Servo press control method

Abstract

The application discloses a kind of servo press control method, belong to motor control technical field, comprising: establishing servo press operation initialization mechanism, and generate equipment initial operation parameter;Establish workpiece state acquisition mechanism, and establish multi-source state data set;Multi-source detection data is preprocessed and error compensation, and establishes real-time process state model;Establish dynamic process matching mechanism, and generate current press-fit process parameter;According to dynamic process curve, servo press control is executed, and press-fit process operation data is generated;According to press-fit process operation data, press-fit process quality evaluation mechanism is established, and exception identification is completed;According to press-fit process operation data and press-fit process quality evaluation mechanism, process parameter self-correction mechanism is established, and press-fit process database is updated.The servo press control method of the application is used, realizes the dynamic update of process database, improves the reliability, self-adapting ability and production efficiency of long-term operation of equipment.

Description

Technical Field

[0001] This invention relates to the field of motor control technology, and in particular to a servo press control method. Background Technology

[0002] A servo press is a pressure processing device that uses a servo motor as a power source and a transmission mechanism to achieve pressure output and displacement control. It can be used in various processes such as press fitting, assembly, forming, and straightening. Compared with traditional mechanical presses, servo presses have the characteristics of adjustable operating speed, controllable pressure output, and flexible motion curves, and therefore have been widely used in modern manufacturing.

[0003] As the manufacturing industry increasingly demands higher product precision, assembly consistency, and production efficiency, servo presses must not only meet basic pressing functions but also adapt to different workpieces, processes, and production cycles. In actual production, differences in workpiece materials, variations in assembly clearances, fluctuations in equipment operating conditions, and external environmental factors can all affect the stability of the pressing process and the final quality. If the control method is too simplistic, problems such as unstable pressure control, displacement tracking deviations, and insufficient process adaptability can easily arise, thus impacting product quality and equipment performance.

[0004] In existing technologies, servo presses are typically controlled using preset process parameters. While this can meet production needs under some routine conditions, it often lacks the ability to dynamically adjust the process under complex conditions or during long-term continuous operation. It also makes it difficult to fully analyze the equipment status and pressing results. Especially when different batches of workpieces are produced on mixed production lines, process conditions vary significantly, or equipment operates for extended periods, traditional control methods are easily affected by equipment wear and parameter drift, leading to decreased pressing accuracy, poor product consistency, and even increased downtime and maintenance costs. Summary of the Invention

[0005] The purpose of this invention is to provide a servo press control method to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides a servo press control method, comprising the following steps: S1. Establish the servo press operation initialization mechanism and generate the initial operating parameters of the equipment; S2. Establish a workpiece status acquisition mechanism using the initial operating parameters of the equipment, and establish a multi-source status dataset; S3. Preprocess and compensate for errors in the multi-source detection data in the multi-source state dataset, and establish a real-time process state model. S4. Establish a dynamic process matching mechanism based on the real-time process status model and generate the current press-fitting process parameters; S5. Perform servo press-fit control according to the dynamic process curve and generate press-fit process operation data; S6. Establish a quality evaluation mechanism for the pressing process based on the pressing process operation data, and complete the anomaly identification; S7. Establish a self-correction mechanism for process parameters based on the operation data of the pressing process and the quality evaluation mechanism of the pressing process, and update the pressing process database.

[0007] Preferably, S1 includes: S11. After the servo press is powered on, the MCU controls each functional unit to enter the initialization state, and performs communication testing and functional self-test on the servo driver, encoder, pressure sensor, displacement sensor, temperature sensor, humidity sensor, lead screw measuring device and parts detection device. S12. Read the zero-point parameters of each sensor, perform zero-point calibration on the pressure and displacement signals, and check whether the servo motor, ball screw and transmission mechanism are in normal standby state. S13. Once all detection units meet the preset operating conditions, generate the initial operating parameters of the equipment.

