Servo multi-section pressure closed-loop control closed-loop system

Abstract

The invention provides a servo multi-section pressure closed-loop control closed-loop system, and belongs to the technical field of servo hydraulic equipment. Comprising a pressure execution module used for recording pressure value change and feedback signals in a pressure applying process in real time, a material change and hydraulic oil interference acquisition module, a servo equipment internal material change data set, a servo equipment external material change data set and a hydraulic oil microenvironment disturbance data set, and a pressure analysis module. The parameter evaluation module is used for establishing and evaluating an internal material change influence coefficient of the servo equipment, an external material change influence coefficient of the servo equipment and a hydraulic oil microenvironment disturbance coefficient, and the intelligent closed-loop control optimization module is used for self-adaptive compensation and stable optimization according to corresponding optimization instructions. Through multi-stage pressure setting and a real-time feedback mechanism and in combination with a high-precision servo driving system, stable and high-response pressure application to a target object in different stages is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of servo hydraulic equipment, in particular to a servo multi-section pressure closed-loop control closed-loop system. BACKGROUND

[0002] In the modern manufacturing and industrial fields, especially in the production processes of lithium batteries and semiconductors, accurate pressure control is one of the key factors to ensure product quality and production efficiency, especially in the aspects of precision assembly, crimping, packaging, etc. The pressure control not only requires high precision, but also requires intelligent and self-adaptive adjustment capabilities to cope with changes caused by materials, environment, etc.

[0003] In the manufacturing process of lithium batteries, the battery pole piece crimping operation is performed by using a servo device. The servo device applies appropriate pressure to the battery material at different stages through multi-section pressure setting, so as to ensure the sealing, tightness and stability of the battery assembly. Similarly, in the production process of semiconductors, precision assembly, packaging and wafer crimping processes also require servo devices to control pressure.

[0004] Due to the tight product processing, the precision of the servo device used is also high. However, in actual operation, the servo device continuously operates to pressurize the product, which may cause uneven pressure. The existing operation system only relies on pressure sensor feedback to obtain pressure abnormalities and cannot identify the specific reasons for the pressure abnormalities. Therefore, when the servo device has pressure abnormalities, it cannot be adjusted in time, which affects the use. Therefore, a servo multi-section pressure closed-loop control closed-loop system is proposed to solve the above problems. SUMMARY

[0005] In order to make up for the above shortcomings, the present application provides a servo multi-section pressure closed-loop control closed-loop system which overcomes the above technical problems or at least partially solves the above problems.

[0006] The present application is implemented as follows: The present application provides a servo multi-section pressure closed-loop control closed-loop system, which comprises a pressure execution module, a material change and hydraulic oil disturbance collection module, a pressure analysis module and an intelligent closed-loop control optimization module. The pressure execution module is used to apply multi-section set pressure to the target object at different stages, and to record the pressure value change and feedback signal in real time during the pressure application process. The feedback signal is transmitted to the main control system, and the target servo drive device is controlled by the main control system to complete pressure output. The material change and hydraulic oil disturbance collection module is used to detect the changes in the internal and external materials of the servo device in real time during the pressure application process, and to construct a data set of internal and external material changes of the servo device. It also collects the state of the hydraulic oil in the servo device and constructs a data set of hydraulic oil microenvironment disturbance; Pressure analysis module, used to establish the influence coefficient of internal material change of servo equipment based on the data set of internal material change of servo equipment, and the influence coefficient of external material change of servo equipment based on the data set of external material change of servo equipment. , establish the influence coefficient of external material changes of servo equipment , and also based on the hydraulic oil microenvironment disturbance data set, the hydraulic oil microenvironment disturbance coefficient is constructed , and evaluate and generate corresponding optimization instructions; The intelligent closed-loop control optimization module is used to dynamically adjust the servo multi-segment pressure application curve and control parameters according to the corresponding optimization instructions, and to fine-tune the pressure output in real time, adaptively compensate and optimize stability.

[0007] In a preferred solution, several high-precision pressure sensors are provided in the pressure execution module for real-time monitoring of pressure value changes during pressure application and transmitting feedback signals to the main control system. The main control system will continuously adjust the actuator action according to the feedback signals.

[0008] In a preferred solution, the material change and hydraulic oil interference acquisition module includes a material data acquisition unit and a hydraulic oil data acquisition unit; The material data acquisition unit includes a target servo device internal material change acquisition subunit and a target servo device external material change acquisition subunit; The target servo device internal material change collection subunit is used to set i materials inside the target servo device, and the target servo device internal materials include: gears, bearings and connecting rods; The target servo device external material change acquisition subunit is used to divide the target servo device external area into a first area , the second area , the third area , ..., nth region , there are y materials in the nth region, where y = 1, 2, 3, ..., m; The external materials of the target servo equipment include: connecting flange, guide rail guide block, and pressure plate; The hydraulic oil data acquisition unit is used to obtain the hydraulic oil viscosity, density distribution, particle contamination concentration and temperature drift from the hydraulic oil microenvironment disturbance data set.

[0009] In a preferred scheme, the pressure analysis module comprises a servo device internal material change analysis unit, a servo device external material change analysis unit, and a hydraulic oil disturbance analysis unit; The servo device internal material change analysis unit comprises a first evaluation subunit, The servo device internal material change analysis unit is configured to construct a servo device internal material change influence coefficient based on a servo device internal material change data set : The servo device internal material change data set comprises a crack depth Ld, a grain slip Ly, and an internal corrosion factor Fy; The crack depth Ld, the grain slip Ly, and the internal corrosion factor Fy are extracted and associated with a material quantity in the target servo device interior, and after dimensionless processing, a servo device internal material change influence coefficient is obtained through the following formula ; In the formula, is a total quantity of materials in the target servo device interior, is a crack depth of an i-th material in the target servo device interior, is a grain slip of the i-th material in the target servo device interior, is an internal corrosion factor of the i-th material in the target servo device interior, , and are weight coefficients, and + + =1.

