy of ±2 degrees Celsius.

[0070] The transmission parameter layer includes an airflow velocity detection device positioned between the airflow acceleration structure and the sample to collect the scouring velocity of the high-temperature airflow. In this embodiment, the airflow velocity detection device employs a differential pressure velocity sensor based on the Pitot tube principle, positioned at an edge 50 mm from the Laval nozzle exit axis. The airflow velocity is calculated by measuring the difference between the gas flow pressure and static pressure, with a measurement range of 0 m / s to 600 m / s. The correlation coefficient between the velocity at this location and the core velocity at the nozzle exit is 0.65, determined through pre-calibration.

[0071] The effect parameter layer includes an infrared thermal imager set in the test area to collect temperature distribution data of the sample's eroded surface. The infrared thermal imager is set at the top of the test chamber, with its lens facing the sample surface. The resolution is 640 pixels by 480 pixels, the frame rate is 30 frames per second, the temperature measurement range is 0 degrees Celsius to 1200 degrees Celsius, and the temperature measurement accuracy is ±2 degrees Celsius or 2% of the reading, whichever is greater.

[0072] Each layer of sensors is connected to a synchronous data acquisition card via signal cables. The synchronous data acquisition card has a built-in unified clock generator that simultaneously sends trigger signals to each channel at the start of each sampling period, ensuring that each sensor completes data acquisition at the same time. The sampling period is set to 20 milliseconds. The acquisition card packages the data from each channel and sends it to the control unit via an internal bus, serving as input data for the multi-channel differential speed control module and the real-time feedback loop.

[0073] Furthermore, it also includes a data fusion unit, which is used for: Timestamp alignment is performed on the synchronously acquired data from the source parameter layer, transmission parameter layer, and effect parameter layer. Perform validity checks on the data at each layer, and mark and filter out abnormal data that exceeds the physically reasonable range; Based on the sample surface temperature distribution data of the effect parameter layer and the initial temperature data of the source parameter layer, calculate the temperature transfer characteristic parameters under the current working condition; The fused data is sent to the multi-channel differential speed control module and the partition online correction module.

[0074] Specifically, the system also includes a data fusion unit. This data fusion unit is located between the hierarchical sensing unit and the control module, and performs preprocessing and fusion of data from multiple layers of sensors.

[0075] The data fusion unit first performs timestamp alignment processing on the synchronously acquired data from the source parameter layer, transmission parameter layer, and effect parameter layer. Since the synchronous data acquisition card has achieved hardware-level synchronous triggering, the acquisition times of data from each channel are basically consistent, but the signal transmission delays of different sensors vary. The signal delay of a K-type thermocouple is approximately 5 milliseconds, the pressure sensor signal delay is approximately 2 milliseconds, and the infrared thermal imager signal delay is approximately 10 milliseconds. The data fusion unit compensates and corrects the data timestamps based on the pre-calibrated transmission delay values ​​of each channel, ensuring that the data used in subsequent calculations reflects the system state at the same physical moment.

[0076] The data fusion unit then performs validity checks on the data from each layer, which include range checks and rate of change checks. The range check compares each sensor's data with preset physical acceptable ranges. The acceptable range for temperature data is 0°C to 600°C, and for pressure data, it is 0 MPa to 1 MPa. Data outside these ranges is marked as abnormal. The rate of change check calculates the magnitude of change between two adjacent sampling periods. Data with a temperature change rate exceeding 100°C per second or a pressure change rate exceeding 0.2 MPa per second are marked as abnormal. For data marked as abnormal, the data fusion unit replaces it with valid data from the previous period and sends an anomaly alarm to the control software.

[0077] The data fusion unit further calculates the temperature transfer characteristic parameter under the current operating condition based on the sample surface temperature distribution data of the effect parameter layer and the initial temperature data of the source parameter layer. This parameter is the ratio of the temperature value of the corresponding area on the sample surface to the heater outlet temperature value. Under normal operating conditions, the typical value range of this parameter is 0.4 to 0.7, reflecting the relative effectiveness of heat transfer from the airflow source to the sample surface. When this parameter is below 0.3 or above 0.8, it indicates an abnormal airflow condition or sensor malfunction, and the data fusion unit sends a warning message to the control software.

[0078] The fused data, after timestamp alignment, validity checks, and characteristic parameter calculations, is sent to the multi-channel differential control module and the zone online correction module as input for control calculations.

[0079] Example 2: This embodiment illustrates the specific execution flow of the multi-parameter coupled closed-loop control method based on the system described in Embodiment 1.

[0080] The control method includes initialization and calibration steps, feedforward sequence generation steps, composite control execution steps, and online calibration steps. The airflow coverage area is divided into several sub-regions, and the airflow generation unit performs temperature sampling in each sub-region to establish an initial mapping relationship between the temperature of each sub-region and the control parameters.

[0081] First, the region division unit divides the sample surface and the surrounding airflow coverage area into several sub-regions arranged in a matrix. The number and size of the sub-regions are determined according to the effective scouring diameter of the airflow jet. In this embodiment, it is divided into 48 sub-regions in 6 rows and 8 columns, with each sub-region measuring 20 mm by 20 mm.