[0008] Preferably, S2 includes: S21. After the workpiece enters the press-fitting station, the MCU synchronously collects the workpiece position, part strength, size information, as well as the ambient temperature and humidity. S22: The displacement sensor detects the current position of the pressure head in real time, the pressure sensor detects the initial contact force of the press, and the part strength detection device obtains the material strength grade of the workpiece to be pressed. The lead screw measuring device detects the lead size, thread outer diameter, thread pitch diameter and axial clearance of the ball screw, compares them with the initial size of the lead screw in the initial operating parameters of the equipment, calculates the lead screw size deviation, and converts the ball screw wear compensation amount according to the size deviation. S23. The MCU synchronizes all detection data according to a unified time base and establishes a multi-source status dataset corresponding to the current press-fitting workpiece.

[0009] Preferably, S3 includes: S31. The MCU first filters the acquired pressure signal, displacement signal and environmental parameters. S32. Compensate for pressure drift and displacement drift based on ambient temperature and humidity, correct mechanical transmission errors based on actual ball screw dimensions and wear, and correct theoretical pressing force based on component strength. S33. After completing various compensations, the pressure, displacement, ambient temperature, ambient humidity, ball screw size, wear compensation amount and workpiece strength information are integrated to establish a real-time process state model.

[0010] Preferably, the real-time process status model includes at least the current pressing stage, the pressing resistance change trend, the mechanical transmission status, the environmental compensation status, and the workpiece stress status, which are used to comprehensively characterize the current operating status of the equipment and the current pressing status of the workpiece, and serve as input data for subsequent dynamic process matching.

[0011] Preferably, S4 includes: S41. The MCU identifies whether the current pressing stage is a rapid approach stage, contact detection stage, constant speed pressing stage, pressure holding stage, or unloading stage based on the real-time process status model, and calls the corresponding process flow template to generate a dynamic process curve corresponding to the current pressing stage. S42. Calculate the control parameters corresponding to each stage of the pressing process based on the real-time process state model; among them, determine the pressing displacement based on the target pressing depth and the current position of the equipment, determine the target pressing pressure based on the workpiece material strength and the allowable pressure range, determine the pressing speed and pressing acceleration based on the target pressing displacement and the production cycle, determine the holding time based on the stabilization time after the target pressure is reached, and determine the unloading speed and termination displacement based on the return distance of the pressing head, thereby forming complete pressing process parameters; S43. If environmental changes or equipment wear exceeding the preset range are detected, the corresponding process parameters are corrected, the optimal pressing process curve suitable for the current working conditions is generated, and sent to the servo drive unit.

[0012] Preferably, S5 includes: S51 and MCU control the servo driver to drive the servo motor to run. The servo motor drives the ball screw and the pressure head to complete the pressing action according to the dynamic process curve. S52. During the pressing process, the displacement sensor continuously feeds back the actual position of the press head, and the pressure sensor continuously feeds back the changes in pressing force. The motor speed, output torque and running position are dynamically corrected according to the deviation, so that the pressing process always maintains synchronous closed-loop control of pressure, displacement and speed. S53. Throughout the entire pressing process, the MCU synchronously records the pressure curve, displacement curve, speed curve, holding time, and control correction amount, forming complete pressing process operation data; S54. After reaching the target pressing position and target pressure, the pressure holding stage begins. After the preset pressure holding time is completed, the unloading action is performed.

[0013] Preferably, S6 includes: S61. After the pressing is completed, the MCU will comprehensively evaluate the pressing quality based on the pressure-displacement curve, speed change curve and time parameters formed throughout the pressing process. S62. Compare the actual peak pressure, final displacement, holding time and pressure change rate with the process standard. When any indicator exceeds the allowable error range, it is judged as a press-fitting abnormality. Analyze the abnormality type to determine if it is a workpiece abnormality, equipment wear, environmental change or sensor failure, and generate corresponding alarm information and abnormality records. S63. When all indicators meet the requirements, the pressing is deemed qualified.

[0014] Preferably, the comprehensive evaluation specifically includes: the MCU calculates the pressure peak, final displacement error, pressure stabilization time, holding pressure fluctuation rate, displacement tracking error, and pressure rise rate based on the pressure-displacement curve, speed change curve, time parameters, and control correction amount formed during the pressing process, and completes the comprehensive evaluation of the pressing quality according to the preset evaluation rules.

