Hypersonic flame spraying closed-loop control system

Abstract

The invention relates to the technical field of hypersonic flame spraying control, in particular to a hypersonic flame spraying closed-loop control system, which comprises a hypersonic flame particle parameter acquisition module for acquiring a particle rate sequence and a flame flow temperature sequence of each time period in a hypersonic flame spraying process; the hypersonic flame particle parameter analysis module is used for obtaining flame flow fluctuation quantity of each extreme point in the particle rate sequence corresponding to each time period; the flame velocity temperature influence quantity of the supersonic flame in each time period is obtained; obtaining a filtering parameter closed-loop regulating variable of high velocity oxy-fuel spraying control; and the hypersonic flame spraying control module is used for adjusting filtering parameters in IMC control of each time period according to the difference between the filtering parameter closed-loop adjusting quantity of each time period and the filtering parameter closed-loop adjusting quantity of the adjacent previous time period. The control quality and efficiency of high velocity oxy-fuel spraying are improved, and the spraying process is more accurate and stable.

Description

Technical Field

[0001] The present application relates to the technical field of supersonic flame spraying control, and in particular to a supersonic flame spraying closed-loop control system. Background Art

[0002] High velocity oxygen fuel (HVOF) is an advanced surface treatment technology that sprays powder materials onto substrates through supersonic jets to form a dense and uniform coating. This technology can produce wear-resistant and corrosion-resistant coatings and is widely used in aerospace, petrochemical and other fields. Since HVOF coatings are tightly bonded to the substrate, have low stress and high uniformity, can significantly improve component performance and extend service life, they are often used for the coating of Cr3C2 coatings on blades in ultra-supercritical steam turbine units.

[0003] The prior art collects various parameters of particles in the supersonic flame and inputs the parameters into an internal model control (IMC) controller to adjust the oxygen mass flow rate, kerosene mass flow rate, carrier gas mass flow rate and powder feeding amount of the supersonic flame, thereby achieving closed-loop control of the supersonic flame. However, since the temperature and speed of the particles are not constant during the spraying process of the supersonic flame, the IMC controller with a fixed filter order has a poor control effect on the supersonic flame, resulting in poor spraying quality of ultra-supercritical turbine blades. Summary of the invention

[0004] In view of the above, it is necessary to provide a supersonic flame spraying closed-loop control system to solve the problem of the influence of the IMC controller with a fixed filter order on the quality of supersonic flame spraying ultra-supercritical steam turbine blades.

[0005] One embodiment of the present application provides a supersonic flame spraying closed-loop control system, the system comprising:

[0006] The supersonic flame particle parameter acquisition module is used to record the sequence composed of all velocity parameters in each time period as a particle velocity sequence and the sequence composed of all temperature parameters in each time period as a flame flow temperature sequence at the same position during the supersonic flame spraying process;

[0007] The supersonic flame particle parameter analysis module is used to obtain the flame flow fluctuation amount of each extreme point in the particle rate sequence corresponding to each time period according to the distribution of extreme points in the particle rate sequence corresponding to each time period, combined with the time interval between the extreme point and its adjacent extreme point; according to the numerical difference distribution of the extreme points in the flame temperature sequence corresponding to each time period, combined with the distribution of the flame flow fluctuation amount, obtain the flame flow velocity temperature influence amount of the supersonic flame in each time period; according to the correlation between the temperature parameter and the speed parameter in each time period, combined with the flame flow velocity temperature influence amount, obtain the closed-loop adjustment amount of the filter parameter of the supersonic flame spraying control;

[0008] The supersonic flame spraying control module is used to adjust the filter parameters in the IMC control of each time period according to the difference between the closed-loop adjustment amount of the filter parameters in each time period and its adjacent previous time period.

