Servo motor acceleration and deceleration control method of a press machine

Abstract

The application discloses a servo motor acceleration and deceleration control method of a press, and relates to the technical field of servo motor control, and the technical scheme points of the application comprise the following steps: obtaining a historical acceleration and deceleration control scheme of a servo motor of a press in a historical working period; performing corresponding correlation coefficient analysis on an influence factor set after implementation of a sub-control factor set in the historical press acceleration and deceleration control scheme and a control factor set targeted by each historical acceleration and deceleration control scheme to obtain a pretreatment coefficient set; obtaining a current acceleration and deceleration control scheme implemented by the press in a current working period; and statistically obtaining a target pretreatment coefficient set according to the correlation coefficient between influence factors generated by the pretreatment coefficient set on the current acceleration and deceleration control scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of servo motor control, more particularly, it relates to a servo motor acceleration and deceleration control method of a press. BACKGROUND

[0002] In the production operation of the press, the servo motor acceleration and deceleration control plays a key role in the performance of the equipment, the machining precision and the production efficiency. The traditional control mode is difficult to adapt to the complex and changeable production requirements. The traditional servo motor acceleration and deceleration control of the press relies on simple experience setting or fixed parameters, lacks effective mining of historical data, and the formulation and optimization of the control scheme are often based on the subjective judgment of engineers, resulting in unstable control effect. The existing technology has deficiencies in integrating historical data, quantifying control factor correlation and evaluating control effect, and it is difficult to accurately predict the actual effect of different control schemes, resulting in a lack of reliable basis for scheme evaluation and optimization. SUMMARY

[0003] In view of the deficiencies of the prior art, the purpose of the present application is to provide a servo motor acceleration and deceleration control method of a press.

[0004] To achieve the above-mentioned purpose, the present application provides the following technical scheme:

[0005] A servo motor acceleration and deceleration control method of a press, the method comprising the following steps:

[0006] Obtaining historical acceleration and deceleration control schemes of the servo motor of the press in the historical working period;

[0007] Performing corresponding correlation coefficient analysis on the influence factors of the historical press acceleration and deceleration control scheme after the implementation of the sub-control factor set to obtain a pre-processing coefficient set;

[0008] Obtaining a current acceleration and deceleration control scheme implemented in the current working period of the press, and statistically obtaining a target pre-processing coefficient set according to the correlation coefficients between the influence factors of the current acceleration and deceleration control scheme generated by the pre-processing coefficient set;

[0009] Analyzing the comprehensive control effect value of the current acceleration and deceleration control scheme to obtain an expected effect excess data set, and analyzing the weight ratio value of the factors corresponding to each current acceleration and deceleration control scheme to obtain a weight ratio value data set;

[0010] According to the target pre-processing coefficient set, the weight ratio value data set and the expected effect excess data set, the pre-increase control effect data of the current acceleration and deceleration control scheme is analyzed to obtain a qualified excess effect data set, and the control evaluation scheme of the current acceleration and deceleration control scheme is prioritized according to the qualified excess effect data set to obtain a control evaluation scheme prioritization result.

[0011] Preferably, the method further comprises the following steps:

[0012] Extracting the historical acceleration and deceleration control scheme into a plurality of sub-control schemes to obtain a set of sub-control schemes;

[0013] Statistically analyzing the influence factors of each sub-control scheme in the set of sub-control schemes to output a set of sub-control factors;

[0014] Statistically analyzing the influence factors generated by the set of sub-control factors implemented by the press in the historical working period.

[0015] Preferably, the influence factors generated by the set of sub-control factors implemented in the historical press acceleration and deceleration control scheme are analyzed in association with the set of control factors corresponding to each historical acceleration and deceleration control scheme to obtain a set of preprocessing coefficients, specifically comprising the following steps:

[0016] Extracting the correlation coefficients between the influence factors and the control factors corresponding to each historical acceleration and deceleration control scheme to obtain a set of correlation coefficients;

[0017] Screening the set of preprocessing coefficients from the set of correlation coefficients.

[0018] Preferably, the set of preprocessing coefficients is screened from the set of correlation coefficients, specifically comprising the following steps:

[0019] Comparing the set of correlation coefficients with a preset correlation coefficient determination threshold;

[0020] Screening the set of correlation coefficients greater than or equal to the preset correlation coefficient determination threshold to obtain a set of correlation coefficient results.