[0015] Preferably, S7 includes: S71 and MCU will associate and store all the operating data, process parameters and quality evaluation results collected during this pressing process to form a complete pressing history record. S72. For continuously qualified press-fitting batches, statistically analyze the changing trends of peak pressure, displacement error, pressure holding fluctuation rate, and control correction amount for each batch. S73. For operating conditions with continuous deviations, statistically analyze the abnormality type, number of abnormalities, and degree of abnormality. Adjust the corresponding process parameter correction coefficients according to the cause of the abnormality, and synchronously update the workpiece type, environmental compensation parameters, equipment wear compensation parameters, and corresponding process parameters in the dynamic process flow database.

[0016] Therefore, the servo press control method described above in this invention has the following beneficial effects: (1) By establishing an equipment initialization mechanism and initial operating parameters, a unified benchmark is provided for subsequent workpiece inspection and press-fitting control, which improves the consistency of inspection data and control accuracy.

[0017] (2) By integrating multi-source information such as workpiece position, workpiece strength, ambient temperature and humidity, ball screw size and wear compensation, a real-time process status model is established to achieve a comprehensive representation of equipment status, workpiece status and environmental status, thereby improving the accuracy of press fitting process matching.

[0018] (3) Dynamically calculate process parameters such as pressing speed, target pressure, holding time, and unloading speed according to the real-time process status model, and correct control parameters in real time according to the equipment operating status, so that the servo press can adapt to different workpieces and different working conditions, and improve the stability and consistency of the pressing process.

[0019] (4) Through the coordinated control of pressure, displacement and speed in a three-closed loop, real-time feedback and dynamic correction of the entire pressing process are realized, which effectively reduces the impact of environmental changes and mechanical wear on pressing accuracy and improves the pressing quality of products.

[0020] (5) By establishing a quality evaluation mechanism for the pressing process, the operation data of the entire pressing process is analyzed, and the process parameters are continuously optimized in combination with historical operation data to realize dynamic updates of the process database, improve the long-term reliability, adaptability and production efficiency of the equipment, and enhance the traceability and quality management capabilities of the pressing process.

[0021] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0022] Figure 1 This is a flowchart of a servo press control method according to an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0024] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0025] Example like Figure 1 As shown, the present invention provides a servo press control method, comprising the following steps: S1. Establish a servo press operation initialization mechanism, complete the equipment status self-check, and generate the initial operating parameters of the equipment.

[0026] In this embodiment, S1 includes: S11. After the servo press is powered on, the MCU controls each functional unit to enter the initialization state, and performs communication testing and functional self-test on the servo driver, encoder, pressure sensor, displacement sensor, temperature sensor, humidity sensor, lead screw measuring device and parts detection device.

[0027] S12. Read the zero-point parameters of each sensor, perform zero-point calibration on the pressure and displacement signals, and check whether the servo motor, ball screw and transmission mechanism are in normal standby state.

[0028] S13. Once all detection units meet the preset operating conditions, the initial operating parameters of the equipment are generated to provide a unified benchmark for subsequent press-fitting control.

[0029] S2. Establish a workpiece status acquisition mechanism using the initial operating parameters of the equipment, and establish a multi-source status dataset.

[0030] In this embodiment, S2 includes: S21. After the workpiece enters the pressing station, the MCU synchronously collects the workpiece position, part strength, size information, and operating parameters such as ambient temperature and humidity.

[0031] S22. The displacement sensor detects the current position of the pressure head in real time, the pressure sensor detects the initial contact force of the pressing, and the part strength testing device obtains the material strength grade of the workpiece to be pressed. The lead screw measuring device detects the ball screw lead size, thread outer diameter, thread pitch diameter and axial clearance, compares them with the initial size of the lead screw in the initial operating parameters of the equipment, calculates the lead screw size deviation, and converts the ball screw wear compensation amount according to the size deviation to characterize the influence of lead screw wear on the actual pressing displacement.

[0032] S23. The MCU synchronizes all detection data according to a unified time base and establishes a multi-source status dataset corresponding to the current press-fitting workpiece.

[0033] S3. Perform preprocessing and error compensation on the multi-source detection data in the multi-source state dataset to establish a real-time process state model.

[0034] In this embodiment, S3 includes: S31, the MCU first filters the acquired pressure signal, displacement signal and environmental parameters to eliminate high-frequency noise and transient interference.

[0035] S32. Compensate for pressure drift and displacement drift based on ambient temperature and humidity, correct mechanical transmission errors based on the actual size and wear of the ball screw, and correct the theoretical pressing force based on the strength of the parts.