[0010] In a preferred scheme, the first evaluation subunit is configured to preset an internal material change threshold A and compare the internal material change threshold A with the internal material change influence coefficient ; When the internal material change influence coefficient > the internal material change threshold A, a correction instruction is generated; The correction instruction comprises: When the internal material change influence coefficient > the internal material change threshold A 120%, the performance of the target servo device decreases, and the target servo device fails, a first-level abnormal alarm is generated, the set pressure value is reduced by 15%, the servo gain is reduced by 20%, and the actuator action is adjusted to a micro step distance of 0.02 mm / step; When the internal material change threshold A≤ the internal material change influence coefficient ≤ the internal material change threshold A When the pressure reaches 120%, the target servo device will experience increased micro crack depth, local strain accumulation, and localized material delamination, generating a secondary abnormal alarm. The pressure needs to be lowered by 5%-8%, and the servo response gain is reduced by 10%-15% to suppress the expansion of micro cracks. When the internal material changes affect the coefficient When the internal material change threshold value A is less than the internal material change threshold value A, the target servo device is used normally and monitoring continues.

[0011] In a preferred embodiment, the servo device external material change analysis unit includes an extraction unit and a second evaluation unit, wherein the extraction unit is used to construct a servo device external material change influence coefficient based on the servo device external material change data set. ; The servo device external material change data set includes: servo device external microstructure degradation factor , thermal fatigue alternation factor , stress concentration factor Adhesion and shedding factors ; Extracting degradation factors of servo equipment's external microstructure , thermal fatigue alternation factor , stress concentration factor Adhesion and shedding factors , and associate it with the total amount of external materials of the target device. After dimensionless processing, the influence coefficient of the external material change of the servo device is obtained by the following formula ; Where k is the kth area outside the target servo device, is the weight coefficient of the yth material in the kth region outside the target servo device, is the variation factor of the yth material in the kth region outside the target servo device, is the amount of y-th material in the k-th area outside the target servo device, is the total amount of materials outside the target servo device, and m represents the total types of materials in the nth area.

[0012] In a preferred solution, the second evaluation unit is used to preset the servo device external material change threshold B, and compare the preset servo device external material change threshold B with the servo device external material change influence coefficient Make a comparison; When the external material changes of the servo equipment affect the coefficient >When the external material of the servo device changes by a threshold value B, a correction instruction is generated; The correction instructions include: When the servo device external material change impact coefficient > servo device external material change threshold B 120%, the target servo device external material support, compression plate cracks, deformation, unable to withstand further load, generate three abnormal alarm, need to replace the damaged material, and servo device pressure value down 30%; When the servo device external material change threshold B ≤ servo device external material change impact coefficient 120% when, the target servo device external material wear factor increases by 10%, friction factor increases by 10%-20% resulting in pressure transmission unqualified, thermal expansion factor increases by 5%-15%, resulting in preset pressure value and execution pressure value is inconsistent, generate four abnormal alarm, need to reduce the preset pressure value by 10%-20%, and introduce thermal expansion compensation mechanism; When the servo device external material change impact coefficient < servo device external material change threshold B, the target servo device is qualified.

[0013] In a preferred scheme, the hydraulic oil disturbance analysis unit is configured to construct a hydraulic oil microenvironment disturbance coefficient based on a hydraulic oil microenvironment disturbance data set ; The hydraulic oil microenvironment disturbance data set includes: hydraulic oil viscosity , density distribution , micro-particle pollution concentration and temperature drift ; After dimensionless processing, the hydraulic oil microenvironment disturbance coefficient is obtained by the following formula ; In the formula, , , and are adjustment coefficients.

[0014] In a preferred scheme, the intelligent closed-loop control optimization module includes an optimization unit, and the optimization unit is configured to preset a hydraulic oil microenvironment disturbance threshold C and compare the hydraulic oil microenvironment disturbance threshold C with the hydraulic oil microenvironment disturbance coefficient ; When the hydraulic oil microenvironment disturbance coefficient > hydraulic oil microenvironment disturbance threshold C, a compensation instruction is generated.

[0015] In a preferred scheme, the compensation instruction includes: When the hydraulic oil microenvironment disturbance coefficient Hydraulic oil micro-environment disturbance threshold C When the hydraulic oil micro-environment disturbance threshold C is 120%, the flow rate of the hydraulic oil inside the target servo device is reduced by 50%, and pressure fluctuation, pressure hysteresis, five-level abnormal alarm, and response speed reduction of 5%-8% are caused, the hydraulic oil temperature is increased by 55℃-65℃, the hydraulic oil needs to be cooled, the temperature of the hydraulic oil is reduced to 40℃-50℃, the response speed of the servo device is increased by 10%-15%, and the flow rate of the hydraulic oil is adjusted to 30L / min-40L / min. When the hydraulic oil micro-environment disturbance threshold C is less than or equal to the hydraulic oil micro-environment disturbance coefficient ≤Hydraulic oil micro-environment disturbance threshold C When the hydraulic oil micro-environment disturbance threshold C is 120%, the viscosity of the hydraulic oil inside the target servo device is increased by 4%-14% compared with the normal value, the flow rate is also reduced by 30%-40%, the particle concentration is 9%-16% higher than the standard, the hydraulic oil temperature is increased by 2%-4%, and the pressure output fluctuation is also increased by 3%-6%, generating six-level abnormal alarm, the hydraulic oil flow rate is adjusted to 17L / min-20L / min, the hydraulic oil temperature is adjusted to 40℃-50℃, and the target servo pressure is adjusted by 880N-1000N. When the hydraulic oil micro-environment disturbance coefficient When the hydraulic oil micro-environment disturbance threshold C is less than or equal to the hydraulic oil micro-environment disturbance coefficient

