Acceleration and deceleration control method for servo motor of press machine

Abstract

The invention discloses an acceleration and deceleration control method for a servo motor of a press machine, and relates to the technical field of servo motor control, and the method comprises the following steps: obtaining a historical acceleration and deceleration control scheme of the servo motor of the press machine in a historical work period; performing corresponding correlation coefficient analysis on the influence factors after the implementation of the sub-control factor set in the historical pressure acceleration and deceleration control scheme and the control factor set for each historical acceleration and deceleration control scheme to obtain a preprocessing coefficient set; acquiring a current acceleration and deceleration control scheme implemented by the press machine in the current working period, and counting correlation coefficients among influence factors generated by the current acceleration and deceleration control scheme according to the preprocessing coefficient set to obtain a target preprocessing coefficient set; the effect is that the acceleration and deceleration control of the servo motor is more adaptive to the production requirements of the press.

Description

Technical Field

[0001] The present invention relates to the technical field of servo motor control, and more particularly to a servo motor acceleration and deceleration control method for a press. Background Art

[0002] In the production operation of a press, servo motor acceleration and deceleration control plays a key role in equipment performance, processing accuracy, and production efficiency. Traditional control methods are difficult to adapt to complex and changing production needs. Traditional press servo motor acceleration and deceleration control relies on simple empirical settings or fixed parameters, lacking effective mining of historical data. The formulation and optimization of control plans are often based on the subjective judgment of engineers, resulting in unstable control effects. Existing technologies have shortcomings in integrating historical data, quantifying the correlation between control factors, and evaluating control effects. It is difficult to accurately predict the actual effects of different control plans, resulting in a lack of reliable basis for plan evaluation and optimization. Summary of the Invention

[0003] In view of the deficiencies in the prior art, the present invention aims to provide a method for accelerating and decelerating a servo motor of a press.

[0004] To achieve the above object, the present invention provides the following technical solutions: A method for accelerating and decelerating a servo motor of a press, the method comprising the following steps: Obtain the historical acceleration and deceleration control scheme of the servo motor of the press during its historical working cycle; The influence factors after the implementation of the sub-control factor set in the historical pressure acceleration and deceleration control scheme are analyzed with the corresponding correlation coefficients of the control factor set targeted by each historical acceleration and deceleration control scheme to obtain a preprocessing coefficient set; Obtain the current acceleration and deceleration control scheme implemented by the press in the current working cycle, and statistically analyze the correlation coefficients between the influencing factors of the current acceleration and deceleration control scheme based on the preprocessing coefficient set to obtain a target preprocessing coefficient set; The comprehensive control effect value of the current acceleration and deceleration control scheme is analyzed to obtain an expected effect excess data set, and the weight ratio of each factor of the current acceleration and deceleration control scheme is analyzed to obtain a weight ratio data set; According to the target preprocessing coefficient set, the weight ratio data set and the expected effect excess data set, the pre-increase control effect data of the current acceleration and deceleration control scheme are analyzed to obtain the target excess effect data set. According to the target excess effect data set, the control evaluation results of the current acceleration and deceleration control scheme are prioritized to obtain the control evaluation scheme priority ranking results.

[0005] Preferably, the method further comprises the following steps: Extracting each sub-control scheme from the historical acceleration and deceleration control scheme to obtain a sub-control scheme set; After calculating the influencing factors targeted by each sub-control scheme in the sub-control scheme set, a sub-control factor set is output; Statistics on the influencing factors generated after the press implements the sub-control factor set during the historical working cycle.

[0006] Preferably, the influencing factors after the implementation of the sub-control factor set in the historical pressure acceleration and deceleration control scheme are analyzed with the control factor set targeted by each historical acceleration and deceleration control scheme to obtain a preprocessing coefficient set, which specifically includes the following steps: Extract the correlation coefficients between the influencing factors and the control factors targeted by each historical acceleration and deceleration control scheme to obtain a correlation coefficient set; The preprocessing coefficient set is selected from the correlation coefficient set.

[0007] Preferably, screening out the preprocessing coefficient set from the correlation coefficient set specifically includes the following steps: comparing the correlation coefficient set with a preset correlation coefficient determination threshold; After filtering out the correlation coefficient sets that are greater than or equal to the preset correlation coefficient determination threshold, a correlation coefficient result set is obtained.

