Stamping control system and method for aluminum-based terminal processing

Abstract

The present application relates to the technical field of aluminum-based terminal processing, and specifically to a stamping control system and method for aluminum-based terminal processing, the method comprising: determining a first stamping factor based on the changes in various types of reconstructed terminal processing data and the correlation between the changes in different types of reconstructed terminal processing data; determining a second stamping factor based on the local distribution of various types of reconstructed stamping force data, and combining the first stamping factor to determine the stamping unevenness factor of the aluminum-based terminal processing process at the current moment, so as to determine the adaptive proportional gain at the current moment, and control the stamping force of the aluminum-based terminal processing process at the current moment. The present application aims to improve the yield rate and the utilization rate of raw materials in the stamping processing of aluminum-based terminals.

Description

Technical Field

[0001] The present application relates to the technical field of aluminum-based terminal processing, and in particular to a stamping control system and method for aluminum-based terminal processing. Background Art

[0002] With the improvement of industrial automation and strict requirements for control accuracy, the demand for terminal blocks is increasing, and their processing technology is also receiving increasing attention. Aluminum-based terminal blocks occupy an important position in stamping processing due to their good electrical conductivity and cost-effectiveness. In the development of stamping control technology, the product molding quality problems caused by unstable feeding, pressure leakage or repeated stamping in traditional processing, and the introduction of one-mold-multiple-piece processing method can effectively solve the above problems. One-mold-multiple-piece processing refers to the use of one mold to stamp out multiple products at the same time during the manufacturing process of aluminum-based terminal blocks. This can not only improve production efficiency, reduce costs and reduce material waste, but also improve production processes and realize large-scale and automated manufacturing.

[0003] In the stamping process of multiple parts in one mold, the phenomenon of high and low punching parts will occur. The high and low punching parts refer to the phenomenon that the heights of these parts are inconsistent when multiple parts are stamped simultaneously in the same mold. This phenomenon may be caused by different punching pressures caused by body vibration, burrs or pressure damage of punching parts. The existence of these problems not only affects the consistency and appearance of the product, but may also lead to subsequent assembly difficulties, increase the scrap rate, and reduce production efficiency and product quality. When solving the problem of high and low punching parts, the existing technology, although the finite element method and computer-aided process analysis and simulation technology have been widely used to improve the design and analysis capabilities of the stamping forming process, still lacks real-time adjustment of the processing pressure, and it is difficult to quickly respond to the different pressures caused by inconsistent part heights in production, thereby reducing the yield rate of aluminum-based terminal stamping and the utilization rate of raw materials. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a stamping control system and method for aluminum-based terminal processing. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides a stamping control method for aluminum-based terminal processing, the method comprising the following steps:

[0006] During the processing of aluminum-based terminal blocks, the processing data of all types of terminals at the current moment and at each collection moment within a preset time period before the current moment are obtained;

[0007] The empirical mode decomposition algorithm is used to decompose various types of terminal processing data at all acquisition moments before the current moment, and the residuals and multiple intrinsic mode functions of various types of terminal processing data are obtained. The various types of reconstructed terminal processing data at all acquisition moments before the current moment are determined by combining the similarity between various types of terminal processing data and their respective intrinsic mode functions; based on the correlation between various types of reconstructed terminal processing data at all acquisition moments before the current moment, and the complexity of various types of reconstructed terminal processing data, the first stamping factor of the aluminum-based terminal processing process at the current moment is determined;

[0008] Based on the extreme distribution of various types of reconstructed terminal processing data at each collection time and all the collection times in its neighborhood, the discrimination factor of each collection time is determined, and combined with the discrete degree of various types of reconstructed terminal processing data at each collection time and all the collection times in its neighborhood, the dispersion index of each collection time is determined;

[0009] Based on the average distribution of the dispersion index at all acquisition moments, the second stamping factor of the aluminum-based terminal processing process at the current moment is determined, and combined with the first stamping factor, the stamping uneven factor of the aluminum-based terminal processing process at the current moment is determined to determine the adaptive proportional gain at the current moment, and control the stamping force of the aluminum-based terminal processing process at the current moment.

