Automatic proportioning control system for cutting fluid

Abstract

The application relates to the technical field of automation control, in particular to a cutting fluid automatic proportioning control system, which comprises a flow control module, a delay compensation module, a dynamic adjustment module and a dynamic flow adjustment module. In the application, the cutting fluid flow and proportion are accurately adjusted to adapt to the requirements of different production stages, improve the cutting fluid use efficiency and the machining quality stability, real-time monitor parameters such as flow and temperature, dynamically adjust the flow and proportion, reduce the instability caused by environmental fluctuations or equipment response lag, ensure the accurate supply of cutting fluid, quickly respond to environmental changes according to the variable production requirements, automatically optimize the proportioning strategy, effectively avoid machining errors and equipment wear caused by proportion imbalance, the improved control strategy improves the cutting fluid utilization rate, ensures the synchronous improvement of machining quality and equipment life, reduces resource waste, simultaneously reduces the requirement for manual intervention and operation complexity, and improves the overall production efficiency and system stability.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of automation control technology, and particularly relates to a cutting fluid automatic proportioning control system. BACKGROUND

[0002] The field of automation control technology refers to the technology of achieving automatic adjustment and optimization of industrial production processes through the use of control theory, control systems and automation equipment. This field covers various control methods such as feedback control, feedforward control, fuzzy control and dynamic control, and is widely used in industries such as mechanical manufacturing, chemical industry, power, energy and transportation. The core goal of automation control is to improve production efficiency, reduce labor costs, improve system precision and stability, and optimize resource utilization. Modern automation control technology, with the help of sensors, actuators, computer systems and artificial intelligence, can monitor and adjust various parameters in complex production processes in real time, achieving precise control and optimized operation. With the integration of intelligent and digital technologies, automation control technology is developing towards higher levels of intelligence, remote and networking.

[0003] The cutting fluid automatic proportioning control system belongs to the field of automation control technology and is mainly used for precise proportioning and regulation of cutting fluid in industrial production. This system automatically monitors and adjusts the proportion of cutting fluid and additives or chemicals to ensure optimal cooling, lubrication and cleaning effects during processing. Its purpose is to improve the efficiency and quality of metal processing, reduce material waste, and ensure process consistency and long-term stability of equipment. The automatic proportioning control system can be widely used in cutting fluid management of CNC machine tools, lathes, milling machines and grinding machines.

[0004] The existing technology adjusts based on preset proportioning parameters, ignoring real-time environmental changes and dynamic factors in the production process. Its fixed proportioning and flow setting are not suitable for complex production conditions, leading to decreased processing accuracy or excessive equipment wear. For example, when the flow of cutting fluid fails to respond to changes in temperature or pressure in a timely manner, it results in reduced cutting efficiency or damaged workpiece surface quality, which in turn affects overall production efficiency. The control feedback delay and long response time in existing technology make it difficult for the system to adjust quickly when device status or process conditions change, resulting in difficulty in ensuring accuracy and stability. Due to the poor adaptability of the system to the environment, manual intervention is often required for real-time adjustment, increasing labor costs and operational complexity and limiting the level of system intelligence. SUMMARY

[0005] The purpose of the present application is to solve the shortcomings in the prior art and to provide a cutting fluid automatic proportioning control system.

[0006] In order to achieve the above object, the present application adopts the following technical scheme: A cutting fluid automatic proportioning control system comprises:

[0007] The flow control module divides multiple production stages based on the cutting fluid production demand, selects a flow regulator, a temperature monitoring device and a concentration sensor, monitors cutting fluid data, acquires cutting fluid flow regulation real-time data, compares the deviation of the set value and the real-time value, adjusts the flow through a flow control valve, and generates a cutting fluid flow feedback regulation strategy;

[0008] The delay compensation module analyzes device response and information transmission delay based on the cutting fluid flow feedback regulation strategy, calculates a compensation amount correction control signal by using a flow meter and pressure regulation hysteresis effect, obtains a delay compensation signal, adjusts the adjustment time and amplitude of the cutting fluid flow, and generates a flow regulation delay compensation control result;

[0009] The dynamic adjustment module detects environmental changes in real time, automatically adjusts the flow regulator parameters, optimizes the proportioning control, generates a dynamic adjustment strategy, corrects the proportioning of the cutting fluid according to the real-time demand of the differentiated production stages, and generates an optimized cutting fluid proportioning result based on the flow regulation delay compensation control result;

[0010] The dynamic flow adjustment module monitors real-time data through a feedback loop, adjusts the flow in combination with a temperature sensor and a control valve, responds to environmental changes, adjusts the flow and concentration, adjusts the proportioning of the cutting fluid, and generates an optimized cutting fluid flow control scheme based on the optimized cutting fluid proportioning result.