[0016] The servo multi-stage pressure closed-loop control closed-loop system provided by the application has the following advantages: 1. Through the multi-stage pressure setting and real-time feedback mechanism, combined with the high-precision servo driving system, the stable and high-response pressure exertion on the target object in different stages is realized, the control precision and process adaptability of the system are significantly improved, the change of the internal material of the servo device and the change of the external material are collected respectively, the internal material change data set of the servo device and the external material change data set of the servo device are established, and the internal material change influence coefficient of the servo device and the external material change influence coefficient of the servo device are constructed according to the internal material change data set of the servo device and the external material change data set of the servo device , and the corresponding threshold is evaluated and corrected, which significantly improves the adaptability of the control strategy to material differences and improves the extrusion effect of the servo device on the product.

[0017] 2. By monitoring the viscosity, density, particle pollution concentration and temperature drift disturbance parameters of the hydraulic oil in real time, the hydraulic oil microenvironment disturbance coefficient is constructed, so that the control system can effectively identify the servo performance fluctuation caused by the change of the oil state, thereby enhancing the system robustness and continuity. The feedback optimization instructions generated by the optimization module according to the material and hydraulic state are used to perform real-time fine tuning and compensation on the pressure curve and control parameters, effectively solving the problems of overshoot, lag and instability existing in the traditional control method, and ensuring the stability and target consistency of the output pressure. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor.

[0019] Figure 1 is a system block diagram of the embodiments of the present application. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0021] Example 1, refer to Figure 1 The present application provides a technical solution: a servo multi-section pressure closed-loop control closed-loop system, comprising a pressure execution module, a material change and hydraulic oil disturbance collection module, a pressure analysis module and an intelligent closed-loop control optimization module. The pressure execution module is used to apply a multi-section set pressure to a target object at different stages, and to record the pressure value change and feedback signal in real time during the pressure application process. The feedback signal is transmitted to the main control system, and the target servo drive device is controlled by the main control system to complete the pressure output. The material change and hydraulic oil disturbance collection module is used to detect the change of the internal and external materials of the servo device in real time during the pressure application process, and to construct the servo device internal material change dataset and the servo device external material change dataset. In addition, the state of the hydraulic oil in the servo device is collected, and a hydraulic oil microenvironment disturbance dataset is constructed. Pressure analysis module, used to establish the influence coefficient of internal material change of servo equipment based on the data set of internal material change of servo equipment, and the influence coefficient of external material change of servo equipment based on the data set of external material change of servo equipment. , establish the influence coefficient of external material changes of servo equipment , and also based on the hydraulic oil microenvironment disturbance data set, the hydraulic oil microenvironment disturbance coefficient is constructed , and evaluate and generate corresponding optimization instructions; The intelligent closed-loop control optimization module is used to dynamically adjust the servo multi-segment pressure application curve and control parameters according to the corresponding optimization instructions, and to fine-tune the pressure output in real time, adaptively compensate and optimize stability.

[0022] In this embodiment, through multi-stage pressure setting and real-time feedback mechanism, combined with a high-precision servo drive system, stable and high-response pressure application to the target object at different stages is achieved, which significantly improves the control accuracy and process adaptability of the system. The system can separately collect changes in the internal materials (such as connecting rods, sliders, guide rails, etc.) and external materials (such as pressed materials or workpieces) of the servo equipment, establish a material change impact model, and significantly improve the control strategy's adaptability to material differences (such as deformation, hardening, and elastic rebound).

[0023] By real-time monitoring of disturbance parameters such as hydraulic oil viscosity, density, particulate contamination concentration and temperature drift, a hydraulic oil micro-environment disturbance coefficient is constructed, enabling the control system to effectively identify servo performance fluctuations caused by changes in oil state, thereby enhancing system robustness and continuity. The optimization module generates feedback optimization instructions based on material and hydraulic conditions, and performs real-time fine-tuning and compensation of pressure curves and control parameters, effectively solving problems such as overshoot, lag, and instability under traditional control methods, ensuring output pressure stability and target consistency.

[0024] Example 2: This example is an explanation of Example 1. Please refer to Figure 1 Specifically, the pressure execution module is equipped with several high-precision pressure sensors for real-time monitoring of pressure value changes during the pressure application process, and transmitting feedback signals to the main control system. The main control system will continuously adjust the actuator action according to the feedback signals.

[0025] In this embodiment, a plurality of high-precision pressure sensors are configured in the pressure execution module, which can perform high-frequency, fine-grained real-time sampling and monitoring of pressure changes during the pressure application process, ensuring that the pressure data obtained by the control system has higher accuracy and timeliness, and providing an accurate basis for subsequent adjustments. By transmitting the pressure feedback signal to the main control system in real time, the control system can automatically adjust the action parameters of the actuator according to the feedback results, thereby realizing dynamic closed-loop control, so that the pressure output is always consistent with the target set value, and effectively preventing control errors such as overshoot and undershoot.