[0010] Preferably, the method for determining various types of reconstructed terminal processing data at all collection moments before the current moment is:

[0011] For all acquisition moments before the current moment, the cosine similarity of each type of terminal processing data and all its intrinsic mode functions is calculated, and the result of adding the residual and all intrinsic mode functions whose cosine similarity is greater than the preset threshold is used as the various types of reconstructed terminal processing data at the current moment and all acquisition moments before it.

[0012] Preferably, the method for determining the first stamping factor of the aluminum-based terminal processing process at the current moment is:

[0013] All types of reconstructed terminal processing data include reconstructed punching force data and reconstructed vibration data;

[0014] The expression of the first stamping factor A in the aluminum-based terminal processing process at the current moment is: ; In the formula, Indicates the correlation between the reconstructed punching force data and the reconstructed vibration data at the current moment and all previous acquisition moments; It represents the difference between the fractal dimension of the reconstructed punching force data and the fractal dimension of the reconstructed vibration data at the current moment and all previous acquisition moments.

[0015] Preferably, the expression of the discriminant factor at each acquisition moment is: ; In the formula, represents the discriminant factor at the acquisition time i; , They respectively represent the normalized values ​​of the range of the reconstructed punching force data and the normalized values ​​of the range of the reconstructed vibration data at all acquisition moments in the neighborhood of the acquisition moment i; Indicates the preset first value.

[0016] Preferably, the method for determining the dispersion index at each acquisition moment is:

[0017] The difference between the discrete degree of the reconstructed punching force data and the discrete degree of the reconstructed vibration data at each acquisition moment and all acquisition moments in its neighborhood is calculated, and the ratio of the discriminant factor at each acquisition moment to the difference is used as the dispersion index at each acquisition moment.

[0018] Preferably, the second stamping factor of the aluminum-based terminal processing process at the current moment is the average of the dispersion indexes of all collection moments before the current moment.

[0019] Preferably, the stamping unevenness factor of the aluminum-based terminal processing process at the current moment is the product of the first stamping factor and the second stamping factor of the aluminum-based terminal processing process at the current moment.

[0020] Preferably, the expression of the adaptive proportional gain at the current moment is: ; In the formula, Represents the adaptive proportional gain at the current moment; Indicates the stamping unevenness factor of the aluminum-based terminal processing process at the current moment; represents the hyperbolic tangent function; Indicates the preset initial proportional gain; Indicates the preset second value.

[0021] Preferably, the controlling of the punching force during the processing of the aluminum-based terminal at the current moment includes:

[0022] The deviation between the punching force data in all terminal processing data at the current moment and the preset ideal punching force is used as the input of the PID controller, wherein the proportional gain in the PID controller is set to the adaptive proportional gain at the current moment, and the punching force control signal is output to control the punching force of the aluminum-based terminal processing process at the current moment.

[0023] In the second aspect, an embodiment of the present application also provides a stamping control system for processing aluminum-based terminal blocks, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the steps of any one of the above-mentioned stamping control methods for processing aluminum-based terminal blocks are implemented.

[0024] This application has at least the following beneficial effects:

[0025] This application analyzes the changing characteristics of various types of terminal processing data, screens out abnormal data to obtain various types of reconstructed terminal processing data, and analyzes the changes in various types of reconstructed terminal processing data, as well as the correlation of the changes in various types of reconstructed terminal processing data, to construct a first stamping factor, which can quantify the interaction between stamping force and vibration, and help to better understand the complex interaction between stamping force and vibration during the stamping process, thereby preventing the high and low inconsistency of stamping parts caused by the interaction between stamping force and vibration, thereby improving the quality of aluminum-based terminal blocks; further, by analyzing the local distribution of the reconstructed stamping force data, a second stamping factor is constructed, which characterizes the distribution and change trend of the stamping force, and helps to more accurately determine the intensity of stamping force control; finally, the first stamping factor and the second stamping factor are combined to construct a stamping uneven factor, which helps to more comprehensively evaluate the stamping processing quality, optimize the stamping control strategy, reduce the high and low phenomenon of stamping parts, and improve the processing quality of aluminum-based terminal blocks. This application improves the yield rate and raw material utilization rate of stamping processing of aluminum-based terminal blocks by adaptively adjusting PID control parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 A flowchart of the steps of a stamping control method for aluminum-based terminal processing provided in one embodiment of the present application;

[0028] Figure 2 A schematic diagram of a first punching factor acquisition process provided by an embodiment of the present application;

[0029] Figure 3 A schematic diagram of an adaptive proportional gain extraction process provided for one embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the stamping control system and method for aluminum-based terminal processing proposed in the present application, its specific implementation, structure, features and effects are described in detail as follows in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0031] 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.