[0008] Preferably, the target preprocessing coefficient set is obtained by statistically analyzing the correlation coefficients between the influencing factors of the current acceleration / deceleration control scheme according to the preprocessing coefficient set, which specifically includes the following steps: According to the pre-processing coefficient set, a total control factor set corresponding to each sub-control scheme of the current acceleration and deceleration control scheme implemented by the press in the current working cycle is counted; According to the pre-processing coefficient set, the total influencing factors generated by the press in the current working cycle are counted; According to the preprocessing coefficient set, a total preprocessing coefficient set implemented by the press in the current working cycle is counted; Obtain the current acceleration and deceleration control scheme currently implemented by the press, and obtain the current control factor set targeted by each sub-control scheme in the current acceleration and deceleration control scheme; The current control factor set, the total control factor set, the total influencing factors and the total pre-processing coefficient set are processed and analyzed to obtain the target pre-processing coefficient set.

[0009] Preferably, the current control factor set, the total control factor set, the total influencing factors and the total preprocessing coefficient set are processed and analyzed to obtain a target preprocessing coefficient set, which specifically includes the following steps: Match the current control factor set with the total control factor set to select the target factor set with the highest matching degree; According to the target factor set, the corresponding target new influencing factors are screened out from the total influencing factors; The target preprocessing coefficient set is extracted from the total preprocessing coefficient set according to the target newly generated influencing factors.

[0010] Preferably, analyzing the comprehensive control effect value of the current acceleration / deceleration control scheme to obtain an expected effect excess data set specifically includes the following steps: Estimating the comprehensive control effect value of the current acceleration / deceleration control scheme to obtain a first comprehensive estimated effect value data set; The difference between the first comprehensive estimated effect value data set and the actual required effect reaching threshold is calculated to obtain the expected effect excess data set.

[0011] Preferably, the pre-increase control effect data of the current acceleration / deceleration control scheme is analyzed according to the target pre-processing coefficient set, the weight ratio data set, and the expected effect excess data set to obtain the target excess effect data set, which specifically includes the following steps: The target pre-processing coefficient set, the weight ratio data set and the expected effect excess data set are used to estimate the difference effect value in the current acceleration and deceleration control scheme to obtain the target pre-increase control effect data set; The target pre-increase control effect data set is obtained by superimposing the sub-pre-increase control effect data of each type of current acceleration and deceleration control scheme.

[0012] Preferably, the control evaluation results of the current acceleration and deceleration control schemes are prioritized according to the target-reaching and excess effect data set to obtain the control evaluation scheme priority ranking results, which specifically includes the following steps: Sort the target-reaching and excess-effect data set in ascending order to obtain the target-reaching and excess-effect value sorting result; According to the ranking results of the standard-reaching excess effect values, the current acceleration and deceleration control schemes are ranked accordingly to obtain the priority ranking results of the control evaluation schemes of the current acceleration and deceleration control schemes.

[0013] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, a method for accelerating and decelerating a servo motor of a press is implemented.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains and analyzes historical acceleration and deceleration control schemes, and constructs a pre-processing coefficient set by performing correlation coefficient analysis on the influencing factors after the implementation of the sub-control factor set and the corresponding control factor set. The subsequent analysis of the current scheme based on this can make the formulation of the control strategy more in line with the actual production rules. In terms of optimizing the current scheme, the pre-processing coefficient set is used to statistically calculate the target pre-processing coefficient set to capture the correlation between the influencing factors of the current acceleration and deceleration control scheme. The pre-increase control effect data is analyzed to obtain the standard excess effect data set and sort it, so that the advantages and disadvantages of different control schemes can be clearly distinguished. In production, the better scheme is selected based on the sorting, so that the servo motor acceleration and deceleration control is more compatible with the press production needs, the stability and reliability of the press operation are improved, and the problems of equipment abnormalities and product quality fluctuations caused by improper control are reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of the steps of a servo motor acceleration and deceleration control method for a press machine proposed by the present invention; Figure 2 A schematic diagram of a target preprocessing coefficient set calculated in a servo motor acceleration and deceleration control method for a press machine proposed by the present invention; Figure 3 It is a structural diagram of an electronic device provided by an embodiment of the present invention.

[0016] 610 , processor; 620 , communication interface; 630 , memory; 640 , communication bus. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0018] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0019] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it constitute a separate or selective embodiment that is mutually exclusive with other embodiments.

[0020] Reference Figure 1-Figure 3 shown.

[0021] The embodiment further illustrates the acceleration and deceleration control method of a servo motor of a press proposed by the present invention.