[0026] Embodiment 3, the embodiment is explained in embodiment 1, please refer to Figure 1 , Specifically, the material change and hydraulic oil interference acquisition module includes a material data acquisition unit and a hydraulic oil data acquisition unit; The material data acquisition unit includes a target servo device internal material change acquisition subunit and a target servo device external material change acquisition subunit; The target servo device internal material change acquisition subunit is used for setting i materials in the target servo device, and the target servo device internal material includes gears, bearings and connecting rods; The target servo device external material change acquisition subunit is used for dividing the target servo device external into a first region , a second region , a third region ,..., an n region , the n region is provided with y materials, wherein y=1, 2, 3,..., m; The target servo device external material includes connecting flanges (Q235 / Q345 carbon steel), guide rail guide blocks (20CrMnTi), and pressure plates (45# steel); The hydraulic oil data acquisition unit is used for acquiring the hydraulic oil viscosity , density distribution , particle pollution concentration and temperature drift from the hydraulic oil micro-environment disturbance data set.

[0027] The hydraulic oil viscosity can be detected by installing an online viscosity sensor in the oil circuit; The following is the reference value of the hydraulic oil viscosity: Hydraulic oil model viscosity density ISOVG3228-35cst860-870kg / m 3 ISOVG4641-50cst870-880kg / m 3 ISOVG6861-74cst880-890kg / m 3 ISOVG10090-110cst885-895kg / m 3 And the density distribution in the hydraulic oil can be estimated by measuring the ultrasonic wave propagation speed in the oil by ultrasonic method; The particle pollution concentration , the particle size of the particle contamination in the hydraulic oil is detected by the laser particle counter, and when the number of particles with a particle size ≥4 μm in the hydraulic oil is about 1300-2500 per 1 ml of oil, it corresponds to IS04406 pollution level 18; the number of particles with a particle size ≥6 μm is about 320-640, which corresponds to IS04406 pollution level 16; and the number of particles with a particle size ≥14 μm is about 40-80, which corresponds to IS04406 pollution level 13.

[0028] Temperature drift Temperature drift is a phenomenon that the temperature of the hydraulic oil deviates from the original setting or expected temperature during the operation of the hydraulic system or the oil, and the temperature is detected by a temperature sensor.

[0029] In this embodiment, by finely dividing the internal materials (such as gears, bearings, connecting rods) and external materials (such as flanges, guide rails, pressure plates) of the servo device, and collecting and analyzing the changes of each, the system can monitor the dynamic changes of the materials such as friction, wear and deformation in real time, so as to better consider the influence of material changes on pressure output in the pressure control process, improve the overall control accuracy, and ensure that the material changes of the servo device in different working areas are fully detected through the multi-region division and material monitoring of the first region to the nth region. The material change data of each region will provide more detailed basis for precise control, especially in complex application environments, which can enhance the adaptability of the device.

[0030] By detecting the viscosity, density, pollution particle concentration and temperature drift of the hydraulic oil in real time, the system can dynamically capture the disturbance changes of the oil, such as the influence of viscosity and density fluctuations on pressure output, and timely identify the control deviation caused by oil pollution or temperature change. This enables the system to adaptively adjust the control strategy to avoid pressure fluctuations or control failure caused by changes in the state of the hydraulic oil.

[0031] Embodiment 4, this embodiment is an explanation and description in embodiment 1, please refer to Figure 1 , specifically, the pressure analysis module includes a servo device internal material change analysis unit, a servo device external material change analysis unit, and a hydraulic oil disturbance analysis unit; The servo device internal material change analysis unit includes a first evaluation subunit, The servo device internal material change analysis unit is used to construct a servo device internal material change influence coefficient based on a servo device internal material change data set : The servo device internal material change data set includes crack depth Ld, grain slip Ly, and internal corrosion factor Fy; The crack depth Ld is the maximum or average depth of the microcracks extending from the surface to the inside of the material, and the unit is usually micrometer (μm) or millimeter (mm). Ultrasonic testing uses the sound waves reflected at the crack and calculates the echo time to estimate the depth. Grain slip Ly, at the microscopic scale, is the relative slip displacement between grains within the material due to stress. Electron backscatter diffraction is used to analyze the change in grain orientation and estimate the slip distance. The unit can be nanometers (nm) or micrometers (μm); Internal corrosion factor Fy refers to the corrosion of gears, bearings and connecting rods inside the servo equipment. Gears, made of 20CrMnTi steel, have a corrosion rate of 5–20 μm / year; Bearings, made of GCr15 bearing steel, have a corrosion rate of 10–50 μm / year; Connecting rod, made of 45# steel / alloy steel, has a corrosion rate of 1–10 μm / year.

[0032] Extract the crack depth Ld, grain slip Ly, and internal corrosion factor Fy, and correlate them with the amount of material inside the target servo device. After dimensionless processing, the influence coefficient of material change inside the servo device is obtained through the following formula ; Where, is the total amount of material inside the target servo device, is the crack depth of the i-th material inside the target servo device, is the grain slip of the i-th material inside the target servo device, is the internal corrosion factor of the i-th material inside the target servo device, 、 and is the weight coefficient, and + + =1.

[0033] The following are the influence factors of material changes inside the servo equipment The example table is shown in Table 1; Table 1 In this embodiment, the influence coefficient of material change inside the servo device is calculated , can be used to evaluate the health of the equipment. This coefficient comprehensively reflects the crack depth of the material , grain slip Ly and internal corrosion factor Fy, help to judge the fatigue degree of the equipment during long-term operation. By monitoring the changes of crack depth, grain slip and corrosion factor, the system can capture potential failure signals in time. According to the calculation results of the internal material change influence coefficient, the design of the servo equipment can be further optimized. For example, more suitable materials can be selected to reduce the fatigue accumulation of materials and improve the durability and reliability of the equipment.