[0032] The specific scheme of the stamping control system and method for aluminum-based terminal processing provided by the present application is described in detail below with reference to the accompanying drawings.

[0033] See also Figure 1 , which shows a flowchart of a stamping control method for aluminum-based terminal processing provided by an embodiment of the present application, the method comprising the following steps:

[0034] Step S1: During the processing of aluminum-based terminal blocks, all types of terminal processing data at the current moment and at each collection moment within a preset time period before the current moment are obtained.

[0035] In the process of stamping multiple parts with one die, the inconsistent stamping force during the processing of the terminal will aggravate the phenomenon of high and low stamping parts. In order to measure the stamping force during the processing of the terminal, an electric ring sensor is installed under the crimping die of the terminal crimping machine to accurately measure the crimping force of the terminal when the terminal is crimped. Vibration may occur during the stamping process of the terminal, which may cause a decrease in stamping accuracy, unstable product size, and cause the phenomenon of high and low stamping parts. For this, an integrated electronic piezoelectric sensor is selected and installed at the bearing seat to reduce the loss of vibration information in the transmission path.

[0036] Therefore, the power ring sensor and the integrated electronic piezoelectric sensor are used to obtain the processing data of all types of terminals at each collection time within the preset time before the current time, wherein the data collection frequency is set to f, and the vibration data of the terminal block during the stamping process is collected.

[0037] It should be noted that all types of terminal processing data include the punching force data collected by the power ring sensor at each collection time and the vibration data collected by the integrated electronic piezoelectric sensor at each collection time.

[0038] In addition, it should be understood that the preset time length and data collection frequency f are set by individuals. In this embodiment, the preset time length is 20s, and the data collection frequency f is 10Hz. The implementer can also set them according to the specific situation. This embodiment does not impose any special restrictions.

[0039] Step S2: Use the empirical mode decomposition algorithm to decompose various types of terminal processing data at all acquisition moments before the current moment, obtain the residuals and multiple intrinsic mode functions of various types of terminal processing data, and combine the similarity between various types of terminal processing data and their respective intrinsic mode functions to determine various types of reconstructed terminal processing data at the current moment and all previous acquisition moments; based on the correlation between various types of reconstructed terminal processing data at all acquisition moments before the current moment, and the complexity of various types of reconstructed terminal processing data, determine the first stamping factor of the aluminum-based terminal processing process at the current moment.

[0040] In the one-mold-multiple-piece processing of aluminum-based terminal blocks, inconsistent punching force will lead to high and low phenomenon of punched parts, that is, the heights of multiple parts punched out in the same mold are inconsistent. Excessive or uneven punching force may cause vibration and resonance of the workpiece during the processing. At the same time, the vibration of the processing body will also cause different pressures on different terminal blocks. The interaction between punching force and vibration will aggravate the high and low phenomenon of punched parts in one-mold-multiple-piece processing.

[0041] During the processing, the occurrence of high and low punching parts is often accompanied by changes in punching force and vibration. Therefore, in order to deeply analyze the changes in punching force and vibration, the first punching factor of the aluminum-based terminal processing process at the current moment is determined by analyzing the changes in various terminal processing data and the correlation between various terminal processing data. Specifically, it is:

[0042] (1) Taking all the terminal processing data collected at all times before the current moment as the input of the empirical mode decomposition algorithm, the residuals and multiple intrinsic mode functions of the terminal processing data are output;

[0043] (2) Furthermore, for all acquisition moments before the current moment, the cosine similarity between each type of terminal processing data and all its intrinsic mode functions is calculated, and the result of adding the residual and all intrinsic mode functions whose cosine similarity is greater than a preset threshold is used as the various types of reconstructed terminal processing data at the current moment and all acquisition moments before the current moment.