[0009] The specific steps of obtaining the flame flow fluctuation amount of each extreme point in the particle velocity sequence corresponding to each time period include:

[0010] Calculate the absolute value of the difference between each extreme point in the particle rate sequence in each time period and the first preset value;

[0011] Obtain the mean of the time intervals between each extreme point and all adjacent extreme points in the particle rate sequence corresponding to each time period;

[0012] Based on the absolute value of the difference and the mean, the flame flow fluctuation amount of each extreme point in the particle rate sequence corresponding to each time period is obtained; wherein the flame flow fluctuation amount is positively correlated with the absolute value of the difference and negatively correlated with the mean.

[0013] The flame flow fluctuation amount is specifically the ratio of the absolute value of the difference to the mean value.

[0014] The process of obtaining the flame velocity temperature influence variable of the supersonic flame in each time period is as follows:

[0015] According to the differences between adjacent extreme value points in the flame flow temperature sequence corresponding to each time period, the temperature wave variation sequence of each time period is obtained;

[0016] According to the difference characteristics between the elements in the temperature wave change sequence and the number of elements, the flame flow wave degree corresponding to the flame flow temperature sequence in each time period is obtained;

[0017] The mean value of the flame flow fluctuation of all extreme points in the particle velocity sequence corresponding to each time period is obtained and fused with the flame flow wave intensity to obtain the flame flow velocity temperature influence of the supersonic flame.

[0018] The temperature wave variation sequence of each time period is obtained as follows:

[0019] The first-order difference sequence of all extreme points of the flame flow temperature sequence is obtained, and the absolute value of each element in the first-order difference sequence is taken to obtain the temperature wave change sequence of each time period.

[0020] The flame flow wave degrees of the flame flow temperature sequence corresponding to each time period are specifically:

[0021] The cumulative sum of the differences between all even-numbered elements in the temperature wave variation sequence and their previous odd-numbered elements is calculated, and then merged with the number of elements in the temperature variation sequence corresponding to each time period to obtain the flame flow wave degree of the flame flow temperature sequence corresponding to each time period.

[0022] The flame flow wave degree is specifically the product of the cumulative sum and the number of elements.

[0023] The flame velocity-temperature influence variable is specifically a normalized value of the product of the flame flow fluctuation mean and the flame flow waviness.

[0024] The closed-loop adjustment amount of the filtering parameter for supersonic flame spraying control is obtained as follows:

[0025] The correlation coefficients of all velocity parameters and all temperature parameters in each time period are obtained, the sum of the second preset value and the correlation coefficient is calculated, and then multiplied by the flame velocity temperature influence variable to obtain the closed-loop adjustment amount of the filter parameter of the supersonic flame spraying control in each time period, wherein the second preset value is a value greater than or equal to 1.

[0026] The filter parameters in the IMC control of each time period are adjusted, and the formula is expressed as follows: In the formula, αr represents the filter parameter adjustment value of IMC control in each time period; Fr′ represents the closed-loop adjustment amount of the filter parameter in the previous time period adjacent to each time period; Fr represents the closed-loop adjustment amount of the filter parameter in each time period; α′ represents the filter parameter of IMC control in the previous time period adjacent to each time period. The present application has at least the following beneficial effects:

[0027] The present application is based on the closed-loop control system of supersonic flame spraying based on infrared spectroscopy technology and closed-loop control theory. The dynamic characteristics of the flame spraying process are characterized by real-time analysis of the temperature and velocity data of particles in the flame; the stability of the particle velocity change in the flame spraying process is characterized by calculating the flame flow fluctuation; combined with the calculation of the flame flow velocity temperature influence, it is used to evaluate the relationship between the particle state and the coating quality in the flame spraying process; further obtain the closed-loop adjustment amount of the filter parameter of the supersonic flame spraying control, thereby determining the optimal control parameters of the particle temperature and velocity in the flame spraying process, and calculating the optimization direction of the current spraying process through real-time adjustment of the control parameters, so as to realize the intelligent control of the supersonic flame spraying process, thereby improving the control quality and efficiency of the flame spraying under various operating conditions. Therefore, the present application effectively solves the problem of poor control effect caused by the instability of particle temperature and velocity in the existing supersonic flame spraying control method. By improving the control strategy, the control quality and efficiency of supersonic flame spraying can be significantly improved, so that the spraying process can be more accurate and stable. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A block diagram of a closed-loop control system for supersonic flame spraying provided for this application;

[0029] Figure 2 A specific flow chart for adjusting the filtering parameters in IMC control provided in this application. DETAILED DESCRIPTION

[0030] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example" and the like are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "or", "for example" and the like is intended to present related concepts in a concrete manner.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the present application. The terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application.