[0022] A method for accelerating and decelerating a servo motor of a press, the method comprising the following steps: Obtain the historical acceleration and deceleration control scheme of the servo motor of the press during its historical working cycle; The influence factors after the implementation of the sub-control factor set in the historical pressure acceleration and deceleration control scheme are analyzed with the corresponding correlation coefficients of the control factor set targeted by each historical acceleration and deceleration control scheme to obtain a preprocessing coefficient set; Obtain the current acceleration and deceleration control scheme implemented by the press in the current working cycle, and statistically analyze the correlation coefficients between the influencing factors of the current acceleration and deceleration control scheme based on the preprocessing coefficient set to obtain a target preprocessing coefficient set; The comprehensive control effect value of the current acceleration and deceleration control scheme is analyzed to obtain an expected effect excess data set, and the weight ratio of each factor of the current acceleration and deceleration control scheme is analyzed to obtain a weight ratio data set; According to the target preprocessing coefficient set, the weight ratio data set and the expected effect excess data set, the pre-increase control effect data of the current acceleration and deceleration control scheme are analyzed to obtain the target excess effect data set. According to the target excess effect data set, the control evaluation results of the current acceleration and deceleration control scheme are prioritized to obtain the control evaluation scheme priority ranking results.

[0023] This application obtains the historical acceleration and deceleration control schemes of the servo motor of the press during its historical working cycle, and records the specific implementation methods of the servo motor acceleration and deceleration control under different working scenarios and different production requirements in the past.

[0024] Focusing on the sub-control factor sets in historical pressure acceleration and deceleration control schemes, the authors extracted a series of influencing factors generated by their implementation in actual production. These factors were then compared with the control factor sets targeted by each historical acceleration and deceleration control scheme. The correlation between the influencing factors of the sub-control factor sets implemented after implementation and the original control factor sets was determined, and a preprocessing coefficient set was obtained by filtering the extensive correlation data.

[0025] The current acceleration and deceleration control scheme actually implemented by the press during the current work cycle is obtained. The influencing factors of the current acceleration and deceleration control scheme are determined based on the preprocessing coefficient set. Because the production scenario changes, the influencing factors of the current scheme may be related to or different from those of historical schemes. The correlation coefficients between the influencing factors of the current scheme are calculated. These correlation coefficients reflect the degree of interaction and mutual influence among the factors within the current scheme, ultimately forming the target preprocessing coefficient set. This facilitates a clear understanding of the internal correlations of the factors within the current acceleration and deceleration control scheme.

[0026] Analyze the comprehensive control effectiveness of the current acceleration and deceleration control scheme. Set appropriate effectiveness evaluation indicators, such as motor acceleration and deceleration response speed and operational stability. Collect relevant operating data to obtain a comprehensive control effectiveness value. Compare this comprehensive control effectiveness value with the preset effectiveness standards to generate an expected effectiveness excess dataset.

[0027] Analyze the weight ratios of the factors in each current acceleration and deceleration control scheme. Because different factors have different impacts on the final control effect during the acceleration and deceleration control process, determine the weight ratio of each factor in the current scheme to form a weight ratio data set.

[0028] Integrate and utilize the target preprocessing coefficient set, weight ratio data set, and expected excess effect data set. Analyze the pre-increase control effect data of the current acceleration / deceleration control scheme. Estimate the improvement of the current scheme through optimization, adjustment, or continuous operation, and thus obtain the target excess effect data set.

[0029] The control evaluation results of the current acceleration and deceleration control schemes are evaluated and prioritized based on the target-attainment and excess performance dataset. The current acceleration and deceleration control schemes are prioritized based on their performance. In actual production applications, this prioritization results can be used to select the optimal acceleration and deceleration control scheme for the press servo motor, achieving optimal control strategy configuration during the production process.

[0030] The following steps are also included: Extracting each sub-control scheme from the historical acceleration and deceleration control scheme to obtain a sub-control scheme set; After calculating the influencing factors targeted by each sub-control scheme in the sub-control scheme set, a sub-control factor set is output; Statistics on the influencing factors generated after the press implements the sub-control factor set during the historical working cycle.