[0082] Then, the airflow generation unit is started and stabilized, and the air supply heating system and vacuum back pressure system are started. After the airflow temperature and back pressure stabilize, calibration begins. The stability criterion is that the parameter fluctuation is less than 2% of the set value within 5 consecutive seconds. Before starting the heating system, it is first confirmed that the damper body is in the open position. The control unit confirms that there is a stable airflow by monitoring the resistance value of the induction heating wire of the airflow sensing protection device before releasing the power limit on the main heater and allowing the heater to work at the set power.

[0083] Subsequently, the control and adjustment platform moves the sample sequentially to the corresponding position in each sub-region, and performs temperature sampling in each sub-region under standard control parameters. Each sub-region is paused for 3 seconds to complete temperature sampling, and the correspondence between the average temperature of each sub-region and the current control parameters is recorded to form an initial mapping table.

[0084] The relative position change trajectory between the airflow acceleration structure and the sample is discretized, and the required values ​​of the control parameters corresponding to each discrete position state are calculated to generate a feedforward control sequence.

[0085] The trajectory discretization unit discretizes the preset motion trajectory at 20-millisecond intervals and extracts the position coordinates at each discrete moment; the position data comes from the motion trajectory program of the adjustment platform.

[0086] The geometric relationship calculation unit calculates the scouring distance and incident angle of the airflow outlet relative to the sample surface at each discrete moment.

[0087] The parameter lookup unit uses a bilinear interpolation method to look up the control parameter values ​​required to achieve the target temperature under various scouring distances and incident angles based on a pre-calibrated airflow characteristic data table, generates a feedforward control sequence table, and stores it in the control unit's memory.

[0088] During test execution, the feedforward control quantity is retrieved based on real-time location information and applied to the execution unit in advance. At the same time, the residual deviation is corrected in a closed loop by the real-time feedback loop, and the adjustment weight is dynamically allocated among multiple adjustment channels according to the temperature deviation amplitude.

[0089] After the experiment begins, the synchronous retrieval unit retrieves the corresponding feedforward control quantity from the feedforward control sequence list based on the real-time position information. To compensate for the response delay of the actuator, the feedforward control quantity is applied to the actuator 100 milliseconds in advance.

[0090] Meanwhile, the real-time feedback loop collects the current measured airflow temperature value every 20 milliseconds, calculates the deviation from the target value, and uses an incremental control algorithm to calculate the control increment. The control increment is superimposed with the feedforward control quantity to form the final control command, which is then sent to the execution unit after amplitude limiting.

[0091] The multi-channel differential speed control module determines the adjustment mode based on the temperature deviation amplitude. When the deviation is less than the first threshold (2% of the target temperature), only the heating controller channel with the fastest response time is activated for rapid compensation. When the deviation is between the first and second thresholds (8% of the target temperature), multiple channels adjust collaboratively according to their weights. The weights are dynamically allocated based on the rate of deviation change; the greater the rate of deviation change, the higher the weight of the faster channel. When the deviation exceeds the second threshold, the energy regulation channel (i.e., the pressure regulation channel) takes the lead in making large-scale adjustments.

[0092] Periodically compare the measured temperature of each sub-region with the mapped predicted value, and update the mapping correction coefficient according to the deviation.

[0093] The deviation detection unit continuously monitors the measured temperature of each sub-region during the test. After each sub-region completes a flush, the measured peak temperature of that region is compared with the mapped predicted value.

[0094] When the temperature deviation in a sub-region exceeds 3% of the target temperature, the coefficient update unit updates the correction coefficient in the mapping table for that region proportionally to the deviation. The new correction coefficient is equal to the original correction coefficient multiplied by the ratio of the measured temperature to the predicted temperature, and is limited to a range of 0.8 to 1.2. The updated correction coefficient is immediately used for subsequent control calculations in that region, enabling continuous optimization of the airflow temperature field control.

[0095] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring, characterized in that, include: A high-temperature ultra-high-speed airflow generating unit is used to generate high-temperature airflow with controllable temperature and flow rate, and the high-temperature airflow is accelerated by an airflow acceleration structure and then sprayed onto the sample surface. An execution unit is used to adjust the operating parameters of the high-temperature ultra-high-speed airflow generating unit, including at least two independently controllable adjustment channels, forming a parallel multi-channel adjustment structure; The control unit is equipped with: The multi-channel differential speed adjustment module is used to determine the adjustment mode based on the amplitude of the airflow temperature deviation. When the deviation is less than the first threshold, only the channel with the faster response speed is activated for rapid compensation. When the deviation is between the first threshold and the second threshold, the multiple channels are adjusted in coordination according to the set weight. When the deviation is greater than the second threshold, the energy adjustment channel takes the lead. The trajectory feedforward compensation module is used to pre-calculate the required control parameters at each discrete point and generate a feedforward control sequence based on the relative position change trajectory between the airflow acceleration structure and the sample. During the test, the corresponding feedforward control quantity is retrieved and applied in advance based on the real-time position information. The zoned online correction module is used to divide the airflow coverage area into several sub-regions, establish the mapping relationship between the temperature and control parameters of each sub-region, and update the mapping correction coefficient according to the deviation between the measured value and the mapped predicted value during the experiment. The real-time feedback loop is used to perform closed-loop correction of the residual deviation after feedforward compensation. Its output is superimposed with the feedforward control quantity to form the final control command.