[0032] It should also be noted that the terms "first" and "second" in this application and its drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The method disclosed in the embodiments of the present application or the method shown in the flow chart includes one or more steps for implementing the method. Without departing from the scope of protection of this application, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.

[0033] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0034] The specific scheme of the supersonic flame spraying closed-loop control system provided by the present application is described in detail below with reference to the accompanying drawings.

[0035] See also Figure 1 , which shows a block diagram of a supersonic flame spraying closed-loop control system provided by an embodiment of the present application, the system includes: a supersonic flame particle parameter acquisition module, a supersonic flame particle parameter analysis module, and a supersonic flame spraying control module.

[0036] The present application embodiment first proposes a supersonic flame spraying closed-loop control system, which is applied to the field of supersonic flame spraying control technology. The system includes:

[0037] Supersonic flame particle parameter acquisition module: At the same position in the supersonic flame spraying process, the sequence composed of all velocity parameters in each time period is recorded as a particle velocity sequence, and the sequence composed of all temperature parameters in each time period is recorded as a flame flow temperature sequence.

[0038] In the supersonic flame spraying process, a temperature sensor based on infrared spectroscopy technology is used to collect the temperature parameters of particles in the supersonic flame, and a double grating particle velocity sensor based on a high-speed camera is used to collect the velocity parameters of the particles. In this embodiment, the length of the acquisition time period is set to 1s, and the acquisition frequency is set to 1kHz. The implementer can adjust the length of the time period and the acquisition frequency according to the actual situation, and this application does not limit this.

[0039] The sequence consisting of all velocity parameters obtained at the same position in each time period is recorded as a particle velocity sequence; the sequence consisting of all temperature parameters obtained at the same position in each time period is recorded as a flame flow temperature sequence.

[0040] Supersonic flame particle parameter analysis module: According to the distribution of extreme points in the particle rate sequence corresponding to each time period, combined with the time interval between the extreme point and its adjacent extreme point, the flame flow fluctuation amount of each extreme point in the particle rate sequence corresponding to each time period is obtained; according to the numerical difference distribution of the extreme points in the flame flow temperature sequence corresponding to each time period, combined with the distribution of the flame flow fluctuation amount, the flame flow velocity-temperature influence amount of the supersonic flame in each time period is obtained; according to the correlation between the temperature parameter and the speed parameter in each time period, combined with the flame flow velocity-temperature influence amount, the closed-loop adjustment amount of the filter parameter of the supersonic flame spraying control is obtained.

[0041] In the process of spraying ultra-supercritical turbine blades with supersonic flame, if the particle speed sprayed by the spray gun controlled by the IMC inner mold is unstable, the flame flow of the spray gun will fluctuate more obviously. Since particles of different speeds have different degrees of deformation when they hit the substrate, the unstable speed will lead to uneven coating structure, affecting the bonding strength and performance of the coating.

[0042] In the process of supersonic flame spraying of ultra-supercritical turbine blades, under ideal conditions, the velocities of different particles at the same position should be the same; however, in the actual supersonic flame spraying process, due to external heat transfer factors, the change in the particle velocity of the supersonic flame spray gun is manifested as the speed of different particles passing through a position at different times. When the speed of different particles at the same position changes more dramatically within a time period, the number of extreme points of the velocity parameter within the time period will increase, and the variation range of the particle velocity will also increase.

[0043] Therefore, the particle rate sequence corresponding to each time period is used as the input of the extreme point detection algorithm, and the output is the extreme point of the example rate sequence corresponding to each time period and the position number of the extreme point in the particle rate sequence; the extreme point and the position of the extreme point can characterize the flame flow change state of the particle rate of the supersonic flame in actual operation. Among them, the extreme point detection algorithm is a well-known technology, and the specific calculation process will not be repeated.