[0011] As a further scheme of the present application, the acquisition of the cutting fluid flow regulation real-time data specifically comprises:

[0012] Based on the cutting fluid production demand, the production process is divided and the equipment is deployed, the flow upper and lower limit parameters of the flow regulator are set, the real-time temperature is recorded by starting the temperature monitoring configuration, the concentration sensor is called to monitor the liquid concentration change, and the cutting fluid multi-stage monitoring data is acquired;

[0013] Based on the cutting fluid multi-stage monitoring data, the flow real-time data output by the flow regulator is called, the flow values are compared and collected in stages, the flow deviation value is calculated, the temperature values recorded by the temperature monitoring configuration and the concentration sensor data are associated, and cutting fluid parameter associated data is generated;

[0014] Based on the cutting fluid parameter associated data, the difference value of the flow regulator is extracted, the flow output value of the flow regulator is adjusted, the temperature monitoring device and the concentration sensor are called, the adjusted temperature and concentration data are synchronously monitored, and the cutting fluid flow regulation real-time data is acquired.

[0015] As a further scheme of the present application, the acquisition step of the cutting fluid flow feedback regulation strategy is specifically:

[0016] According to the cutting fluid flow regulation real-time data, the flow data of the cutting fluid is monitored in real time through the flow sensor, the real-time flow is captured and compared with the preset target flow, the deviation of the real-time flow and the target flow is calculated, the deviation value is recorded and stored, and the real-time flow deviation data is acquired;

[0017] Based on the real-time flow deviation data, a threshold is set and it is determined whether the flow needs to be adjusted, for the deviation exceeding the threshold, adjustment is made through the flow control valve, and the formula is adopted:

[0018]

[0019] The flow regulation strategy parameters are acquired;

[0020] Wherein, ΔQ represents the adjustment amount of the flow control valve, k is the flow regulation sensitivity coefficient, ΔF is the deviation value of the real-time flow and the target flow, F target is the target flow, γ is the intensity index of the regulation response, and sign(ΔF) is the sign function of the deviation;

[0021] The flow regulation strategy parameters are utilized to optimize the feedback mechanism of the flow control, the responsiveness and regulation efficiency of the control configuration are analyzed in combination with the original regulation data, the control strategy is adjusted, and the cutting fluid flow feedback regulation strategy is generated.

[0022] As a further scheme of the present application, the acquisition step of the delay compensation signal is specifically:

[0023] The cutting fluid flow feedback regulation strategy is called, the monitoring value of the pressure sensor is collected through the real-time flow meter, the response characteristics of the current flow regulation are recorded, and the response delay time and information transmission delay are distinguished and quantitatively processed, the time deviation is calibrated in combination with the sampling time interval, the device response and signal transmission delay data are generated;

[0024] Based on the device response and signal transmission delay data, in combination with the real-time flow value fed back by the flow meter and the pressure regulation hysteresis effect, the formula is adopted:

[0025]

[0026] The delay compensation amount parameter is calculated;

[0027] Wherein, C delay is the delay compensation amount, L res is the device response delay, L trans is the signal transmission delay, P adj is the current regulation pressure, P ref is the reference pressure, and Ftarget target flow rate;

[0028] The delay compensation parameter is called and superimposed on the current control signal amplitude, and a delay compensation signal is obtained by recalculating the amplitude and time point of the compensation corrected control signal.

[0029] As a further scheme of the present application, the obtaining step of the flow regulation delay compensation control result is specifically:

[0030] Based on the delay compensation signal, real-time flow monitoring data is extracted, the time offset of the current flow output value and the target value is calculated point by point, the time node difference and the amplitude range are recorded, and the flow regulation delay deviation data is obtained;

[0031] Based on the flow regulation delay deviation data, the time offset and the amplitude deviation value are extracted, the flow regulator time control parameter is called, the trigger time node and the amplitude output difference are corrected, and the flow regulation compensation data is obtained;

[0032] Based on the flow regulation compensation data, the output amplitude of the flow regulator is corrected, the flow value after correction is monitored in real time, the current flow and the target value are compared synchronously, and the flow regulation delay compensation control result is obtained.

[0033] As a further scheme of the present application, the obtaining step of the dynamic adjustment strategy is specifically:

[0034] Based on the flow regulation delay compensation control result, in combination with the real-time data of the wear sensor, the wear degree of the machining equipment and the workpiece is detected in real time, the data fed back by the temperature sensor, the pressure sensor and the flow meter are called, the temperature, pressure and flow change trend at the current time point are recorded, the temperature change rate, the pressure fluctuation amplitude and the flow deviation are calculated, the data are sorted, and an environment parameter change set is generated;

[0035] The environment parameter change set is called, the correlation between temperature change, pressure fluctuation and flow deviation is analyzed through the dynamic response characteristics of the flow controller, and the formula:

[0036]

[0037] The flow regulator parameter dynamic adjustment amount is generated;

[0038] Wherein, The flow regulator parameter dynamic adjustment amount, The temperature change value, The pressure change value, The deviation value of the real-time flow and the target flow, And The adjustment weights of temperature and pressure respectively, To adjust the sensitivity index;

[0039] Based on the flow regulator parameter dynamic adjustment amount, the adjustment amount is applied to the control parameter of the current flow regulator, the control output value is calculated with the time point, the correction iteration is carried out according to the flow feedback data, and the dynamic adjustment strategy is generated.