[0044] It should be noted that when the empirical mode decomposition algorithm is used to decompose various types of terminal processing data, the lengths of the intrinsic mode functions and residuals obtained by decomposition are the same as the total length of various types of terminal processing data, and they correspond one to one at each acquisition time. Therefore, in this embodiment, all intrinsic mode functions whose residuals and cosine similarities are greater than a preset threshold are added together. Specifically, the data at the corresponding acquisition time are added together, and a new data is obtained at each acquisition time. This new data is recorded as reconstructed terminal processing data, thus obtaining various types of reconstructed terminal processing data.

[0045] In addition, it should be understood that the value of the preset threshold is artificially set. In this embodiment, the value of the preset threshold is 0.3. The implementer can also set it according to the specific situation. This embodiment does not impose any special restrictions.

[0046] Among them, the principle of the empirical mode decomposition algorithm and the calculation steps of the cosine similarity are well-known technologies, and their specific principles and calculation processes are not described in detail again.

[0047] (3) Further, based on the correlation between various types of reconstructed terminal processing data and the complexity of various types of reconstructed terminal processing data, the first stamping factor of the aluminum-based terminal processing process at the current moment is determined, specifically:

[0048] The expression of the first stamping factor A in the aluminum-based terminal processing process at the current moment is: ; In the formula, Indicates the correlation between the reconstructed punching force data and the reconstructed vibration data at the current moment and all previous acquisition moments; It represents the difference between the fractal dimension of the reconstructed punching force data and the fractal dimension of the reconstructed vibration data at the current moment and all previous acquisition moments.

[0049] Among them, the calculation process of fractal dimension is a well-known technology. In this embodiment, the box counting method is used to obtain the fractal dimension of various types of reconstructed terminal processing data at all collection moments. The implementer can also use the Hurst index method or other methods to obtain the fractal dimension. Regarding the selection of the fractal dimension calculation method, this embodiment does not make any special restrictions, and the calculation process of the fractal dimension is not described in detail.

[0050] According to the first stamping factor of the aluminum-based terminal processing process at the current moment, it can be understood that the difference between the fractal dimensions of different types of reconstructed terminal processing data represents the difference between the dynamic complexity of the stamping force data and the vibration data. The greater the difference between the fractal dimensions, the greater the difference in complexity between the stamping force data and the vibration data, that is, the interaction between the stamping force and the vibration in the stamping process is less obvious, and the smaller the correlation between the stamping force data and the vibration data, the less obvious the interaction between the stamping force and the vibration, and the smaller the first stamping factor;

[0051] On the contrary, if the difference between the fractal dimensions is smaller, it means that the difference in complexity between the punching force data and the vibration data is smaller, that is, the interaction between the punching force and the vibration in the punching process is more obvious, and there is a strong correlation between the punching force data and the vibration data, which means that the interaction between the punching force and the vibration is more obvious, and the first punching factor is larger.

[0052] Preferably, the schematic diagram of the first punching factor acquisition process provided in this embodiment is as follows: Figure 2 shown.

[0053] Step S3: Based on the extreme distribution of various types of reconstructed terminal processing data at each collection moment and all collection moments in its neighborhood, determine the discrimination factor of each collection moment, and determine the dispersion index of each collection moment in combination with the discrete degree of various types of reconstructed terminal processing data at each collection moment and all collection moments in its neighborhood; based on the average distribution of the dispersion index of all collection moments, determine the second stamping factor of the aluminum-based terminal processing process at the current moment, and determine the stamping uneven factor of the aluminum-based terminal processing process at the current moment in combination with the first stamping factor, so as to determine the adaptive proportional gain at the current moment and control the stamping force of the aluminum-based terminal processing process at the current moment.