[0021] Preferably, the correlation coefficients between the influence factors generated by the current acceleration and deceleration control scheme are statistically analyzed according to the set of preprocessing coefficients to obtain a set of target preprocessing coefficients, specifically comprising the following steps:

[0022] According to the set of preprocessing coefficients, the total set of control factors corresponding to each sub-control scheme of the current acceleration and deceleration control scheme implemented by the press in the current working period is statistically analyzed;

[0023] According to the set of preprocessing coefficients, the total generated influence factors generated by the press in the current working period are statistically analyzed;

[0024] According to the set of preprocessing coefficients, the total set of preprocessing coefficients implemented by the press in the current working period is statistically analyzed;

[0025] Obtaining the current acceleration and deceleration control scheme currently implemented by the press, and obtaining the current set of control factors corresponding to each sub-control scheme in the current acceleration and deceleration control scheme;

[0026] The current control factor set, the total control factor set, the total generated impact factor and the total pretreatment coefficient set are processed and analyzed to obtain a target pretreatment coefficient set.

[0027] Preferably, the current control factor set, the total control factor set, the total generated impact factor and the total pretreatment coefficient set are processed and analyzed to obtain a target pretreatment coefficient set, specifically including the following steps:

[0028] The current control factor set is matched with the total control factor set to screen out a target factor set with the highest matching degree;

[0029] According to the target factor set, a corresponding target new generated impact factor is screened out from the total generated impact factor;

[0030] According to the target new generated impact factor, a target pretreatment coefficient set is extracted from the total pretreatment coefficient set.

[0031] Preferably, the comprehensive control effect value of the current acceleration and deceleration control scheme is analyzed to obtain an expected effect excess data set, specifically including the following steps:

[0032] The current acceleration and deceleration control scheme is estimated for the comprehensive control effect value to obtain a first comprehensive estimated effect value data set;

[0033] The first comprehensive estimated effect value data set is differentially calculated with the actual required effect threshold to obtain the expected effect excess data set.

[0034] Preferably, the target pretreatment coefficient set, the weight ratio value data set and the expected effect excess data set are used to analyze the pre-increase control effect data of the current acceleration and deceleration control scheme to obtain a standard excess effect data set, specifically including the following steps:

[0035] The target pretreatment coefficient set, the weight ratio value 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 a target pre-increase control effect data set;

[0036] Each sub-pre-increase control effect data of each type of current acceleration and deceleration control scheme in the target pre-increase control effect data set is superimposed to obtain the standard excess effect data set.

[0037] Preferably, the standard excess effect data set is used to prioritize the control evaluation results of the current acceleration and deceleration control scheme to obtain a control evaluation scheme priority sorting result, specifically including the following steps:

[0038] The standard excess effect data set is sorted in ascending order to obtain a standard excess effect value sorting result;

[0039] The current acceleration and deceleration control scheme is sorted according to the sorting result of the target excess effect value to obtain a control evaluation scheme priority sorting result of the current acceleration and deceleration control scheme.

[0040] An electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements a servo motor acceleration and deceleration control method of a press machine when executing the program.

[0041] Compared with the prior art, the present application has the following beneficial effects:

[0042] The present application obtains and analyzes historical acceleration and deceleration control schemes, analyzes the correlation between the influence factors of the sub-control factor set and the corresponding control factor set to construct a preprocessing coefficient set, and then analyzes the current scheme based on the preprocessing coefficient set to make the control strategy more in line with the actual production law. In the aspect of current scheme optimization, the preprocessing coefficient set is used to capture the correlation between the influence factors of the current acceleration and deceleration control scheme. The target preprocessing coefficient set is obtained by analyzing the pre-increment control effect data to obtain a target excess effect data set and sorting, so that the advantages and disadvantages of different control schemes can be clearly distinguished. In production, the better scheme is selected according to the sorting, so that the servo motor acceleration and deceleration control is more suitable for the production demand of the press machine, the stability and reliability of the press machine operation are improved, and problems such as equipment abnormality and product quality fluctuation caused by improper control are reduced. BRIEF DESCRIPTION OF DRAWINGS

[0043] Fig. 1 A step schematic diagram of a servo motor acceleration and deceleration control method of a press machine is provided for the present application;

[0044] Fig. 2 A schematic diagram of a target preprocessing coefficient set calculated in a servo motor acceleration and deceleration control method of a press machine is provided for the present application;

[0045] Fig. 3 A structure schematic diagram of an electronic device provided by the embodiment of the present application.