2. The multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring according to claim 1, characterized in that, The multi-channel differential speed adjustment module further includes a weight allocation unit, which is used for: Obtain the current airflow temperature deviation value and its rate of change; The current adjustment mode is determined based on the deviation value; In the multi-channel coordinated adjustment mode, the adjustment weight of each adjustment channel is dynamically adjusted according to the rate of change of deviation. The greater the rate of change of deviation, the higher the weight of the channel with faster response speed. The weighted control increment is output to the actuators of each regulation channel respectively.

3. The multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring according to claim 1, characterized in that, The trajectory feedforward compensation module includes: The trajectory discretization unit is used to discretize the preset relative position change trajectory at set time intervals and extract the position coordinates and attitude angle data at each discrete moment. The geometric relationship calculation unit is used to calculate the scouring distance and incident angle of the airflow outlet relative to the sample surface at each discrete moment, based on the installation relationship between the airflow acceleration structure and the sample. The parameter lookup unit is used to look up the control parameter values ​​required to achieve the target temperature under various scouring distances and incident angles based on pre-calibrated airflow characteristic data, and generate a feedforward control sequence table. The synchronous retrieval unit is used to perform time matching based on real-time location information during test execution and send the corresponding feedforward control quantity to the execution unit in advance.

4. The multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring according to claim 1, characterized in that, The online partition correction module includes: The regional division unit is used to divide the airflow coverage area into several sub-regions arranged in a matrix according to spatial location, and each sub-region is equipped with an independent temperature monitoring point; The initial calibration unit is used to control the temperature acquisition device to sequentially enter each sub-region to perform temperature sampling during the test initialization phase, and to establish an initial mapping table between the temperature sampling values ​​of each sub-region and the current control parameters. The deviation detection unit is used to extract temperature data of each sub-region during the test execution phase and compare the measured peak temperature of each sub-region when it is being washed with the mapped predicted value. The coefficient update unit is used to update the correction coefficient in the corresponding sub-region mapping table according to the deviation ratio when the deviation exceeds the set threshold. The updated correction coefficient is used for subsequent control output calculations in that region.

5. A multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring according to claim 1, characterized in that, The real-time feedback loop employs an incremental control algorithm, including: The deviation calculation unit is used to calculate the deviation between the measured value of the airflow temperature in the current sampling period and the target set value. The incremental calculation unit is used to calculate the control increment based on the current deviation, the deviation of the previous cycle, and the deviations of the previous two cycles. The output superposition unit is used to superimpose the control increment with the feedforward control quantity output by the trajectory feedforward compensation module to form the final control command sent to the execution unit. The parameters for the incremental calculation are pre-tuned based on the response characteristics of the airflow system.

6. A multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring according to claim 1, characterized in that, It also includes a hierarchical sensing unit, including: The source parameter layer is used to collect the air supply status and initial temperature at the airflow generation source. The transmission parameter layer includes an airflow velocity detection device located in the region between the airflow acceleration structure and the sample, used to collect the scouring velocity of the high-temperature airflow; The effect parameter layer includes an infrared thermal imager set in the test area to collect temperature distribution data of the eroded surface of the sample; Each layer of sensors is triggered to acquire data via a unified clock through a synchronous data acquisition card, and its output data serves as the input to the multi-channel differential speed control module and the real-time feedback loop.

7. A multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring according to claim 6, characterized in that, It also includes a data fusion unit, which is used for: Timestamp alignment is performed on the synchronously acquired data from the source parameter layer, transmission parameter layer, and effect parameter layer. Perform validity checks on the data at each layer, and mark and filter out abnormal data that exceeds the physically reasonable range; Based on the sample surface temperature distribution data of the effect parameter layer and the initial temperature data of the source parameter layer, calculate the temperature transfer characteristic parameters under the current working condition; The fused data is sent to the multi-channel differential speed control module and the partition online correction module.

8. A multi-parameter coupled closed-loop control system based on high-temperature ultra-high-speed airflow scouring according to claim 1, characterized in that, The high-temperature ultra-high-speed airflow generation unit adopts compressed air electric heating and includes an air compression unit, an air storage and drying unit, a precision pressure regulating valve, a preheater and a main heater connected in sequence; the airflow acceleration structure is a Laval nozzle, which is used to accelerate the high-temperature and high-pressure subsonic airflow of the future autonomous heater to supersonic speed; it also includes a vacuum back pressure subsystem, which is used to maintain a set low-pressure environment in the sample testing area to ensure the stable formation of supersonic airflow.

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