[0031] This application first extracts a set of sub-control schemes, counts the influencing factors targeted by each sub-control scheme in the sub-control scheme set, such as the starting current of the motor, the acceleration and deceleration time, and the equipment load change, and summarizes these factors to form a sub-control factor set. The influencing factors generated when the press actually executes the sub-control factor set are counted, such as the vibration amplitude during equipment operation, energy consumption changes, and product processing accuracy deviation. In this way, the correspondence between the control means (sub-control schemes) and the actual impact in the historical control schemes is sorted out.

[0032] The influence factors after the implementation of the sub-control factor set in the historical pressure acceleration and deceleration control scheme are analyzed with the corresponding correlation coefficients of the control factor sets targeted by each historical acceleration and deceleration control scheme to obtain a preprocessing coefficient set, which specifically includes the following steps: Extract the correlation coefficients between the influencing factors and the control factors targeted by each historical acceleration and deceleration control scheme to obtain a correlation coefficient set; The preprocessing coefficient set is selected from the correlation coefficient set.

[0033] Screening out a preprocessing coefficient set from the correlation coefficient set specifically includes the following steps: comparing the correlation coefficient set with a preset correlation coefficient determination threshold; After filtering out the correlation coefficient sets that are greater than or equal to the preset correlation coefficient determination threshold, a correlation coefficient result set is obtained.

[0034] This application first identifies the influencing factors resulting from the implementation of the sub-control factor set from historical data, as well as the control factors targeted by each historical acceleration and deceleration control scheme. The correlation between the two factors is determined, and this correlation is quantified as a coefficient to form a set of correlation coefficients. Based on actual analysis requirements, the correlation coefficient set is then screened and selected to form a preprocessing coefficient set.

[0035] Suppose a press manufacturer has a library of historical acceleration and deceleration control schemes based on the acceleration and deceleration control data of its servo motors over historical operating cycles. Control factors are the control parameters within the scheme, such as setting the motor's starting acceleration to 5 m / s² and the deceleration torque to 10 N·m. Each historical scheme has a different combination of control factors. Influencing factors are the resulting data after the scheme is implemented, such as the motor's energy consumption during acceleration and deceleration (kWh), the press slide's operating accuracy (mm), and the equipment's operating noise level (dB).

[0036] Solution 1: The control factors are "starting acceleration 4m / s², deceleration torque 8N·m." The impact factors after implementation are "energy consumption 1.2kWh, slider accuracy 0.03mm, and noise 75dB."

[0037] Solution 2: The control factors are "starting acceleration 6m / s², deceleration torque 12N·m", and the influencing factors are "energy consumption 1.5kWh, slider accuracy 0.05mm, and noise 80dB."

[0038] Solution 3: The control factors are "starting acceleration 5m / s², deceleration torque 10N·m", and the influencing factors are "energy consumption 1.3kWh, slider accuracy 0.04mm, and noise 78dB."

[0039] Determine the correlation between influencing factors and control factors. For example, analyze the relationship between "starting acceleration (control factor)" and "energy consumption (influencing factor)", and use the Pearson correlation coefficient calculation method to substitute the starting acceleration value and energy consumption value in each historical plan into the calculation. Assume that the correlation coefficient between the two in Plan 1 is 0.8 (the closer the coefficient is to 1, the closer the correlation is), 0.7 in Plan 2, and 0.9 in Plan 3. Determine the correlation between multiple groups of control factors and influencing factors such as "deceleration torque" and "slider accuracy", "starting acceleration" and "noise", and collect all these calculated correlation coefficients to form a correlation coefficient set, including the correlation degree data between various control factors and influencing factors in historical data.

[0040] Once the correlation coefficient set is obtained, the coefficients that are valuable for subsequent analysis must be screened out to form a preprocessing coefficient set. The company sets a preset correlation coefficient judgment threshold based on the actual needs of press control. For example, if the threshold is set to 0.6, then the correlation relationships with a correlation coefficient ≥ 0.6 will be retained.

[0041] All correlation coefficients that meet the threshold requirements are screened out. These coefficients represent the strong correlation between the control factors and the influencing factors. The set they form is the preprocessing coefficient set. Subsequently, the effectiveness of the plan is evaluated and the control strategy is optimized based on these key correlations.