[0046] 610, processor; 620, communication interface; 630, memory; 640, communication bus. DETAILED DESCRIPTION

[0047] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0048] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, but the present application can also be implemented in other ways different from the description, and those skilled in the art can make similar generalizations without departing from the concept of the present application, therefore the present application is not limited to the specific embodiments disclosed below.

[0049] Second, the "one embodiment" or "an embodiment" referred to herein means a specific feature, structure, characteristic, or combination of features and / or characteristics described herein that can be included in at least one implementation of the present application. The various appearances of "in one embodiment" or "an embodiment" in the specification do not all refer to the same embodiment, although they can.

[0050] Referring to Figs. 1-3 as shown.

[0051] Embodiments further illustrate a servo motor acceleration and deceleration control method of a press machine proposed by the present application.

[0052] A servo motor acceleration and deceleration control method of a press machine, the method comprising the following steps:

[0053] Obtaining a historical acceleration and deceleration control scheme of a servo motor of a press machine in a historical working period;

[0054] Performing a corresponding correlation coefficient analysis on the influence factors of the historical press acceleration and deceleration control scheme and the control factor set targeted by each historical acceleration and deceleration control scheme to obtain a pre-processing coefficient set;

[0055] Obtaining a current acceleration and deceleration control scheme implemented by the press machine in a current working period, and statistically obtaining a target pre-processing coefficient set according to the correlation coefficients between the influence factors of the current acceleration and deceleration control scheme generated by the pre-processing coefficient set;

[0056] Analyzing the comprehensive control effect value of the current acceleration and deceleration control scheme to obtain an expected effect excess data set, and analyzing the weight ratio value of the factors targeted by each current acceleration and deceleration control scheme to obtain a weight ratio value data set;

[0057] According to the target pre-processing coefficient set, the weight ratio value data set and the expected effect excess data set, the pre-increase control effect data of the current acceleration and deceleration control scheme is analyzed to obtain a qualified excess effect data set, and the control evaluation result of the current acceleration and deceleration control scheme is prioritized to obtain a control evaluation scheme prioritization result.

[0058] The present application obtains a historical acceleration and deceleration control scheme of a servo motor of a press machine in a historical working period. It records the specific implementation of the servo motor acceleration and deceleration control under different working scenes and different production demands in the past.

[0059] Focus on the historical pressure acceleration and deceleration control scheme in the sub-control factor set, the sub-control factor set will produce a series of impact factors after the implementation in the actual production, and these impact factors are extracted. Corresponding to the control factor set of each historical acceleration and deceleration control scheme. Determine the close degree between the impact factors and the original control factor set after the implementation of the sub-control factor set, and select the preprocessing coefficient set from the correlation data.

[0060] In the current work cycle, the actual implementation of the current acceleration and deceleration control scheme of the press is obtained. According to the preprocessing coefficient set, the impact factors generated by the current acceleration and deceleration control scheme are judged. Because the production scene is changing, the impact factors of the current scheme have some relationship and differences with the historical scheme, the correlation coefficients between the impact factors of the current scheme are counted. These correlation coefficients can reflect the degree of interaction and mutual influence of each factor in the current scheme, so as to finally form the target preprocessing coefficient set. It is convenient to clearly understand the internal factor correlation of the current acceleration and deceleration control scheme.

[0061] The comprehensive control effect value of the current acceleration and deceleration control scheme is analyzed. Set reasonable effect evaluation indexes, such as the response speed and running stability of the motor acceleration and deceleration. Through the acquisition of relevant running data and the comprehensive control effect value, the expected effect excess data set is obtained by analyzing the comprehensive control effect value and the preset effect standard.

[0062] The weight ratio of each current acceleration and deceleration control scheme is analyzed. Because the influence degree of different factors on the final control effect is different in the acceleration and deceleration control process, the weight proportion of each factor in the current scheme is determined, so as to form the weight ratio data set.

[0063] The target preprocessing coefficient set, weight ratio data set and expected effect excess data set are integrated and used. The pre-increase control effect data of the current acceleration and deceleration control scheme is analyzed. The improvement of the current scheme in optimization, adjustment or continuous operation is estimated, and then the up-to-standard excess effect data set is obtained.