[0036] S33. After completing all compensations, the pressure, displacement, ambient temperature, ambient humidity, ball screw dimensions, wear compensation, and workpiece strength information are integrated to establish a real-time process state model. The real-time process state model includes at least the current pressing stage, the pressing resistance change trend, the mechanical transmission state, the environmental compensation state, and the workpiece stress state. It is used to comprehensively characterize the current operating state of the equipment and the current pressing state of the workpiece, and serves as input data for subsequent dynamic process matching.

[0037] S4. Establish a dynamic process matching mechanism based on the real-time process status model and generate the current press-fitting process parameters.

[0038] In this embodiment, S4 includes: S41. The MCU identifies whether the current pressing stage is a rapid approach stage, contact detection stage, constant speed pressing stage, pressure holding stage, or unloading stage based on the real-time process status model, and calls the corresponding process flow template to generate a dynamic process curve corresponding to the current pressing stage.

[0039] S42. Based on the workpiece material strength, target pressing depth, allowable pressure range, ball screw wear compensation, environmental compensation parameters, and real-time equipment operating status in the real-time process state model, calculate the control parameters corresponding to each stage of the pressing process. Among them, the pressing displacement is determined based on the target pressing depth and the current position of the equipment; the target pressing pressure is determined based on the workpiece material strength and allowable pressure range; the pressing speed and pressing acceleration are determined based on the target pressing displacement and production cycle time; the holding time is determined based on the stabilization time after the target pressure is reached; and the unloading speed and termination displacement are determined based on the return distance of the pressing head, thus forming complete pressing process parameters.

[0040] S43. If environmental changes or equipment wear exceeding the preset range are detected, the corresponding process parameters are corrected, the optimal pressing process curve suitable for the current working conditions is generated, and sent to the servo drive unit.

[0041] S5. Perform servo press-fit control according to the dynamic process curve and generate press-fit process operation data.

[0042] In this embodiment, S5 includes: The S51 and MCU control the servo driver to drive the servo motor. The servo motor drives the ball screw and the press head to complete the pressing action according to the dynamic process curve.

[0043] S52. During the pressing process, the displacement sensor continuously provides feedback on the actual position of the pressing head, and the pressure sensor continuously provides feedback on changes in the pressing force. Based on the deviation, the motor speed, output torque, and operating position are dynamically corrected to ensure that the pressing process maintains synchronous closed-loop control of pressure, displacement, and speed. The dynamic deviation correction steps include: the MCU calculates in real time the deviations between the target pressure, target displacement, and target speed and the actual feedback values; adjusts the servo motor output torque based on the pressure deviation; adjusts the motor target position based on the displacement deviation; and adjusts the motor speed based on the speed deviation, ensuring that pressure, displacement, and speed always meet the preset control error range.

[0044] S53. Throughout the entire pressing process, the MCU synchronously records the pressure curve, displacement curve, speed curve, holding time, and control correction amount, forming complete pressing process operation data.

[0045] S54. After reaching the target pressing position and target pressure, the pressure holding stage begins. After the preset pressure holding time is completed, the unloading action is performed.

[0046] S6. Establish a quality evaluation mechanism for the pressing process based on the pressing process operation data, and complete the anomaly identification.

[0047] In this embodiment, S6 includes: S61. After the pressing process is completed, the MCU performs a comprehensive evaluation of the pressing quality based on the pressure-displacement curve, speed change curve, and time parameters generated throughout the pressing process. Specifically, the comprehensive evaluation includes: the MCU calculating evaluation indicators such as peak pressure, final displacement error, pressure stabilization time, holding pressure fluctuation rate, displacement tracking error, and pressure rise rate based on the pressure-displacement curve, speed change curve, time parameters, and control corrections generated during the pressing process, and completing the comprehensive evaluation of the pressing quality according to preset evaluation rules.

[0048] S62. Compare the actual peak pressure, final displacement, holding time, and pressure change rate with the process standard. When any indicator exceeds the allowable error range, it is determined to be an abnormal pressing operation. Analyze the abnormality type to determine if it is a workpiece abnormality, equipment wear, environmental change, or sensor failure. At the same time, generate corresponding alarm information and abnormality records.