[0044] According to the distribution of extreme points in the particle rate sequence corresponding to each time period, combined with the time interval between the extreme point and its adjacent extreme point, the flame flow fluctuation amount of each extreme point in the particle rate sequence corresponding to each time period is obtained: the absolute value of the difference between each extreme point in the particle rate sequence corresponding to each time period and the standard particle injection velocity is calculated; the mean of the time intervals between each extreme point and all adjacent extreme points in the particle rate sequence corresponding to each time period is obtained; based on the absolute value of the difference and the mean, the flame flow fluctuation amount of each extreme point in the particle rate sequence corresponding to each time period is obtained; wherein the flame flow fluctuation amount is positively correlated with the absolute value of the difference, and negatively correlated with the mean.

[0045] It should be noted that a positive correlation indicates that as one variable increases, another variable also increases; a negative correlation indicates that as one variable increases, another variable decreases.

[0046] In this embodiment, the ratio of the absolute value of the difference to the mean is used as the flame flow fluctuation amount of each extreme point in the particle velocity sequence corresponding to each time period. In this embodiment, the standard particle injection speed is the first preset value, which is 600m / s; the implementer can adjust it according to the actual situation.

[0047] The higher the stability of the flame flow ejected by the supersonic flame spray gun, the closer the speeds of different particles at the same position are, and the value is close to the standard particle injection speed, the higher the stability of the flame flow. Because the higher the stability, the fewer the number of extreme points, the larger the time interval between the extreme points, and the larger the average time interval between the extreme points and the adjacent extreme points, the smaller the value of the flame flow fluctuation at the extreme point, indicating that the supersonic flame spray gun has better control over various fuels through the IMC controller, and the less adjustment is required for the IMC controller.

[0048] The flame flow fluctuations of all extreme points in the particle velocity sequence corresponding to each time period are used to characterize the velocity change state of particles in supersonic flames at different times, thereby reflecting the fluctuation state of supersonic flame flow.

[0049] During the spraying process of ultra-supercritical turbine blades, due to the direct contact between the supersonic flame and the air, the fluidity of the air will cause the loss of the temperature of the particles in the flame. The flow of air is not fixed. In the initial stage, the temperature loss of the supersonic flame is not fixed. As time goes by, the temperature of the supersonic flame continues to lose. The air around the supersonic flame will form an air cover to maintain the stability of the temperature loss of the supersonic flame, so that the temperature of the supersonic flame remains stable. When the supersonic flame remains stable, the IMC control of the supersonic flame does not change.

[0050] All extreme values ​​of the flame flow temperature sequence are obtained to form an extreme value sequence. Further, the extreme value sequence is used as the input of the first-order difference method, and the first-order extreme value difference sequence of the extreme value sequence is output. Then, the absolute value of each element of the first-order extreme value difference sequence is taken to obtain the temperature wave change sequence corresponding to the flame flow temperature sequence in each time period, which characterizes the stability of the temperature change of the supersonic flame. Among them, the extreme point detection algorithm and the first-order difference method are both well-known technologies, and the specific calculation process will not be repeated.

[0051] According to the difference characteristics between the elements in the temperature wave change sequence and the number of elements, the flame flow wave degree of the flame flow temperature sequence corresponding to each time period is obtained: the cumulative sum of the differences between all even-numbered elements in the temperature wave change sequence and the previous odd-numbered elements is calculated, and then combined with the number of elements in the temperature change sequence corresponding to each time period, the flame flow wave degree of the flame flow temperature sequence corresponding to each time period is obtained.