[0064] According to the up-to-standard excess effect data set, the control evaluation result of the current acceleration and deceleration control scheme is obtained, and the priority sorting processing is carried out. According to the advantages and disadvantages of the up-to-standard excess effect, different current acceleration and deceleration control schemes are arranged in priority. In actual production application, the priority sorting result can be used to select the better scheme for the acceleration and deceleration control of the press servo motor, so as to realize the optimization configuration of the control strategy in the production process.

[0065] Further comprising the following steps:

[0066] The historical acceleration and deceleration control scheme is extracted into each sub-control scheme to obtain the sub-control scheme set;

[0067] The statistical sub-control scheme set is extracted first, and the influence factors in each sub-control scheme in the sub-control scheme set are counted and outputted as a sub-control factor set;

[0068] The influence factors generated after the sub-control factor set is implemented by the press in the historical working period are counted.

[0069] The statistical sub-control scheme set is extracted first, and the influence factors in each sub-control scheme in the sub-control scheme set are counted and outputted as a sub-control factor set, such as the starting current of the motor, the acceleration and deceleration time length, and the equipment load change. These factors are summarized and formed into a sub-control factor set. The influence factors generated after the sub-control factor set is implemented by the press in the historical working period are counted, such as the vibration amplitude during the equipment operation, the energy consumption change, and the product machining precision deviation. In this way, the corresponding relationship between the control means (sub-control scheme) in the historical control scheme and the actual influence is combed.

[0070] The influence factors after the implementation of the sub-control factor set in the historical press acceleration and deceleration control scheme are analyzed in association with the control factor set of each historical acceleration and deceleration control scheme to obtain a pretreatment coefficient set, which specifically includes the following steps:

[0071] The correlation coefficients between the influence factors and the control factors of each historical acceleration and deceleration control scheme are extracted to obtain a correlation coefficient set;

[0072] The pretreatment coefficient set is selected from the correlation coefficient set.

[0073] The pretreatment coefficient set is selected from the correlation coefficient set, which specifically includes the following steps:

[0074] The correlation coefficient set is compared with a preset correlation coefficient determination threshold;

[0075] The correlation coefficient set greater than or equal to the preset correlation coefficient determination threshold is selected to obtain a correlation coefficient result set.

[0076] The application first locates the influence factors generated after the implementation of the sub-control factor set from the historical data, and the control factors of each historical acceleration and deceleration control scheme. The correlation degree between the two types of factors is judged, and the correlation is quantified in the form of a coefficient to obtain a correlation coefficient set. Based on the actual analysis requirements, the correlation coefficient set is selected and composed into a pretreatment coefficient set.

[0077] Assume that a press production enterprise has historical servo motor acceleration and deceleration control data from historical work cycles, which constitutes a historical acceleration and deceleration control scheme library. The control factors are the control parameters in the scheme, such as setting the motor start-up acceleration to 5 m / s² and the torque value in the deceleration phase to 10 N·m parameters. The control factor combination of each historical scheme is different. The influencing factors are the result data generated after the implementation of the scheme, such as the energy consumption (unit: kWh) during the motor acceleration and deceleration process, the running accuracy of the press slide (unit: mm), and the noise value (unit: dB) during equipment operation.

[0078] Scheme 1: The control factors are "start-up acceleration 4 m / s², deceleration torque 8 N·m", and the influencing factors after implementation are "energy consumption 1.2 kWh, slide accuracy 0.03 mm, noise 75 dB".

[0079] Scheme 2: The control factors are "start-up acceleration 6 m / s², deceleration torque 12 N·m", and the influencing factors are "energy consumption 1.5 kWh, slide accuracy 0.05 mm, noise 80 dB".

[0080] Scheme 3: The control factors are "start-up acceleration 5 m / s², deceleration torque 10 N·m", and the influencing factors are "energy consumption 1.3 kWh, slide accuracy 0.04 mm, noise 78 dB".

[0081] Determine the correlation between the influencing factors and the control factors. For example, analyze the relationship between "start-up acceleration (control factor)" and "energy consumption (influencing factor)". Calculate the correlation coefficient between the start-up acceleration value and the energy consumption value in each historical scheme using the Pearson correlation coefficient calculation method. Assume that the correlation coefficient between the two in Scheme 1 is 0.8 (the closer the coefficient is to 1, the tighter the correlation), 0.7 in Scheme 2, and 0.9 in Scheme 3. Determine the correlation between "deceleration torque" and "slide accuracy", "start-up acceleration" and "noise", and other groups of control factors and influencing factors. Collect all the calculated correlation coefficients to form a correlation coefficient set, including the correlation degree data between various control factors and influencing factors in the historical data.