[0042] The target preprocessing coefficient set is obtained by statistically analyzing the correlation coefficients between the influencing factors of the current acceleration and deceleration control scheme according to the preprocessing coefficient set, which specifically includes the following steps: According to the pre-processing coefficient set, a total control factor set corresponding to each sub-control scheme of the current acceleration and deceleration control scheme implemented by the press in the current working cycle is counted; According to the pre-processing coefficient set, the total influencing factors generated by the press in the current working cycle are counted; According to the preprocessing coefficient set, a total preprocessing coefficient set implemented by the press in the current working cycle is counted; Obtain the current acceleration and deceleration control scheme currently implemented by the press, and obtain the current control factor set targeted by each sub-control scheme in the current acceleration and deceleration control scheme; The current control factor set, the total control factor set, the total influencing factors and the total pre-processing coefficient set are processed and analyzed to obtain the target pre-processing coefficient set.

[0043] The preprocessing coefficient set is key correlation information filtered from historical data. Based on this set, the total control factor set corresponding to each sub-control scheme when the press implements the current acceleration and deceleration control scheme during the current work cycle is calculated. The control parameters involved in the different sub-control schemes in the current scheme are summarized and integrated according to the association rules of the preprocessing coefficient set. Based on the preprocessing coefficient set, the total influencing factors generated by the press implementation process during the current work cycle are calculated. In other words, the various result data caused by the actual operation of the control operation are aggregated according to the association logic of the preprocessing coefficient set, and the total preprocessing coefficient set corresponding to the current work cycle is calculated.

[0044] Obtain the press's currently executed acceleration and deceleration control scheme, along with the current set of control factors targeted by each sub-control scheme within that scheme. A comprehensive analysis is performed on the current set of control factors, the total set of control factors, the total set of influencing factors, and the total set of preprocessing coefficients. Using data matching logic, the most compatible components of the total set of control factors are identified. Relevant result data is then filtered from the total set of influencing factors. Finally, key correlations are extracted from the total set of preprocessing coefficients to determine the target set of preprocessing coefficients.

[0045] The current control factor set, the total control factor set, the total influencing factors and the total pre-processing coefficient set are processed and analyzed to obtain the target pre-processing coefficient set, specifically including the following steps: Match the current control factor set with the total control factor set to select the target factor set with the highest matching degree; According to the target factor set, the corresponding target new influencing factors are screened out from the total influencing factors; The target preprocessing coefficient set is extracted from the total preprocessing coefficient set according to the target newly generated influencing factors.

[0046] This application matches the current control factor set with the total control factor set. The total control factor set includes the control parameters of various sub-control schemes in the past and current working cycles, and determines the parts of the current control factor set that match the parameter characteristics and association logic, thereby screening them into the target factor set.

[0047] The total influencing factors record all kinds of result data that actually appear after the press implements the control plan. Because the target factor set and the current control factor set are highly matched, the relevant data corresponding to the target factor set and which can reflect the results produced after the implementation of the current plan are screened out from the total influencing factors, namely the target new influencing factors.

[0048] The total preprocessing coefficient set is the key correlation data accumulated historically. The newly generated influencing factors of the target clarify the impact direction of the current solution. Based on this, the coefficient set closely related to it is screened out from the total preprocessing coefficient set to form the target preprocessing coefficient set.

[0049] Consider a press used for metal stamping. The current set of control factors includes "starting acceleration 6 m / s², deceleration torque 12 N·m, and target speed 1500 r / min."

[0050] The total control factor set includes, for example, the control parameters for the historical plans A (starting acceleration 4 m / s², torque 8 N·m), B (starting acceleration 5 m / s², torque 10 N·m), and C (starting acceleration 7 m / s², torque 13 N·m).

[0051] Total influencing factors: for example, after the implementation of Plan A, "energy consumption 2.0kWh, stamping part accuracy deviation 0.04mm, equipment vibration amplitude 0.6mm"; after the implementation of Plan B, "energy consumption 2.2kWh, accuracy deviation 0.03mm, vibration amplitude 0.5mm"; after the implementation of Plan C, "energy consumption 2.5kWh, accuracy deviation 0.05mm, vibration amplitude 0.7mm", etc.

[0052] Total preprocessing coefficient set: records the correlation strength between the control factors and influencing factors in each historical plan. For example, in Plan A, the correlation coefficient between starting acceleration and energy consumption is 0.8, and the correlation coefficient between torque and accuracy deviation is 0.7; in Plan B, the correlation coefficient between starting acceleration and vibration amplitude is 0.9.

[0053] First, the target factor set that is most similar to the current control factor set is found from the total control factor set. The cosine similarity is used to calculate the similarity between the current control factor set and each solution in the total control factor set. The higher the similarity, the closer the control parameter characteristics (such as the numerical combination of acceleration and torque) are.