[0054] In the processing of multiple pieces of a terminal block, if the punching parts are uneven, the pressure of the die base will change due to the uneven distribution of the punching force. In the high-point area, the die base may bear greater pressure, while in the low-point area, the pressure is relatively small. When the punching parts are uneven, this uneven punching force will cause uneven vibrations in the three directions of the entire system of the equipment and the die, especially when the punching force reaches the maximum value, that is, the tearing and diffusion stage, the vibration is the most intense.

[0055] From the above analysis, it can be seen that when the high and low phenomenon of the punching parts occurs, the monitored pressure and vibration will produce uneven changes, and the changes between the two are synchronous. Therefore, in order to analyze the changes in the punching force data and vibration data, by analyzing the local changes in the reconstructed terminal processing data and combining the first punching factor, the punching force of the aluminum-based terminal processing process at the current moment is controlled. Specifically:

[0056] (1) A neighborhood is divided with each collection moment as the center, and the neighborhood radius is set to W. The value of the neighborhood radius W is manually set. In this embodiment, the value of the neighborhood radius W is 10. The implementer can also set it according to the specific situation. This embodiment does not impose any special restrictions.

[0057] (2) Further, based on the extreme distribution of various types of reconstructed terminal processing data at each acquisition time and all acquisition times in its neighborhood, the discriminant factor at each acquisition time is determined, specifically:

[0058] Discriminant factor at acquisition time i The expression is: ; In the formula, , They respectively represent the normalized values ​​of the range of the reconstructed punching force data and the normalized values ​​of the range of the reconstructed vibration data at all acquisition moments in the neighborhood of the acquisition moment i; Indicates the preset first value.

[0059] It should be noted that the value of the preset first numerical value is artificially set. In this embodiment, the value of the preset first numerical value is 0.1. The implementer can also set it by himself according to the specific situation. This embodiment does not impose any special restrictions.

[0060] Among them, when or When it is greater than the preset threshold, the discrimination factor is set to 1. or When it is greater than the preset threshold, the discriminant factor is set to 0 in order to give a greater weight to subsequent calculations, filter out uneven punching force data, and not consider them.

[0061] (3) Further, the difference between the discrete degree of the reconstructed punching force data and the discrete degree of the reconstructed vibration data at each acquisition moment and all acquisition moments in its neighborhood is calculated, and the ratio of the discriminant factor at each acquisition moment to the difference is used as the dispersion index at each acquisition moment;

[0062] It should be noted that there are many methods to measure the degree of discreteness of a set of data. In this embodiment, the standard deviation of various types of reconstructed terminal processing data at each acquisition moment and all acquisition moments in its neighborhood is calculated to measure the degree of discreteness of various types of reconstructed terminal processing data at each acquisition moment and all acquisition moments in its neighborhood. The implementer may also use other methods that can measure the degree of discreteness of data, such as variance and dispersion coefficient. This embodiment does not impose any special restrictions on the selection of methods for measuring the degree of discreteness of data.

[0063] In addition, it should be understood that there are many methods for measuring the differences between data. In this embodiment, the absolute value of the difference between the discreteness of the reconstructed punching force data and the discreteness of the reconstructed vibration data is calculated as a method for measuring the difference in discreteness between different types of reconstructed terminal processing data. The implementer may also adopt ratios or other methods that can measure the differences based on the specific circumstances. Regarding the selection of methods for measuring the differences between data, this embodiment does not impose any special restrictions.

[0064] According to the dispersion index at each acquisition moment, it can be understood that when the punching pressure is more uneven, the value of the discrimination factor is 1, and the difference in the degree of dispersion between different types of reconstructed terminal processing data is smaller, which means that the synchronization of the uneven changes in the punching pressure data and the vibration data is stronger, and it is more likely to be caused by the high and low phenomenon of the punching parts, and the dispersion index is larger; conversely, when the punching pressure is more uneven, the value of the discrimination factor is 0, and the difference in the degree of dispersion between different types of reconstructed terminal processing data is greater, which means that the synchronization of the uneven changes in the punching pressure data and the vibration data is weaker, and it is less likely to be caused by the high and low phenomenon of the punching parts, and the dispersion index is smaller.

[0065] (4) Furthermore, the average of the dispersion indexes of all the sampling moments before the current moment is taken as the second stamping factor of the aluminum-based terminal processing process at the current moment. The larger the dispersion index, the larger the second stamping factor, indicating that the stamping intensity changes more unevenly.