[0082] After obtaining the correlation coefficient set, filter out the correlation coefficients that are valuable for subsequent analysis to form a pre-processing coefficient set. The enterprise sets a pre-set correlation coefficient threshold value according to the actual needs of press control, such as setting the threshold value to 0.6, and retaining the correlation relationships with correlation coefficients ≥ 0.6.

[0083] Filter out all correlation coefficients that meet the threshold requirements. These coefficients represent strong correlations between control factors and influencing factors, and the set they form is the pre-processing coefficient set. Subsequent evaluations of scheme effectiveness and optimization of control strategies are based on these key correlations.

[0084] According to the correlation coefficient between the influencing factors of the current acceleration and deceleration control scheme and the pre-processing coefficient set, a target pre-processing coefficient set is obtained, which includes the following steps:

[0085] According to the pre-processing coefficient set, the 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 period is counted;

[0086] According to the pre-processing coefficient set, the total generated influencing factors generated by the press in the current working period are counted;

[0087] According to the pre-processing coefficient set, the total pre-processing coefficient set implemented by the press in the current working period is counted;

[0088] The current acceleration and deceleration control scheme implemented by the press is obtained, and the current control factor set corresponding to each sub-control scheme in the current acceleration and deceleration control scheme is obtained;

[0089] The current control factor set, the total control factor set, the total generated influencing factors and the total pre-processing coefficient set are processed and analyzed to obtain the target pre-processing coefficient set.

[0090] The pre-processing coefficient set is the key correlation information selected from historical data. According to the pre-processing coefficient set, the 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 period is counted. The control parameters involved in different sub-control schemes in the current scheme are integrated according to the correlation rules of the pre-processing coefficient set. According to the pre-processing coefficient set, the total generated influencing factors generated by the press during the implementation process in the current working period are counted, that is, the various result data caused by control operation in actual operation are collected according to the correlation logic of the pre-processing coefficient set, and the total pre-processing coefficient set corresponding to the current working period is counted.

[0091] The current acceleration and deceleration control scheme actually implemented by the press and the current control factor set corresponding to each sub-control scheme in the scheme are obtained. The current control factor set, the total control factor set, the total generated influencing factors and the total pre-processing coefficient set are comprehensively processed and analyzed. Based on the data matching logic, the most suitable part of the total control factor set is found from the current control factor set, and the related result data is selected in the total generated influencing factors, and finally the key correlation is extracted from the total pre-processing coefficient set to obtain the target pre-processing coefficient set.

[0092] The current control factor set, the total control factor set, the total generated influencing factors and the total pre-processing coefficient set are processed and analyzed to obtain the target pre-processing coefficient set, which includes the following steps:

[0093] The current control factor set is matched with the total control factor set to select the target factor set with the highest matching degree;

[0094] According to the target factor set, the corresponding target new generated impact factor is screened from the total generated impact factor.

[0095] According to the target new generated impact factor, the target pretreatment coefficient set is extracted from the total pretreatment coefficient set.

[0096] The present application matches the current control factor set with the total control factor set. The total control factor set includes the control parameter conditions of various types of sub-control schemes in the history and current work cycle, and determines the part that the current control factor set fits in terms of parameter characteristics and associated logic, so as to be screened into the target factor set.

[0097] The total generated impact factor records various types of result data actually appeared after the press machine implements the control scheme. Because the target factor set and the current control factor set are highly matched, the relevant data corresponding to the target factor set, which can reflect the results generated after the implementation of the current scheme, is screened from the total generated impact factor, that is, the target new generated impact factor.

[0098] The total pretreatment coefficient set is the key associated data deposited in history. The target new generated impact factor determines the impact direction of the current scheme, and based on this, the coefficient set closely associated with it is screened from the total pretreatment coefficient set, thereby forming the target pretreatment coefficient set.

[0099] Suppose a press machine is used for metal stamping processing, and the current control factor set contains “start-up acceleration 6 m / s², deceleration stage torque 12 N·m, target speed 1500 r / min”.

[0100] The total control factor set: for example, contains the control parameters of historical schemes A (start-up acceleration 4 m / s², torque 8 N·m), B (start-up acceleration 5 m / s², torque 10 N·m), and C (start-up acceleration 7 m / s², torque 13 N·m).