[0052] In this embodiment, multiple variables are integrated by multiplication; in the process of spraying by supersonic flame, the wave nature of the supersonic flame temperature in the initial state should be continuously weakened, and the gap between the extreme points in the flame flow temperature sequence is continuously reduced. At the same time, if the number of extreme points is less, the flame flow wave degree of the flame flow temperature sequence is smaller. Therefore, the stability of the supersonic flame is constantly improving, which shows that the effect of IMC control in the supersonic flame spray gun is more significant. In IMC control, if the filter parameter value is more reasonable, the stability of the flame temperature will be effectively guaranteed, which will help to maintain the appropriate melting speed of the sprayed particles, thereby ensuring the density and uniformity of the coating. If the filter parameter is set improperly, resulting in the instability of the flame temperature, it will affect the melting state of the particles, thereby increasing the porosity of the coating and reducing the bonding strength, thereby affecting the hardness and wear resistance of the coating. Therefore, in IMC control, the precise adjustment of the filter parameter is the key to ensuring the spraying effect.

[0053] Based on this, according to the flame flow waviness of the flame flow temperature sequence corresponding to each time period, combined with the distribution of the flame flow fluctuation amount of all extreme points in the corresponding particle rate sequence, the flame flow velocity-temperature influence of the supersonic flame in each time period is obtained: the mean value of the flame flow fluctuation amount of all extreme points in the particle rate sequence corresponding to each time period is obtained, and it is normalized after multiplying it with the flame flow waviness to obtain the flame flow velocity-temperature influence of the supersonic flame. In this embodiment, the normalization method adopts the sigmoid function.

[0054] When the particles in the supersonic flame gradually tend to be stable or are already in a stable state, the smaller the fluctuation amplitude of the particle velocity in the supersonic flame, the smaller the mean value of all flame flow fluctuations; at the same time, the temperature of the particles gradually stabilizes, the temperature fluctuation amplitude continues to decrease, and the time between the fluctuations becomes longer, so the flame flow wave value of the flame flow temperature sequence becomes smaller and negative. As a result, the value of the flame flow velocity temperature influence variable of the supersonic flame is smaller. In this case, the spraying effect for the ultra-supercritical turbine blade is better, and the strength and wear resistance of the coating are also higher.

[0055] During the spraying process, the higher the particle speed, the shorter the time it stays in the flame flow, so that the heating time of the particle is also shorter, and the corresponding particle temperature rise is low; conversely, the lower the particle speed, the longer the particle heating time, and the corresponding particle temperature rise is high. Therefore, the particle speed and temperature should show a negative correlation feature. When the particle temperature and speed are more negatively correlated, it means that the particle is less disturbed by the outside world. In the closed-loop control of the supersonic flame by the temperature and speed of the particle, the adjustment force should be smaller; conversely, the adjustment force should be greater to reduce the influence of external interference. According to the correlation between the temperature parameters and the speed parameters of each time period, combined with the flame flow rate temperature influence, the closed-loop adjustment amount of the filter parameter of the supersonic flame spraying control is obtained: the correlation coefficient of all speed parameters and all temperature parameters in each time period is obtained, the sum of the second preset value and the correlation coefficient is calculated, and then multiplied by the flame flow rate temperature influence, the closed-loop adjustment amount of the filter parameter of the supersonic flame spraying control in each time period is obtained. In this embodiment, the correlation is obtained by the Pearson correlation coefficient.

[0056] Since the temperature and velocity of particles in a supersonic flame show a strong negative correlation, the value range of the Pearson correlation coefficient is usually between -1 and 0 in the actual process. Therefore, the second preset value should be a value greater than or equal to 1, and the Pearson correlation coefficient can be positively converted. In this embodiment, the second preset value is 1; wherein, the calculation process of the Pearson correlation coefficient is a well-known technology, and the specific calculation process will not be repeated.

[0057] For particles in supersonic flames in an undisturbed state, there is a strong negative correlation between particle temperature and velocity. The control system only needs to exert a small control force to effectively adjust the changes in particle velocity and temperature. When the temperature and velocity of the particles do not have a strong correlation, the value of the Pearson correlation coefficient between the particle velocity sequence and the flame flow temperature sequence is close to 0, so that the larger the sum of the Pearson correlation coefficient and 1, the larger the closed-loop adjustment amount of the filter parameters for supersonic flame spraying control in each time period. In view of this situation, the control capability should be increased to reduce the influence of external interference on particle temperature and velocity.