[0034] Embodiment 5, this embodiment is an explanation in embodiment 1, please refer to Figure 1 , specifically, the first evaluation sub-unit is used to preset an internal material change threshold A, and compare the internal material change threshold A with the internal material change influence coefficient ; When the internal material change influence coefficient > internal material change threshold A, a correction instruction is generated; The correction instruction includes: When the internal material change influence coefficient > internal material change threshold A 120%, the performance of the target servo equipment decreases, and causes the target servo equipment to fail, generating a first-level abnormal alarm, the set pressure value needs to be reduced by 15%, the servo gain is reduced by 20%, and the actuator action is adjusted to a small step distance of 0.02mm / step; When the internal material change threshold A≤ internal material change influence coefficient ≤ internal material change threshold A 120%, the target servo equipment will appear micro crack depth increase, local strain aggregation, and local material delamination, generating a second-level abnormal alarm, the pressure needs to be reduced by 5%-8%, and the servo response gain is reduced by 10%-15% to inhibit the expansion of micro cracks; When the internal material change influence coefficient < internal material change threshold A, the target servo equipment is in normal use, and continues to be monitored.

[0035] Combined with Table 1, an internal material change influence coefficient Comparison and evaluation table of internal material change threshold A is established, as shown in Table 2; Table 2 In this embodiment, through real-time monitoring of the internal material changes of the servo device, potential material damage and changes can be found in time to avoid excessive wear or failure, based on the feedback of the internal material change impact coefficient, the system can automatically adjust the working state when an abnormality occurs, improve the operation efficiency and reliability of the device, when the internal material change impact coefficient exceeds the set threshold, the system will generate a correction instruction to automatically adjust the working parameters of the device. Such a correction mechanism avoids failure caused by excessive wear or crack propagation, and a hierarchical abnormality alarm mechanism enables the device to be corrected in time when a problem occurs. The first-level abnormality warning can effectively prevent device failure, and the second-level abnormality is helpful to control the propagation of micro-cracks, thereby prolonging the service life of the device.

[0036] By adjusting the pressure value, servo gain and actuator step according to different impact coefficients, the device can adjust itself according to the actual state of the material to realize adaptive operation.

[0037] Embodiment 6, this embodiment is an explanation in embodiment 1, please refer to Figure 1 , specifically, the servo device external material change analysis unit includes an extraction unit and a second evaluation unit, the extraction unit is used for constructing a servo device external material change impact coefficient based on a servo device external material change data set ; The servo device external material change data set includes: a servo device external microstructure degradation factor , a thermal fatigue alternating factor , a stress concentration factor and an adhesion loss factor ; The servo device external microstructure degradation factor , the thermal fatigue alternating factor , the stress concentration factor and the adhesion loss factor are extracted and associated with the total number of target device external materials, after dimensionless processing, the servo device external material change impact coefficient is obtained by the following formula ; In the formula, k is the kth region of the target servo device external, is the weight coefficient of the yth material in the kth region of the target servo device external, is the change factor of the yth material in the kth region of the target servo device external, is the number of the yth material in the kth region of the target servo device external, is the total number of materials in the target servo device external.

[0038] Microstructure degradation factor outside servo equipment , refers to the degree of structural degradation of the connecting flange, guide rail guide block, pressure plate due to corrosion, cracking, fatigue and aging at the micro level, the value is 0.05 (mild) -0.3 (moderate), the numerical value is obtained by microscopic imaging method; Thermal fatigue alternating factor , refers to the alternating expansion / contraction stress inside the connecting flange, guide rail guide block, pressure plate due to periodic temperature fluctuations, the value range is 0.1-0.4 (corresponding to 10%-40% life reduction), the Coffin-Manson formula is used to calculate the low cycle fatigue life; Stress concentration factor It is a dimensionless coefficient, which is used to describe the local stress amplification caused by material mutation, the value can be found by consulting the mechanical design manual, Among them, the stress concentration factor of the connecting flange is 2.0-3.5; The stress concentration factor of the guide rail guide block is 1.5-2.5; The stress concentration factor of the pressure plate is 2.0-4.0; Adhesion loss factor , refers to the adhesion performance deterioration between two materials due to friction and aging during use; According to the adhesion performance deterioration between materials, the reference value is taken; No aging, the value is 0-0.05; After moderate use, the value of the bonding area is 0.1-0.3; Severe peeling, the value is 0.4-0.8.

[0039] The following is the material change influence coefficient outside the servo equipment The relevant example table is shown in Table 3; Table 3 In this embodiment, by calculating based on the external material change data set (including microstructure degradation factor, thermal fatigue alternating factor, stress concentration factor and adhesion loss factor), the influence of the change of the external material of the servo device on the overall device performance can be accurately evaluated. This helps to find potential material degradation problems in advance, avoids sudden failures, and through the calculation of the material change influence coefficient, the device maintenance personnel can take preventive maintenance measures in time when the external material of the device changes early. This can effectively avoid the performance degradation or failure of the device caused by material degradation, reduce maintenance cost and downtime, and use dimensionless processing to make the influence coefficients of different materials and different regions comparable, eliminate the differences caused by different materials and units, simplify the evaluation process, and improve the comparison and decision-making efficiency.

[0040] Embodiment 7, this embodiment is an explanation in embodiment 1, please refer to Figure 1 Specifically, the second evaluation unit is configured to preset a servo device external material change threshold B, and compare the preset servo device external material change threshold B with the servo device external material change influence coefficient . When the servo device external material change influence coefficient > the servo device external material change threshold B, a correction instruction is generated. The correction instruction includes: When the servo device external material change influence coefficient > the servo device external material change threshold B 120%, the target servo device external material support and compression plate crack and deform, and cannot withstand further load, generating a third-level abnormal alarm, and the damaged material needs to be replaced, and the servo device pressure value is lowered by 30%; When the servo device external material change threshold B≤servo device external material change influence coefficient ≤ the servo device external material change threshold B 120%, the wear factor of the target servo device external material increases by 10%, the friction factor increases by 10%-20%, resulting in unqualified pressure transmission, the thermal expansion factor increases by 5%-15%, resulting in inconsistency between the preset pressure value and the executed pressure value, generating a fourth-level abnormal alarm, and the preset pressure value needs to be reduced by 10%-20% and a thermal expansion compensation mechanism needs to be introduced; When the servo device external material change influence coefficient < the servo device external material change threshold B, the target servo device is qualified.