[0101] The total generated impact factor: for example, after the implementation of scheme A, “energy consumption 2.0 kWh, stamping part precision deviation 0.04 mm, equipment vibration amplitude 0.6 mm”; after the implementation of scheme B, “energy consumption 2.2 kWh, precision deviation 0.03 mm, vibration amplitude 0.5 mm”; after the implementation of scheme C, “energy consumption 2.5 kWh, precision deviation 0.05 mm, vibration amplitude 0.7 mm”, etc.

[0102] The total pretreatment coefficient set: records the association strength of control factors and impact factors in each set of historical schemes, for example, the association coefficient of start-up acceleration and energy consumption in scheme A is 0.8, the association coefficient of torque and precision deviation is 0.7; the association coefficient of start-up acceleration and vibration amplitude in scheme B is 0.9.

[0103] First, find the target factor set most similar to the current control factor set from the total control factor set. Calculate the similarity between the current control factor set and each set of solutions in the total control factor set by cosine similarity. The higher the similarity, the closer the characteristics of the control parameters (such as the numerical combination of acceleration and torque).

[0104] Select the target new impact factor corresponding to the target factor set from the total generated impact factor. Each set of control factors will generate corresponding impact factors (such as energy consumption and precision) after implementation.

[0105] After the implementation of scheme C, the total generated impact factor records "energy consumption 2.5kWh, precision deviation 0.05mm, vibration amplitude 0.7mm". These results are generated by the control parameters "7m / s², 13N・m", and the parameters of the current scheme "6m / s², 12N・m" are highly similar, so the "energy consumption, precision deviation, and vibration amplitude" of scheme C are selected as the target new impact factor.

[0106] According to the target new impact factor, extract the target preprocessing coefficient set from the total preprocessing coefficient set. The total preprocessing coefficient set records the correlation coefficients of control factors and impact factors in each historical scheme, and the target new impact factor corresponds to the correlation of the target factor set.

[0107] Scheme C records the correlation coefficients of start-up acceleration and energy consumption 0.85, and the correlation coefficients of torque and vibration amplitude 0.9 in the total preprocessing coefficient set.

[0108] These coefficients reflect the correlation strength of how control parameters affect results, so extract the correlation coefficients corresponding to scheme C to form the target preprocessing coefficient set.

[0109] The expected effect excess data set is obtained by analyzing the comprehensive control effect value of the current acceleration and deceleration control scheme, including the following steps:

[0110] The first comprehensive estimated effect value data set is obtained by estimating the comprehensive control effect value of the current acceleration and deceleration control scheme.

[0111] The first comprehensive estimated effect value data set is obtained by estimating the comprehensive control effect value of the current acceleration and deceleration control scheme.

[0112] The evaluation model is constructed according to the control factors involved in the current scheme, the effect performance corresponding to the control factors, and the actual production demand of the press, wherein the control factors include the acceleration and deceleration parameters and the running logic of the motor. The first comprehensive estimated effect value data set is obtained by quantitatively estimating the comprehensive control effect that can be achieved after the implementation of the current scheme, including the estimated values of acceleration and deceleration efficiency, press running stability, and product machining precision.

[0113] Clarify the control details in the current scheme, such as the acceleration and deceleration rate of the servo motor, the torque control in different stages, and the coordination logic with the press stamping action, which constitutes the control factor basis. Retrieve the effect data of the historical acceleration and deceleration control scheme with similar characteristics of the current control factors in the historical data, including the smoothness of motor operation, the production efficiency of the press, the processing precision standard, and the energy consumption level.

[0114] With the help of multiple linear regression to judge the correlation between the historical control factor changes and the effect indicators, or with machine learning model to learn the complex factor and effect relationship, input the control factors of the current scheme into the model. The model will simulate and calculate the effects of the current scheme after implementation in terms of motor response speed, press stamping rhythm matching degree, product processing quality stability, and energy consumption.

[0115] Classify and quantify the simulated effects according to different dimensions, such as efficiency dimension, precision dimension, and energy consumption dimension, and aggregate the estimated values of each dimension 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.

[0116] The actual need effect threshold is determined according to the production tasks and quality standards of the press, representing the minimum effect standard that the scheme needs to achieve. By calculating the difference between the first comprehensive estimated effect value data set and the actual need effect threshold, the expected effect excess data set is obtained, which can clearly present the estimated effect of the current acceleration and deceleration control scheme.