[0049] S63. When all indicators meet the requirements, the pressing is deemed qualified.

[0050] S7. Establish a self-correction mechanism for process parameters based on the operation data of the pressing process and the quality evaluation mechanism of the pressing process, and update the pressing process database.

[0051] In this embodiment, S7 includes: S71 and MCU will associate and store all the operating data, process parameters and quality evaluation results collected during this pressing process to form a complete pressing history.

[0052] S72. For consecutive qualified pressing batches, statistically analyze the changing trends of peak pressure, displacement error, pressure holding fluctuation rate, and control correction amount for each batch. When the evaluation indicators of multiple consecutive batches are stable within the target range, under the premise of ensuring pressing quality, make minor adjustments to the pressing speed, target pressure, and pressure holding time according to the preset optimization step size to improve pressing efficiency and reduce equipment energy consumption.

[0053] S73. For working conditions with continuous deviations, the abnormality type, number of abnormalities and degree of abnormality are statistically analyzed. The correction coefficient of the corresponding process parameter is adjusted according to the cause of the abnormality. The workpiece type, environmental compensation parameter, equipment wear compensation parameter and corresponding process parameter in the dynamic process flow database are updated simultaneously so that the updated pressing process can be directly called for subsequent workpieces of the same type, thereby improving the stability, consistency and adaptability of the equipment in long-term operation.

[0054] Therefore, the servo press control method described above in this invention can comprehensively consider factors such as workpiece characteristics, environmental changes, and equipment wear, to achieve dynamic matching and real-time adjustment of press-fitting process parameters, improve press-fitting accuracy, consistency, and long-term operational stability of the equipment, and simultaneously achieve quality evaluation of the entire press-fitting process data and continuous process optimization. It is suitable for intelligent control of various servo presses.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A servo press control method, characterized in that: Includes the following steps: S1. Establish the servo press operation initialization mechanism and generate the initial operating parameters of the equipment; S2. Establish a workpiece status acquisition mechanism using the initial operating parameters of the equipment, and establish a multi-source status dataset; S3. Preprocess and compensate for errors in the multi-source detection data in the multi-source state dataset, and establish a real-time process state model. S4. Establish a dynamic process matching mechanism based on the real-time process status model and generate the current press-fitting process parameters; S5. Perform servo press-fit control according to the dynamic process curve and generate press-fit process operation data; S6. Establish a quality evaluation mechanism for the pressing process based on the pressing process operation data, and complete the anomaly identification; S7. Establish a self-correction mechanism for process parameters based on the operation data of the pressing process and the quality evaluation mechanism of the pressing process, and update the pressing process database.

2. The servo press control method according to claim 1, characterized in that: S1 includes: S11. After the servo press is powered on, the MCU controls each functional unit to enter the initialization state, and performs communication testing and functional self-test on the servo driver, encoder, pressure sensor, displacement sensor, temperature sensor, humidity sensor, lead screw measuring device and parts detection device. S12. Read the zero-point parameters of each sensor, perform zero-point calibration on the pressure and displacement signals, and check whether the servo motor, ball screw and transmission mechanism are in normal standby state. S13. Once all detection units meet the preset operating conditions, generate the initial operating parameters of the equipment.

3. The servo press control method according to claim 1, characterized in that: S2 includes: S21. After the workpiece enters the press-fitting station, the MCU synchronously collects the workpiece position, part strength, size information, as well as the ambient temperature and humidity. S22: The displacement sensor detects the current position of the pressure head in real time, the pressure sensor detects the initial contact force of the pressing, and the part strength testing device obtains the material strength grade of the workpiece to be pressed. The ball screw measuring device detects the ball screw lead size, thread outer diameter, thread pitch diameter and axial clearance, compares them with the initial dimensions of the ball screw in the initial operating parameters of the equipment, calculates the ball screw size deviation, and converts the size deviation to obtain the ball screw wear compensation amount. S23. The MCU synchronizes all detection data according to a unified time base and establishes a multi-source status dataset corresponding to the current press-fitting workpiece.