[0066] (5) Further, based on the first and second stamping factors, a stamping unevenness factor is determined, specifically:

[0067] The stamping uneven factor of the aluminum-based terminal processing process at the current moment is the product of the first stamping factor and the second stamping factor of the aluminum-based terminal processing process at the current moment.

[0068] According to the stamping unevenness factor of the aluminum-based terminal processing process at the current moment, it can be understood that when the first stamping factor and the second stamping factor are larger, the stamping unevenness factor is larger, indicating that the stamping intensity distribution is more uneven, that is, the degree of high and low phenomenon of stamping parts is more serious when the terminal is processed with one mold and multiple pieces; conversely, when the first stamping factor and the second stamping factor are smaller, the stamping unevenness factor is smaller, indicating that the stamping intensity distribution is more uniform, that is, the degree of high and low phenomenon of stamping parts is more mild when the terminal is processed with one mold and multiple pieces.

[0069] (6) In order to reduce the deformation of the terminal blocks caused by the height of the stamping parts, the PID control algorithm is used to control the stamping pressure during the stamping process. However, when the height of the stamping parts changes to varying degrees, if the parameters of the PID control algorithm remain fixed, it will be unable to adapt to the dynamic changes in the stamping process, resulting in inaccurate control of the stamping pressure, which in turn affects the quality of the stamping parts. Therefore, the PID algorithm needs to be improved, specifically:

[0070] Adaptive proportional gain at the current moment The expression is: ; In the formula, Indicates the stamping unevenness factor of the aluminum-based terminal processing process at the current moment; represents the hyperbolic tangent function; Indicates the preset initial proportional gain; Indicates the preset second value for appropriate amplification value and prevent the adaptive proportional gain from being 0.

[0071] It should be noted that the values ​​of the preset initial proportional gain and the preset first numerical value are both artificially set. In this embodiment, the value of the preset initial proportional gain P is 0.5, and the value of the preset first numerical value is 0.5. The implementer can also set it by himself according to the specific situation. This embodiment does not impose any special restrictions. The implementer can also set it by himself according to the specific situation. This embodiment does not impose any special restrictions.

[0072] Preferably, the schematic diagram of the adaptive proportional gain extraction process provided in this embodiment is as follows: Figure 3 shown.

[0073] (7) Furthermore, the deviation between the punching force data in the processing data of all types of terminals at the current moment and the preset ideal punching force is used as the input of the PID controller, wherein the proportional gain in the PID controller is set to the adaptive proportional gain at the current moment, and the punching force control signal is output to control the punching force of the aluminum-based terminal processing process at the current moment.

[0074] It should be noted that the preset value of the ideal punching force is artificially set. Due to the differences in processing materials or processing tools, the ideal punching force will also be different, so the ideal punching force is not a fixed value. The preset value of the ideal punching force in this embodiment is 80N, and the implementer can also set it by himself according to the specific situation. This embodiment does not impose any special restrictions.

[0075] Among them, the working principle of the PID controller is a well-known technology, and its specific working principle will not be described in detail.

[0076] Based on the same inventive concept as the above method, an embodiment of the present application also provides a stamping control system for aluminum-based terminal processing, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned stamping control methods for aluminum-based terminal processing are implemented.

[0077] It should be noted that the above sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above is a description of a specific embodiment of this specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0078] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0079] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application should be included in the protection scope of the present application.