[0117] 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 is analyzed to obtain the standard excess effect data set, which includes the following steps:

[0118] 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 is analyzed to obtain the standard excess effect data set, which includes the following steps:

[0119] Superimpose each sub-pre-increase control effect data of the current acceleration and deceleration control scheme in the target pre-increase control effect data set to obtain the standard excess effect data set.

[0120] The target preprocessing coefficient set carries the key correlation between control factors and influencing factors; the weight ratio data set reflects the importance difference of each control factor on the final effect; the expected effect excess data set reflects the difference between the estimated effect of the scheme and the standard requirement.

[0121] Based on the three types of data sets, an evaluation model is constructed to judge the difference effect value of the current acceleration and deceleration control scheme. The model simulates the pre-increase control effect of each sub-control link after optimization or adjustment of the scheme according to the correlation in the target pre-processing coefficient set, the weight consideration of different factors combined with the weight ratio data set, and the reference of the target difference value of the expected effect excess data set. The pre-increase effects are classified and counted according to the sub-control scheme to form the target pre-increase control effect data set.

[0122] The target pre-increase control effect data set is superimposed with each sub-pre-increase control effect data belonging to the current acceleration and deceleration control scheme. Because a complete acceleration and deceleration control scheme is composed of multiple sub-control schemes, only the pre-increase effects of each sub-scheme can be summarized to obtain the comprehensive target excess effect of the control scheme, and finally form the target excess effect data set, which provides core data support for the subsequent priority sorting and optimization decision of the scheme.

[0123] According to the target excess effect data set, the control evaluation scheme priority sorting result of the current acceleration and deceleration control scheme is obtained by priority sorting processing, which specifically includes the following steps:

[0124] The target excess effect data set is sorted in ascending order to obtain the target excess effect value sorting result.

[0125] According to the target excess effect value sorting result, the current acceleration and deceleration control scheme is sorted to obtain the control evaluation scheme priority sorting result of the current acceleration and deceleration control scheme.

[0126] The application sorts the data set in ascending order, arranges the data values from small to large, clearly presents the numerical difference of different control schemes in the target excess effect, and obtains the target excess effect value sorting result.

[0127] According to the target excess effect value sorting result, the corresponding current acceleration and deceleration control scheme is sorted. Because the higher the target excess effect value is, the better the control scheme exceeds the expected effect after meeting the production target requirement, and the better the comprehensive performance of the press servo motor acceleration and deceleration control is. Through such sorting logic, the control schemes are distinguished according to the advantages and disadvantages, and finally the control evaluation scheme priority sorting result of the current acceleration and deceleration control scheme is obtained, which facilitates the selection of control schemes with better effect in actual production application, and improves the efficiency and quality of the press operation.

[0128] An electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements a servo motor acceleration and deceleration control method of a press when executing the program.

[0129] As Fig. 3As shown, the electronic device can include a processor 610, a communications interface 620, a memory 630 and a communications bus 640, wherein the processor 610, the communications interface 620 and the memory 630 complete mutual communication through the communications bus 640. The processor 610 can invoke the logic instruction in the memory 630 to execute a servo motor acceleration and deceleration control method of a press machine.

[0130] In addition, the logic instruction in the memory 630 described above can be realized in the form of a software function unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0131] On the other hand, the present application 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, and the computer program is executed by a processor, so that the computer can execute a servo motor acceleration and deceleration control method of a press machine.

[0132] In another aspect, the present application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize a servo motor acceleration and deceleration control method of a press machine.

[0133] The device embodiments described above are only schematic, wherein the units shown as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the present embodiment scheme according to actual needs. Those skilled in the art can understand and implement it without creative labor.