[0054] From the total influencing factors, select the target new influencing factors corresponding to the target factor set. Each set of control factors will generate corresponding influencing factors (such as energy consumption and accuracy) after implementation.

[0055] After implementing Plan C, the total influencing factors recorded were "energy consumption 2.5 kWh, accuracy deviation 0.05 mm, and vibration amplitude 0.7 mm." These results were generated by the control parameters of "7 m / s², 13 N·m." The parameters of the current plan (6 m / s², 12 N·m) are highly similar. Therefore, Plan C's "energy consumption, accuracy deviation, and vibration amplitude" were selected as target new influencing factors.

[0056] The target preprocessing coefficient set is extracted from the total preprocessing coefficient set based on the newly generated influencing factors of the target. The total preprocessing coefficient set records the correlation coefficients of the control factors and influencing factors in each set of historical plans. The newly generated influencing factors of the target correspond to the correlation relationship of the target factor set.

[0057] Scheme C records the correlation coefficient of 0.85 between starting acceleration and energy consumption and the correlation coefficient of 0.9 between torque and vibration amplitude in the total pre-processing coefficient set.

[0058] These coefficients reflect how the control parameters affect the correlation strength of the results, so the set of correlation coefficients corresponding to scheme C is extracted to form the target preprocessing coefficient set.

[0059] The comprehensive control effect value of the current acceleration and deceleration control scheme is analyzed to obtain the expected effect excess data set, which specifically includes the following steps: Estimating the comprehensive control effect value of the current acceleration / deceleration control scheme to obtain a first comprehensive estimated effect value data set; The difference between the first comprehensive estimated effect value data set and the actual required effect reaching threshold is calculated to obtain the expected effect excess data set.

[0060] This application constructs an evaluation model based on the control factors involved in the current solution, the corresponding performance of these control factors, and the actual production requirements of the press. Control factors include the motor's acceleration and deceleration parameters and operating logic. A first comprehensive estimated effect value dataset is generated by quantitatively estimating the comprehensive control effect that can be achieved after the current solution is implemented, including estimated values ​​for acceleration and deceleration efficiency, press operation stability, and product processing accuracy.

[0061] Clarify the control details of the current solution, such as the servo motor acceleration and deceleration rates, torque control at different stages, and the coordination logic with the press's stamping action. These form the foundation of the control factors. Retrieve historical data on the effectiveness of historical acceleration and deceleration control solutions with similar characteristics to the current control factors, including motor operation stability, press production efficiency, machining accuracy compliance, and energy consumption levels.

[0062] Using multiple linear regression to determine the correlation between historical changes in control factors and performance indicators, or using machine learning models to learn complex relationships between factors and effects, the control factors of the current solution are input into the model. The model then combines historical patterns to simulate the effects of the current solution on motor response speed, press cadence matching, product processing quality stability, and energy consumption.

[0063] These simulated effects are classified, organized, and quantified according to different dimensions, such as efficiency, accuracy, and energy consumption. The estimated values ​​of each dimension are summarized to form the first comprehensive estimated effect value data set, which can reflect the comprehensive control effect that the current acceleration and deceleration control scheme is expected to achieve from multiple angles.

[0064] The actual required performance threshold is determined based on the press's production tasks and quality standards, representing the minimum performance standard the solution must achieve. By calculating the difference between the first comprehensive estimated performance value dataset and the actual required performance threshold, we obtain the expected performance excess dataset, which clearly demonstrates the estimated performance of the current acceleration and deceleration control scheme.

[0065] The pre-increase control effect data of the current acceleration / deceleration control scheme is analyzed according to the target pre-processing coefficient set, the weight ratio data set, and the expected effect excess data set to obtain the target excess effect data set, which specifically includes the following steps: The target pre-processing coefficient set, the weight ratio data set and the expected effect excess data set are used to estimate the difference effect value in the current acceleration and deceleration control scheme to obtain the target pre-increase control effect data set; The target pre-increase control effect data set is obtained by superimposing the sub-pre-increase control effect data of each type of current acceleration and deceleration control scheme.

[0066] The target preprocessing coefficient set carries the key correlation rules between control factors and influencing factors; the weight ratio data set reflects the differences in the importance of each control factor on the final effect; and the expected effect excess data set reflects the difference between the estimated effect of the plan and the compliance requirements.