Claims

1. A stamping control method for aluminum-based terminal processing, characterized in that: The method comprises the following steps: During the processing of aluminum-based terminal blocks, the processing data of all types of terminals at the current moment and at each collection moment within a preset time period before the current moment are obtained; The empirical mode decomposition algorithm is used to decompose various types of terminal processing data at all acquisition moments before the current moment, and the residuals and multiple intrinsic mode functions of various types of terminal processing data are obtained. The various types of reconstructed terminal processing data at all acquisition moments before the current moment are determined by combining the similarity between various types of terminal processing data and their respective intrinsic mode functions; based on the correlation between various types of reconstructed terminal processing data at all acquisition moments before the current moment, and the complexity of various types of reconstructed terminal processing data, the first stamping factor of the aluminum-based terminal processing process at the current moment is determined; Based on the extreme distribution of various types of reconstructed terminal processing data at each collection time and all the collection times in its neighborhood, the discrimination factor of each collection time is determined, and combined with the discrete degree of various types of reconstructed terminal processing data at each collection time and all the collection times in its neighborhood, the dispersion index of each collection time is determined; Based on the average distribution of the dispersion index at all acquisition moments, the second stamping factor of the aluminum-based terminal processing process at the current moment is determined, and combined with the first stamping factor, the stamping uneven factor of the aluminum-based terminal processing process at the current moment is determined to determine the adaptive proportional gain at the current moment, and control the stamping force of the aluminum-based terminal processing process at the current moment; The method for determining the first stamping factor of the aluminum-based terminal processing process at the current moment is: All types of reconstructed terminal processing data include reconstructed punching force data and reconstructed vibration data; The expression of the first stamping factor A in the aluminum-based terminal processing process at the current moment is: ; In the formula, Indicates the correlation between the reconstructed punching force data and the reconstructed vibration data at the current moment and all previous acquisition moments; It represents the difference between the fractal dimension of the reconstructed punching force data and the fractal dimension of the reconstructed vibration data at the current moment and all previous acquisition moments.

2. The stamping control method for aluminum-based terminal processing according to claim 1, characterized in that: The method for determining various types of reconstructed terminal processing data at all collection moments before the current moment is: For all acquisition moments before the current moment, the cosine similarity of each type of terminal processing data and all its intrinsic mode functions is calculated, and the result of adding the residual and all intrinsic mode functions whose cosine similarity is greater than the preset threshold is used as the various types of reconstructed terminal processing data at the current moment and all acquisition moments before it.

3. The stamping control method for aluminum-based terminal processing according to claim 1, characterized in that: The expression of the discriminant factor at each acquisition moment is: ; In the formula, represents the discriminant factor at the acquisition time i; , They respectively represent the normalized values ​​of the range of the reconstructed punching force data and the normalized values ​​of the range of the reconstructed vibration data at all acquisition moments in the neighborhood of the acquisition moment i; Indicates the preset first value.

4. The stamping control method for aluminum-based terminal processing according to claim 1, characterized in that: The method for determining the dispersion index at each acquisition moment is: The difference between the discrete degree of the reconstructed punching force data and the discrete degree of the reconstructed vibration data at each acquisition moment and all acquisition moments in its neighborhood is calculated, and the ratio of the discriminant factor at each acquisition moment to the difference is used as the dispersion index at each acquisition moment.

5. The stamping control method for aluminum-based terminal processing according to claim 1, characterized in that: The second stamping factor of the aluminum-based terminal processing process at the current moment is the average of the dispersion indexes of all collection moments before the current moment.

6. The stamping control method for aluminum-based terminal processing according to claim 1, characterized in that: The stamping uneven factor of the aluminum-based terminal processing process at the current moment is the product of the first stamping factor and the second stamping factor of the aluminum-based terminal processing process at the current moment.

7. The stamping control method for aluminum-based terminal processing according to claim 1, characterized in that: The expression of the adaptive proportional gain at the current moment is: ; In the formula, Represents the adaptive proportional gain at the current moment; Indicates the stamping unevenness factor of the aluminum-based terminal processing process at the current moment; represents the hyperbolic tangent function; Indicates the preset initial proportional gain; Indicates the preset second value.

8. The stamping control method for aluminum-based terminal processing according to claim 1, characterized in that: The control of the punching force during the processing of the aluminum-based terminal block at the current moment includes: The deviation between the punching force data in all terminal processing data at the current moment and the preset ideal punching force is used as the input of the PID controller, wherein the proportional gain in the PID controller is set to the adaptive proportional gain at the current moment, and the punching force control signal is output to control the punching force of the aluminum-based terminal processing process at the current moment.

9. A stamping control system for aluminum-based terminal processing, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the stamping control method for aluminum-based terminal processing as described in any one of claims 1-8 are implemented.

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