[0058] Supersonic flame spraying control module: According to the difference between the closed-loop adjustment amount of the filter parameters in each time period and its adjacent previous time period, the filter parameters in the IMC control of each time period are adjusted.

[0059] The filter parameters of the IMC control in each time period are adjusted by the closed-loop automatic adjustment amount of the previous time period: Wherein, αr represents the adjustment value of the filter parameter of the IMC control in each time period; Fr′ represents the closed-loop adjustment amount of the filter parameter in the previous time period adjacent to each time period; Fr represents the closed-loop adjustment amount of the filter parameter in each time period; α′ represents the filter parameter of the IMC control in the previous time period adjacent to each time period, that is, the initial filter parameter of the IMC control in each time period; It should be noted that, in this embodiment, the initial filter parameter for starting the IMC control is 0.5, that is, the initial filter parameter of the IMC control in the first time period is 0.5, and the implementer can adjust it according to the actual situation.

[0060] When the closed-loop control system of supersonic flame spraying is in operation, the temperature and velocity of the particles in the supersonic flame become increasingly unstable, indicating that the system is subject to stronger environmental interference, that is, the closed-loop adjustment amount of the filter parameter in the current time period is greater than the closed-loop adjustment amount of the filter parameter in the previous time period adjacent to it. The value of the initial filter parameter α′ of the IMC control in the current time period should be increased so that in the IMC control system, the temperature and velocity of the particles in the supersonic flame remain stable, so that the spraying effect on the ultra-supercritical steam turbine blades is better and the coating quality is higher.

[0061] Among them, the specific flow chart for adjusting the filter parameters in IMC control is as follows: Figure 2 shown.

[0062] In summary, the embodiment of the present application is based on the supersonic flame spraying closed-loop control system of infrared spectroscopy technology and closed-loop control theory. By real-time analysis of the temperature and velocity data of particles in the flame, the dynamic characteristics of the flame spraying process are characterized; by calculating the flame flow fluctuation, the stability of the particle velocity change in the flame spraying process is characterized; combined with the calculation of the flame flow velocity temperature influence, it is used to evaluate the relationship between the particle state and the coating quality in the flame spraying process; further obtain the closed-loop adjustment amount of the filter parameter of the supersonic flame spraying control, thereby determining the optimal control parameters of the particle temperature and velocity in the flame spraying process, and calculating the optimization direction of the current spraying process through real-time adjustment of the control parameters, realizing intelligent control of the supersonic flame spraying process, thereby improving the control quality and efficiency of flame spraying under various operating conditions. Therefore, the present application effectively solves the problem of poor control effect caused by unstable particle temperature and velocity in the existing supersonic flame spraying control method. By improving the control strategy, the control quality and efficiency of supersonic flame spraying can be significantly improved, making the spraying process more accurate and stable.

[0063] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the function marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two continuous boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two continuous operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

[0064] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. Supersonic flame spraying closed-loop control system, characterized in that: The system includes: The supersonic flame particle parameter acquisition module is used to record the sequence composed of all velocity parameters in each time period as a particle velocity sequence and the sequence composed of all temperature parameters in each time period as a flame flow temperature sequence at the same position during the supersonic flame spraying process; The supersonic flame particle parameter analysis module is used to obtain the flame flow fluctuation amount of each extreme point in the particle rate sequence corresponding to each time period according to the distribution of extreme points in the particle rate sequence corresponding to each time period, combined with the time interval between the extreme point and its adjacent extreme point; according to the numerical difference distribution of the extreme points in the flame temperature sequence corresponding to each time period, combined with the distribution of the flame flow fluctuation amount, obtain the flame flow velocity temperature influence amount of the supersonic flame in each time period; according to the correlation between the temperature parameter and the speed parameter in each time period, combined with the flame flow velocity temperature influence amount, obtain the closed-loop adjustment amount of the filter parameter of the supersonic flame spraying control; The supersonic flame spraying control module is used to adjust the filter parameters in the IMC control of each time period according to the difference between the closed-loop adjustment amount of the filter parameters in each time period and its adjacent previous time period.