[0067] An evaluation model is constructed based on these three data sets to determine the differential effect of the current acceleration / deceleration control scheme. Based on the correlations within the target preprocessing coefficient set, the weighting of different factors in the weight ratio data set, and the reference to the differentials achieved in the expected effect excess data set, the model simulates and calculates the incremental control effect that each sub-control link can achieve after optimization or adjustment. These incremental effects are then categorized and statistically analyzed by sub-control scheme to form a target incremental control effect data set.

[0068] The target pre-increase control effect data set for each sub-pre-increase control effect belonging to the current acceleration / deceleration control scheme is superimposed. Because a complete acceleration / deceleration control scheme is composed of multiple sub-control schemes, only by aggregating the pre-increase effects of each sub-scheme can the control scheme's comprehensive target-reaching and excess performance be obtained. Ultimately, this target-reaching and excess performance data set is formed, providing core data support for prioritizing and optimizing subsequent schemes.

[0069] Prioritizing the control evaluation results of the current acceleration and deceleration control schemes according to the target-reaching and excess effect data set to obtain the control evaluation scheme priority ranking results, specifically including the following steps: Sort the target-reaching and excess-effect data set in ascending order to obtain the target-reaching and excess-effect value sorting result; According to the ranking results of the standard-reaching excess effect values, the current acceleration and deceleration control schemes are ranked accordingly to obtain the priority ranking results of the control evaluation schemes of the current acceleration and deceleration control schemes.

[0070] This application sorts the data set in ascending order, and arranges the data values ​​from small to large to clearly present the numerical differences in the compliance and excess effects of different control schemes, and obtains the compliance and excess effect value sorting results.

[0071] The current acceleration and deceleration control schemes are ranked accordingly based on the results of the standard-compliant excess effect value ranking. A higher standard-compliant excess effect value indicates that the control scheme has exceeded expectations after meeting production standards, and the overall performance of the press servo motor acceleration and deceleration control is better. This ranking logic distinguishes control schemes based on their performance, ultimately resulting in a prioritized ranking of control evaluation schemes for the current acceleration and deceleration control schemes. This facilitates the selection of the most effective control schemes in actual production applications, improving the efficiency and quality of press operation.

[0072] An electronic device includes a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the program, a method for accelerating and decelerating a servo motor of a press is implemented.

[0073] like Figure 3 As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communication bus 640, wherein the processor 610, the communications interface 620, and the memory 630 communicate with each other via the communication bus 640. The processor 610 may call logic instructions in the memory 630 to execute a method for accelerating and decelerating a servo motor of a press.

[0074] In addition, the logic instructions in the aforementioned memory 630 can be implemented in the form of a software functional unit and, when sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0075] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute a servo motor acceleration and deceleration control method for a press.

[0076] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is configured to execute a method for accelerating and decelerating a servo motor of a press when the computer program is executed by a processor.

[0077] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0078] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention 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. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for controlling acceleration and deceleration of a servo motor of a press, characterized in that: The method comprises the following steps: Obtain the historical acceleration and deceleration control scheme of the servo motor of the press during its historical working cycle; The influence factors after the implementation of the sub-control factor set in the historical pressure acceleration and deceleration control scheme are analyzed with the corresponding correlation coefficients of the control factor set targeted by each historical acceleration and deceleration control scheme to obtain a preprocessing coefficient set; Obtain the current acceleration and deceleration control scheme implemented by the press in the current working cycle, and statistically analyze the correlation coefficients between the influencing factors of the current acceleration and deceleration control scheme based on the preprocessing coefficient set to obtain a target preprocessing coefficient set; The comprehensive control effect value of the current acceleration and deceleration control scheme is analyzed to obtain an expected effect excess data set, and the weight ratio of each factor of the current acceleration and deceleration control scheme is analyzed to obtain a weight ratio data set; According to the target preprocessing coefficient set, the weight ratio data set and the expected effect excess data set, the pre-increase control effect data of the current acceleration and deceleration control scheme are analyzed to obtain the target excess effect data set. According to the target excess effect data set, the control evaluation results of the current acceleration and deceleration control scheme are prioritized to obtain the control evaluation scheme priority ranking results.

2. The servo motor acceleration and deceleration control method for a press according to claim 1, characterized in that: The following steps are also included: Extracting each sub-control scheme from the historical acceleration and deceleration control scheme to obtain a sub-control scheme set; After calculating the influencing factors targeted by each sub-control scheme in the sub-control scheme set, a sub-control factor set is output; Statistics on the influencing factors generated after the press implements the sub-control factor set during the historical working cycle.