[0041] In combination with Table 3, the servo device external material change influence coefficient The comparison evaluation table of the servo device external material change threshold B is shown in Table 4. Table 4 In this embodiment, by setting the threshold of the external material change influence coefficient and comparing it with the actual situation, the health status of the servo device can be monitored in real time, potential problems can be found in advance, and once the abnormal change of the external material of the device is detected, the system will automatically generate corresponding correction instructions, including adjusting the pressure value, compensating for thermal expansion, etc., to reduce the possibility of device failure. By accurately evaluating the change of the external material, damaged parts can be replaced in time to ensure the continuous operation of the servo device and prolong the service life of the device.

[0042] Embodiment 8, this embodiment is an explanation in embodiment 1, please refer to Figure 1 , Specifically, the hydraulic oil interference analysis unit is used to construct a hydraulic oil microenvironment disturbance coefficient based on the hydraulic oil microenvironment disturbance data set. The hydraulic oil microenvironment disturbance data set includes: hydraulic oil viscosity , density distribution , micro-particle pollution concentration and temperature drift . After dimensionless processing, the hydraulic oil microenvironment disturbance coefficient is obtained by the following formula. In the formula, , , and are adjustment coefficients.

[0043] The following is an example table of the hydraulic oil microenvironment disturbance coefficient , as shown in Table 5. Table 5 In this embodiment, by comprehensively analyzing the microenvironment disturbance of the hydraulic oil, the performance stability of the hydraulic oil and its influence on the system operation can be accurately evaluated. This analysis uses the dimensionless processing method to use the key parameters of the hydraulic oil (viscosity, density distribution, micro-particle pollution concentration and temperature drift) to construct the disturbance coefficient, which provides a scientific basis for the optimization adjustment of the system. Using the hydraulic oil microenvironment disturbance coefficient, the state of the hydraulic oil can be monitored in real time, and the performance decline or failure risk that may occur can be warned. This provides an early warning function for the system, effectively improving the reliability and operation safety of the device.

[0044] Embodiment 9, this embodiment is an explanation in embodiment 1, please refer toFigure 1 Specifically, the intelligent closed-loop control optimization module comprises an optimization unit, which is configured to preset a hydraulic oil micro-environment disturbance threshold C, and compare the hydraulic oil micro-environment disturbance threshold C with a hydraulic oil micro-environment disturbance coefficient When the hydraulic oil micro-environment disturbance coefficient is greater than the hydraulic oil micro-environment disturbance threshold C, a compensation instruction is generated.

[0045] The compensation instruction comprises: When the hydraulic oil micro-environment disturbance coefficient is greater than the hydraulic oil micro-environment disturbance threshold C 120%, the flow rate of the hydraulic oil in the target servo device is reduced by 50%, and pressure fluctuation, pressure hysteresis, five-level abnormal alarm, and response speed reduction of 5%-8% are caused, the temperature of the hydraulic oil is increased by 55-65°C, the hydraulic oil needs to be cooled, the temperature of the hydraulic oil is reduced to 40-50°C, the response speed of the servo device is increased by 10%-15%, and the flow rate of the hydraulic oil is adjusted to 30-40 L / min. When the hydraulic oil micro-environment disturbance threshold C is less than or equal to the hydraulic oil micro-environment disturbance coefficient ≤ hydraulic oil micro-environment disturbance threshold C 120%, the viscosity of the hydraulic oil in the target servo device is increased by 4%-14% than the normal value, the flow rate is also reduced by 30%-40%, the particle concentration is 9%-16% higher than the standard, the temperature of the hydraulic oil is increased by 2%-4%, and the pressure output fluctuation is also increased by 3%-6%, six-level abnormal alarm is generated, the flow rate of the hydraulic oil is adjusted to 17-20 L / min, the temperature of the hydraulic oil is adjusted to 40-50°C, and the target servo pressure is adjusted by 880-1000 N. When the hydraulic oil micro-environment disturbance coefficient is less than the hydraulic oil micro-environment disturbance threshold C, the target servo device has no abnormality.

[0046] In combination with Table 5, the hydraulic oil micro-environment disturbance threshold C and the hydraulic oil micro-environment disturbance coefficient are compared and evaluated, as shown in Table 6. Table 6 In this embodiment, the intelligent closed-loop control optimization module is set to realize real-time monitoring and dynamic regulation of the hydraulic oil micro-environment disturbance, effectively improving the stability and response accuracy of the servo device in a complex environment, and the optimization unit can distinguish different levels of disturbance by presetting the disturbance threshold, and accurately generate correction instructions according to the comparison result of the disturbance coefficient and the threshold, realize the grading alarm mechanism, and improve the fault prediction ability.​

[0047] By sensing and controlling disturbances in multi-dimensional factors such as hydraulic oil viscosity, temperature, and contaminant particles, system fluctuations and structural wear caused by oil deterioration are avoided, thereby significantly extending the service life of the servo equipment. Correction instructions are not only used for current fault regulation, but also provide feedback data for subsequent control parameter optimization, forming a data-driven closed-loop tuning system to improve the robustness and intelligence level of equipment operation.