2. The supersonic flame spraying closed-loop control system according to claim 1, characterized in that: The specific steps of obtaining the flame flow fluctuation amount of each extreme point in the particle rate sequence corresponding to each time period include: Calculate the absolute value of the difference between each extreme point in the particle rate sequence in each time period and the first preset value; Obtain the mean of the time intervals between each extreme point and all adjacent extreme points in the particle rate sequence corresponding to each time period; Based on the absolute value of the difference and the mean, the flame flow fluctuation amount of each extreme point in the particle rate sequence corresponding to each time period is obtained; wherein the flame flow fluctuation amount is positively correlated with the absolute value of the difference and negatively correlated with the mean.

3. The supersonic flame spraying closed-loop control system according to claim 2, characterized in that: The flame flow fluctuation amount is specifically the ratio of the absolute value of the difference to the mean value.

4. The supersonic flame spraying closed-loop control system according to claim 1, characterized in that: The process of obtaining the flame velocity temperature influence quantity of the supersonic flame in each time period is as follows: According to the differences between adjacent extreme value points in the flame flow temperature sequence corresponding to each time period, the temperature wave variation sequence of each time period is obtained; According to the difference characteristics between the elements in the temperature wave change sequence and the number of elements, the flame flow wave degree corresponding to the flame flow temperature sequence in each time period is obtained; The mean value of the flame flow fluctuation of all extreme points in the particle velocity sequence corresponding to each time period is obtained and fused with the flame flow wave intensity to obtain the flame flow velocity temperature influence of the supersonic flame.

5. The supersonic flame spraying closed-loop control system according to claim 4, characterized in that: The temperature wave variation sequence obtained in each time period is specifically: The first-order difference sequence of all extreme points of the flame flow temperature sequence is obtained, and the absolute value of each element in the first-order difference sequence is taken to obtain the temperature wave change sequence of each time period.

6. The supersonic flame spraying closed-loop control system according to claim 4, characterized in that: The flame flow wave degrees of the flame flow temperature sequence corresponding to each time period are specifically: The cumulative sum of the differences between all even-numbered elements in the temperature wave variation sequence and their previous odd-numbered elements is calculated, and then merged with the number of elements in the temperature variation sequence corresponding to each time period to obtain the flame flow wave degree of the flame flow temperature sequence corresponding to each time period.

7. The supersonic flame spraying closed-loop control system according to claim 6, characterized in that: The flame flow wave degree is specifically the product of the cumulative sum and the number of elements.

8. The supersonic flame spraying closed-loop control system according to claim 4, characterized in that: The flame velocity-temperature influence variable is specifically a normalized value of the product of the flame flow fluctuation amount mean and the flame flow waviness.

9. The supersonic flame spraying closed-loop control system according to claim 1, characterized in that: The obtained closed-loop adjustment amount of the filtering parameter for supersonic flame spraying control is specifically: The correlation coefficients of all velocity parameters and all temperature parameters in each time period are obtained, the sum of the second preset value and the correlation coefficient is calculated, and then multiplied by the flame velocity temperature influence variable to obtain the closed-loop adjustment amount of the filter parameter of the supersonic flame spraying control in each time period, wherein the second preset value is a value greater than or equal to 1.

10. The supersonic flame spraying closed-loop control system according to claim 1, characterized in that: The filter parameters in the IMC control of each time period are adjusted, and the formula is expressed as follows: Wherein, αr represents the filter parameter adjustment value of IMC control in each time period; Fr′ represents the closed-loop adjustment amount of the filter parameter in the previous time period adjacent to each time period; Fr represents the closed-loop adjustment amount of the filter parameter in each time period; α′ represents the filter parameter of IMC control in the previous time period adjacent to each time period.

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