4. The servo press control method according to claim 1, characterized in that: S3 includes: S31. The MCU first filters the acquired pressure signal, displacement signal and environmental parameters. S32. Compensate for pressure drift and displacement drift based on ambient temperature and humidity, correct mechanical transmission errors based on actual ball screw dimensions and wear, and correct theoretical pressing force based on component strength. S33. After completing various compensations, the pressure, displacement, ambient temperature, ambient humidity, ball screw size, wear compensation amount and workpiece strength information are integrated to establish a real-time process state model.

5. The servo press control method according to claim 4, characterized in that: The real-time process status model includes at least the current pressing stage, the pressing resistance change trend, the mechanical transmission status, the environmental compensation status, and the workpiece stress status. It is used to comprehensively characterize the current operating status of the equipment and the current pressing status of the workpiece, and serves as input data for subsequent dynamic process matching.

6. The servo press control method according to claim 1, characterized in that: S4 includes: S41. The MCU identifies whether the current pressing stage is a rapid approach stage, contact detection stage, constant speed pressing stage, pressure holding stage, or unloading stage based on the real-time process status model, and calls the corresponding process flow template to generate a dynamic process curve corresponding to the current pressing stage. S42. Calculate the control parameters corresponding to each stage of the pressing process based on the real-time process state model; among them, determine the pressing displacement based on the target pressing depth and the current position of the equipment, determine the target pressing pressure based on the workpiece material strength and the allowable pressure range, determine the pressing speed and pressing acceleration based on the target pressing displacement and the production cycle, determine the holding time based on the stabilization time after the target pressure is reached, and determine the unloading speed and termination displacement based on the return distance of the pressing head, thereby forming complete pressing process parameters; S43. If environmental changes or equipment wear exceeding the preset range are detected, the corresponding process parameters are corrected, the optimal pressing process curve suitable for the current working conditions is generated, and sent to the servo drive unit.

7. The servo press control method according to claim 1, characterized in that: S5 include: S51 and MCU control the servo driver to drive the servo motor to run. The servo motor drives the ball screw and the pressure head to complete the pressing action according to the dynamic process curve. S52. During the pressing process, the displacement sensor continuously feeds back the actual position of the press head, and the pressure sensor continuously feeds back the changes in pressing force. The motor speed, output torque and running position are dynamically corrected according to the deviation, so that the pressing process always maintains synchronous closed-loop control of pressure, displacement and speed. S53. Throughout the entire pressing process, the MCU synchronously records the pressure curve, displacement curve, speed curve, holding time, and control correction amount, forming complete pressing process operation data; S54. After reaching the target pressing position and target pressure, the pressure holding stage begins. After the preset pressure holding time is completed, the unloading action is performed.

8. The servo press control method according to claim 1, characterized in that: S6 includes: S61. After the pressing is completed, the MCU will comprehensively evaluate the pressing quality based on the pressure-displacement curve, speed change curve and time parameters formed throughout the pressing process. S62. Compare the actual peak pressure, final displacement, holding time and pressure change rate with the process standard. When any indicator exceeds the allowable error range, it is judged as a press-fitting abnormality. Analyze the abnormality type to determine if it is a workpiece abnormality, equipment wear, environmental change or sensor failure, and generate corresponding alarm information and abnormality records. S63. When all indicators meet the requirements, the pressing is deemed qualified.

9. The servo press control method according to claim 8, characterized in that: The comprehensive evaluation specifically includes: the MCU calculates the pressure peak, final displacement error, pressure stabilization time, holding pressure fluctuation rate, displacement tracking error, and pressure rise rate based on the pressure-displacement curve, speed change curve, time parameters, and control corrections generated during the pressing process, and completes the comprehensive evaluation of the pressing quality according to the preset evaluation rules.

10. The servo press control method according to claim 1, characterized in that: S7 includes: S71 and MCU will associate and store all the operating data, process parameters and quality evaluation results collected during this pressing process to form a complete pressing history record. S72. For continuously qualified press-fitting batches, statistically analyze the changing trends of peak pressure, displacement error, pressure holding fluctuation rate, and control correction amount for each batch. S73. For operating conditions with continuous deviations, statistically analyze the abnormality type, number of abnormalities, and degree of abnormality. Adjust the corresponding process parameter correction coefficients according to the cause of the abnormality, and synchronously update the workpiece type, environmental compensation parameters, equipment wear compensation parameters, and corresponding process parameters in the dynamic process flow database.

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