3. The servo motor acceleration and deceleration control method for a press machine according to claim 2, characterized in that: The influence factors after the implementation of the sub-control factor set in the historical pressure acceleration and deceleration control scheme are analyzed with the corresponding correlation coefficients of the control factor sets targeted by each historical acceleration and deceleration control scheme to obtain a preprocessing coefficient set, which specifically includes the following steps: Extract the correlation coefficients between the influencing factors and the control factors targeted by each historical acceleration and deceleration control scheme to obtain a correlation coefficient set; The preprocessing coefficient set is selected from the correlation coefficient set.

4. The servo motor acceleration and deceleration control method for a press machine according to claim 3, characterized in that: Screening out a preprocessing coefficient set from the correlation coefficient set specifically includes the following steps: comparing the correlation coefficient set with a preset correlation coefficient determination threshold; After filtering out the correlation coefficient sets that are greater than or equal to the preset correlation coefficient determination threshold, a correlation coefficient result set is obtained.

5. The servo motor acceleration and deceleration control method for a press machine according to claim 1, characterized in that: The target preprocessing coefficient set is obtained by statistically analyzing the correlation coefficients between the influencing factors of the current acceleration and deceleration control scheme according to the preprocessing coefficient set, which specifically includes the following steps: According to the pre-processing coefficient set, a total control factor set corresponding to each sub-control scheme of the current acceleration and deceleration control scheme implemented by the press in the current working cycle is counted; According to the pre-processing coefficient set, the total influencing factors generated by the press in the current working cycle are counted; According to the preprocessing coefficient set, a total preprocessing coefficient set implemented by the press in the current working cycle is counted; Obtain the current acceleration and deceleration control scheme currently implemented by the press, and obtain the current control factor set targeted by each sub-control scheme in the current acceleration and deceleration control scheme; The current control factor set, the total control factor set, the total influencing factors and the total pre-processing coefficient set are processed and analyzed to obtain the target pre-processing coefficient set.

6. The method for accelerating and decelerating a servo motor of a press machine according to claim 5, characterized in that: The current control factor set, the total control factor set, the total influencing factors and the total pre-processing coefficient set are processed and analyzed to obtain the target pre-processing coefficient set, specifically including the following steps: Match the current control factor set with the total control factor set to select the target factor set with the highest matching degree; According to the target factor set, the corresponding target new influencing factors are screened out from the total influencing factors; The target preprocessing coefficient set is extracted from the total preprocessing coefficient set according to the target newly generated influencing factors.

7. The servo motor acceleration and deceleration control method for a press machine according to claim 1, characterized in that: The comprehensive control effect value of the current acceleration and deceleration control scheme is analyzed to obtain the expected effect excess data set, which specifically includes the following steps: Estimating the comprehensive control effect value of the current acceleration / deceleration control scheme to obtain a first comprehensive estimated effect value data set; The difference between the first comprehensive estimated effect value data set and the actual required effect reaching threshold is calculated to obtain the expected effect excess data set.

8. The servo motor acceleration and deceleration control method for a press machine according to claim 1, characterized in that: The pre-increase control effect data of the current acceleration / deceleration control scheme is analyzed according to the target pre-processing coefficient set, the weight ratio data set, and the expected effect excess data set to obtain the target excess effect data set, which specifically includes the following steps: The target pre-processing coefficient set, the weight ratio data set and the expected effect excess data set are used to estimate the difference effect value in the current acceleration and deceleration control scheme to obtain the target pre-increase control effect data set; The target pre-increase control effect data set is obtained by superimposing the sub-pre-increase control effect data of each type of current acceleration and deceleration control scheme.

9. The method for accelerating and decelerating a servo motor of a press machine according to claim 1, wherein: Prioritizing the control evaluation results of the current acceleration and deceleration control schemes according to the target-reaching and excess effect data set to obtain the control evaluation scheme priority ranking results, specifically including the following steps: Sort the target-reaching and excess-effect data set in ascending order to obtain the target-reaching and excess-effect value sorting result; According to the ranking results of the standard-reaching excess effect values, the current acceleration and deceleration control schemes are ranked accordingly to obtain the priority ranking results of the control evaluation schemes of the current acceleration and deceleration control schemes.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the servo motor acceleration and deceleration control method for a press machine as described in any one of claims 1 to 9 is implemented.

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