[0048] In addition, based on the original PLC program control function, this case has been changed to a built-in program in the driver with an operating cycle of 250μs, which greatly improves the control accuracy. At the same time, a real-time pressure dynamic control function that can be flexibly adjusted through parameters has been added, which greatly expands the application range of the product. In addition, the pressure holding efficiency has also been significantly improved, and the single pressing cycle speed has been increased by 10%. Customers can freely choose the pressure control mode according to their needs. Moreover, this servo hydraulic press can accurately correspond to up to 4 target pressure values ​​in one pressing action, and execute pressure output in sequence according to the set order. According to the target pressure value set by the user in real time, the output pressure is dynamically adjusted to achieve instant adjustment of pressure output. Customers can use the preset function parameters + IO signal start method to achieve positioning, without the need to purchase an additional motion control module, thereby improving the overall cost performance, increasing the cycle time by 10%, and improving production efficiency. In addition, through overshoot suppression compensation, the overshoot problem during pressure adjustment is effectively solved.

[0049] The following is a table of technical parameters of the servo hydraulic system in different pressing scenarios, see Table 7 Table 7 The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0050] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by those skilled in the art according to actual conditions. The above is only a preferred specific implementation method of the present invention, but the protection scope of the present invention is not limited to this. Any technician familiar with this technical field, within the technical scope disclosed by the present invention, can make equivalent replacements or changes based on the technical solution and inventive concept of the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A closed loop system for servoing a multi-segment pressure closed loop control, characterized by, The pressure execution module, the material change and the hydraulic oil interference acquisition module, the pressure analysis module and the intelligent closed-loop control optimization module are included. The pressure execution module is used for applying multiple set pressures to the target object at different stages, recording the pressure value changes and feedback signals in the pressure application process in real time, and transmitting the feedback signals to the main control system, so that the target servo driving device completes the pressure output controlled by the main control system. The material change and the hydraulic oil interference acquisition module is used for detecting the change of the internal and external materials of the servo device in real time during the pressure application process, constructing the internal material change data set and the external material change data set of the servo device, and collecting the state of the hydraulic oil in the servo device and constructing the hydraulic oil micro-environment disturbance data set. A pressure analysis module is used to establish a servo device internal material change influence coefficient based on a servo device internal material change data set , establish a servo device external material change influence coefficient based on a servo device external material change data set , and also construct a hydraulic oil micro-environment disturbance coefficient based on a hydraulic oil micro-environment disturbance data set , and perform evaluation to generate corresponding optimization instructions; The intelligent closed-loop control optimization module is used for dynamically adjusting the servo multi-stage pressure application curve and the control parameters according to the corresponding optimization instructions, real-time fine-tuning the pressure output, and adaptive compensation and stable optimization.

2. The servo multi-stage pressure closed loop control closed loop system of claim 1, wherein, The pressure execution module is provided with a plurality of high-precision pressure sensors for real-time monitoring of the pressure value changes in the pressure application process and transmitting feedback signals to the main control system, and the main control system continuously adjusts the actuator action according to the feedback signals.

3. The servo multi-stage pressure closed loop control closed loop system of claim 2, wherein, The material change and the hydraulic oil interference acquisition module includes a material data acquisition unit and a hydraulic oil data acquisition unit. The material data acquisition unit includes a target servo device internal material change acquisition subunit and a target servo device external material change acquisition subunit. The target servo device internal material change acquisition subunit is used for setting i materials in the target servo device, and the target servo device internal materials include gears, bearings and connecting rods. The target servo device external material change collection subunit is used for dividing the target servo device external into a first region , a second region , a third region ,..., an n-th region , and setting y materials in the n-th region, wherein y=1, 2, 3,..., m; The target servo device external materials include connecting flanges, guide rail guide blocks and pressure plates. The hydraulic oil data acquisition unit is used for obtaining the viscosity, density distribution, particle pollution concentration and temperature drift of the hydraulic oil from the hydraulic oil micro-environment disturbance data set.

4. The servo multi-stage pressure closed loop control closed loop system of claim 3, wherein, The pressure analysis module includes a servo device internal material change analysis unit, a servo device external material change analysis unit and a hydraulic oil interference analysis unit. The servo device internal material change analysis unit includes a first evaluation subunit, The servo equipment internal material change analysis unit is configured to construct a servo equipment internal material change influence coefficient based on a servo equipment internal material change data set : The servo device internal material change data set includes crack depth Ld, grain slip Ly and internal corrosion factor Fy. The crack depth Ld, the grain slip Ly and the internal corrosion factor Fy are extracted and associated with the amount of material inside the target servo device, and after dimensionless processing, the material change influence coefficient of the servo device is obtained by the following formula ; wherein is the total number of materials inside the target servo device, is the crack depth of the i-th material inside the target servo device, is the grain slip of the i-th material inside the target servo device, is the internal corrosion factor of the i-th material inside the target servo device, , and are weight coefficients, and + + = 1.

5. The servo multi-stage pressure closed loop control closed loop system of claim 4, wherein, The first evaluation subunit is configured to preset an internal material change threshold A, and compare the internal material change threshold A with an internal material change influence coefficient B of the internal material change of the first material. Comparison is made. When the internal material changes affect the coefficient >When the internal material changes to the threshold value A, a correction instruction is generated; The correction instruction includes: When the internal material change affects the coefficient The internal material change threshold A When the internal material change affects the coefficient The internal material change threshold A When the internal material change affects the coefficient The internal material change threshold A When the internal material change affects the coefficient The internal material change threshold A When the internal material change affects the coefficient The internal material change threshold A When the internal material change affects the coefficient The internal material change threshold A When the internal material change affects the coefficient The internal material change threshold A When the internal material change affects the coefficient < When the internal material change threshold A≤internal material change influence coefficient ≤internal material change threshold A When 120%, the target servo device will appear micro crack depth increase, strain local aggregation, material local small delamination, generate secondary abnormal alarm, need to reduce the pressure by 5%-8%, through the servo response gain reduction of 10%-15%, inhibit micro crack propagation; When internal material change affects coefficient When internal material change threshold A is met, target servo device is used normally, continue monitoring.