[0134] Those skilled in the art can clearly understand the technical solutions of the various embodiments from the above description of the embodiments, and the various embodiments can be implemented by means of software with the necessary general hardware platforms, and of course, can also be implemented by hardware. Based on such understanding, the above technical solutions, essentially or in other words, the part of the prior art that makes a contribution, can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, and the like, and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0135] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for some technical features therein; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A servo motor acceleration / deceleration control method for a press, characterized in that, The method includes the following steps: Obtain the historical acceleration and deceleration control schemes of the servo motor of the press during its historical working cycle; The preprocessed coefficient set is obtained by performing correlation coefficient analysis between the influencing factors after the implementation of the sub-control factor sets in the historical pressure acceleration / deceleration control schemes and the control factor sets targeted by each historical acceleration / deceleration control scheme. The specific steps include: The correlation coefficient set is obtained by extracting the correlation coefficients between the influencing factors and the control factors targeted by each historical acceleration / deceleration control scheme. The process of selecting a preprocessing coefficient set from the correlation coefficient set includes the following steps: Compare the set of correlation coefficients with the preset correlation coefficient judgment threshold; After filtering out the set of correlation coefficients that are greater than or equal to the preset correlation coefficient judgment threshold, the correlation coefficient result set is obtained; Obtain the current acceleration / 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 / deceleration control scheme based on the preprocessing coefficient set to obtain the target preprocessing coefficient set. This process includes the following steps: Based on the preprocessing coefficient set, the total set of control factors corresponding to each sub-control scheme of the current acceleration / deceleration control scheme implemented by the press in the current working cycle is statistically analyzed. Based on the statistics of the pre-processing coefficient set, the total influencing factors generated by the press operation during the current working cycle are analyzed. The total set of pretreatment coefficients implemented by the press during the current work cycle is calculated based on the set of pretreatment coefficients. Obtain the current acceleration / deceleration control scheme currently implemented by the press, and obtain the current set of control factors for each sub-control scheme in the current acceleration / deceleration control scheme; The target preprocessing coefficient set is obtained by processing and analyzing 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. This process includes the following steps: The current set of control factors is matched with the total set of control factors to select the target set with the highest matching degree; Based on the target factor set, select the corresponding new target influencing factors from the total influencing factors; Based on the newly generated influencing factors of the target, the target preprocessing coefficient set is extracted from the total preprocessing coefficient set; The expected effect excess dataset is obtained by analyzing the comprehensive control effect value of the current acceleration and deceleration control schemes, and the weight ratio dataset is obtained by analyzing the weight ratio of each current acceleration and deceleration control scheme for each factor. The pre-increase control effect data of the current acceleration / deceleration control scheme are analyzed based on the target pre-processing coefficient set, weight ratio dataset, and expected effect excess dataset to obtain the target excess effect dataset. The specific steps include: Based on the target preprocessing coefficient set, weight ratio dataset, and expected effect excess dataset, the difference effect value in the current acceleration / deceleration control scheme is estimated to obtain the target pre-increase control effect dataset; The target pre-increase control effect dataset is obtained by superimposing the sub-pre-increase control effect data of each type of current acceleration / deceleration control scheme in the target pre-increase control effect dataset; Based on the dataset of achievement and excess effects, the control evaluation results of the current acceleration and deceleration control schemes are prioritized to obtain the priority ranking results of the control evaluation schemes.

2. The servo motor acceleration / deceleration control method for a press according to claim 1, characterized in that, It also includes the following steps: The historical acceleration / deceleration control schemes are processed by extracting each sub-control scheme to obtain a set of sub-control schemes; After analyzing the influencing factors of each sub-control scheme in the statistical sub-control scheme set, output the sub-control factor set; The statistical analysis of the influencing factors generated after the implementation of sub-control factor sets for the press during the historical working cycle.

3. The servo motor acceleration / deceleration control method for a press according to claim 1, characterized in that, The analysis of the overall control effect of the current acceleration / deceleration control scheme yields the expected effect excess dataset, specifically including the following steps: The first comprehensive predicted effect value dataset is obtained by predicting the comprehensive control effect value of the current acceleration / deceleration control scheme. The difference between the first comprehensive estimated effect value dataset and the actual required effect threshold is calculated to obtain the expected effect excess dataset.

4. The servo motor acceleration / deceleration control method for a press according to claim 1, characterized in that, Based on the dataset of achievement and excess effects, the control evaluation results of the current acceleration / deceleration control schemes are prioritized to obtain the priority ranking results of the control evaluation schemes. The specific steps include: Sort the dataset of achieving and exceeding targets in ascending order to obtain the sorted results of achieving and exceeding targets values; Based on the ranking results of the achievement and excess effect values, the current acceleration and deceleration control schemes are ranked accordingly to obtain the priority ranking result of the control evaluation schemes for the current acceleration and deceleration control schemes.

5. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements a servo motor acceleration / deceleration control method for a press as described in any one of claims 1 to 4.

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