6. The servo multi-stage pressure closed loop control closed loop system of claim 5, wherein, The servo device external material change analysis unit comprises an extraction unit and a second evaluation unit, the extraction unit is used for constructing a servo device external material change influence coefficient based on a servo device external material change data set ; The servo device external material change data set includes: a servo device external microstructure degradation factor , a thermal fatigue alternating factor , a stress concentration factor , and an adhesion loss factor ; Extracting microstructure degradation factors outside the servo device , thermal fatigue alternating factors , stress concentration factors , and adhesion shedding factors , and associate them with the total number of materials outside the target device, after dimensionless processing, the material change influence coefficient of the servo device is obtained by the following formula ; where k is the kth region outside the target servo device, is the weight coefficient of the yth material in the kth region outside the target servo device, is the change factor of the yth material in the kth region outside the target servo device, is the quantity of the yth material in the kth region outside the target servo device, is the total quantity of materials outside the target servo device, and m represents the total number of material types in the nth region.

7. The servo multi-stage pressure closed loop control closed loop system of claim 6, wherein, The second evaluation unit is configured to preset a material change threshold B outside the servo device, and compare the preset material change threshold B outside the servo device with a material change influence coefficient of the servo device Comparison is made; When the servo device external material change influence coefficient When the servo device external material change threshold B, generate correction instructions; The correction instruction includes: When the servo device external material changes the influence coefficient >Servo device external material change threshold B When the servo device external material changes the influence coefficient >Servo device external material change threshold B When the servo device external material changes the influence coefficient >Servo device external material change threshold B When the servo device external material changes the influence coefficient >Servo device external material change threshold B When the servo device external material changes the influence coefficient >Servo device external material change threshold B When the servo device external material changes the influence coefficient >Servo device external material change threshold B When the servo device external material changes the influence coefficient < When the servo device external material change threshold B ≤ servo device external material change influence coefficient ≤ Servo equipment external material change threshold B When the pressure reaches 120%, the wear factor of the external material of the target servo device increases by 10%, the friction factor increases by 10%-20%, resulting in unqualified pressure transmission, and the thermal expansion factor increases by 5%-15%, resulting in inconsistency between the preset pressure value and the executed pressure value, generating a level 4 abnormal alarm. The preset pressure value needs to be reduced by 10%-20%, and a thermal expansion compensation mechanism needs to be introduced. When servo device external material change influence coefficient <servo device external material change threshold B, target servo device qualified.

8. The servo multi-stage pressure closed loop control closed loop system of claim 7, wherein, The hydraulic oil interference analysis unit is configured to construct a hydraulic oil microenvironment disturbance coefficient based on a hydraulic oil microenvironment disturbance data set ; The hydraulic oil micro-environment perturbation data set comprises: hydraulic oil viscosity , density distribution , particulate pollution concentration and temperature drift ; After non-dimensional processing, the hydraulic oil micro-environment disturbance coefficient is obtained by the following formula ; wherein , , and are adjustment factors.

9. The servo multi-stage pressure closed loop control closed loop system of claim 8, wherein, The intelligent closed-loop control optimization module comprises an optimization unit, which is configured to preset a hydraulic oil micro-environment disturbance threshold C, and compare the hydraulic oil micro-environment disturbance threshold C with a hydraulic oil micro-environment disturbance coefficient Comparison is made; When the hydraulic oil micro-environment disturbance coefficient C is greater than the hydraulic oil micro-environment disturbance threshold C, a compensation instruction is generated.

10. The servo multi-stage pressure closed loop control closed loop system of claim 9, wherein, The compensation instruction includes: When the hydraulic oil micro-environment disturbance coefficient The hydraulic oil micro-environment disturbance threshold C When the hydraulic oil micro-environment disturbance coefficient is 120%, the flow rate of the hydraulic oil inside the target servo device is reduced by 50%, pressure fluctuation is caused, five-level abnormal alarm is generated, the response speed is reduced by 5%-8%, the hydraulic oil temperature is increased by 55℃-65℃, the hydraulic oil needs to be cooled, the temperature of the hydraulic oil is reduced to 40℃-50℃, the response speed of the servo device is increased by 10%-15%, and the flow rate of the hydraulic oil is adjusted to 30L / min-40L / min. When the hydraulic oil micro-environment disturbance threshold C is less than or equal to the hydraulic oil micro-environment disturbance coefficient When the hydraulic oil micro-environment disturbance threshold C is less than or equal to the hydraulic oil micro-environment disturbance coefficient 120%, at this time, the viscosity of the hydraulic oil in the target servo device is increased by 4%-14% compared with the normal value, the flow rate is also decreased by 30%-40%, the particle concentration is increased by 9%-16% compared with the standard, the hydraulic oil temperature is increased by 2%-4%, and the pressure output fluctuation is also increased by 3%-6%, generating a six-level abnormal alarm, the hydraulic oil flow rate needs to be adjusted to 17L / min-20L / min, the hydraulic oil temperature also needs to be adjusted to 40℃-50℃, and then the target servo pressure is adjusted by 880N-1000N; When the hydraulic oil micro-environment disturbance coefficient When the hydraulic oil micro-environment disturbance threshold C, the target servo device is normal.

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