[0040] As a further scheme of the present application, the obtaining step of the optimized cutting fluid proportioning result is specifically:

[0041] Based on the dynamic adjustment strategy, concentration, temperature, flow rate and pressure parameters are extracted, real-time values in the production stage are collected, device parameters are read item by item and abnormal values are calibrated and excluded, and a demand parameter set in the production stage is obtained;

[0042] Based on the demand parameter set in the production stage, the key parameters of concentration, temperature and flow rate are compared, the deviation value of each parameter is calculated by setting a standard parameter range, the variation trend and adjustment range of the current parameter are extracted, and a cutting fluid proportioning adjustment parameter set is generated;

[0043] Based on the cutting fluid proportioning adjustment parameter set, the cutting fluid components are adjusted item by item, the component proportion is proportioned according to the correction value, the cutting fluid is stirred in real time and continuously detected, whether the parameter concentration and temperature reach the standard range are verified, and the optimized cutting fluid proportioning result is obtained.

[0044] As a further scheme of the present application, the obtaining step of the optimized cutting fluid proportioning result is specifically:

[0045] Based on the optimized cutting fluid proportioning result, the feedback loop is called to monitor the flow and concentration data in real time, the current opening parameter of the control valve is combined with the environmental temperature change value, the temperature, flow and concentration data are time-synchronized, the instantaneous change rate and deviation amplitude of the parameters are analyzed, and an environmental dynamic change parameter set is generated;

[0046] According to the environmental dynamic change parameter set, the influence of temperature change, flow deviation and concentration deviation on flow control is analyzed, and the formula is:

[0047]

[0048] The flow response adjustment amount is calculated, and the dynamic correction amount of the flow regulator is obtained;

[0049] Wherein, The flow regulation response amount is, The temperature change value is, The concentration deviation value is, The deviation value of real-time flow and target flow is, 、 And Response coefficients of temperature, concentration and flow rate, respectively, is a weight parameter;

[0050] The dynamic correction amount of the flow regulator is called, the correction amount is input to the current flow control instruction, the opening value of the control valve and the flow output are synchronously corrected, and the optimized cutting fluid flow control scheme is obtained through the real-time control parameter output instruction.

[0051] Compared with the prior art, the advantages and positive effects of the present application are that:

[0052] In the present application, through the meticulous cutting fluid flow and proportioning adjustment process, the demand of different production stages can be accurately adapted, the use efficiency of cutting fluid is optimized, the quality and stability in industrial processing process are significantly improved, the instability caused by environmental fluctuations or equipment response lag can be reduced through real-time monitoring and adjustment of flow, the accurate supply of cutting fluid under different processing conditions is ensured, multiple parameters such as temperature and flow are monitored in real time, the proportioning and flow of cutting fluid are dynamically adjusted, so that the processing error or premature wear of equipment caused by imbalance of proportioning can be effectively avoided, when facing changing production demands, the proportioning strategy is automatically optimized through rapid response to environmental changes, which helps to reduce resource waste in production process, improve production efficiency, the improved proportioning control strategy improves the utilization rate of cutting fluid, and ensures the synchronous improvement of processing quality and equipment service life, significantly reduces the demand for manual intervention and operation complexity. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 is a system flowchart of the present application;

[0054] Figure 2 is a flowchart of cutting fluid flow regulation real-time data in the present application;

[0055] Figure 3 is a flowchart of cutting fluid flow feedback regulation strategy in the present application;

[0056] Figure 4 is a flowchart of delay compensation signal in the present application;

[0057] Figure 5 is a flowchart of flow regulation delay compensation control result in the present application;

[0058] Figure 6 is a flowchart of dynamic adjustment strategy in the present application;

[0059] Figure 7 is a flowchart of optimized cutting fluid proportioning result in the present application;

[0060] Figure 8 is a flowchart of optimized cutting fluid flow control scheme in the present application. DETAILED DESCRIPTION

[0061] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0062] In the description of the present application, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, in the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly and specifically limited.

[0063] Please refer to Figure 1 An automatic cutting fluid proportioning control system comprises:

[0064] The flow control module divides multiple production stages based on the production demand of the cutting fluid, selects a flow regulator, a temperature monitoring device and a concentration sensor, monitors the cutting fluid data, acquires real-time data of cutting fluid flow regulation, compares the deviation between the set value and the real-time value, adjusts the flow through a flow control valve, and generates a cutting fluid flow feedback regulation strategy.

[0065] The delay compensation module analyzes the device response and information transmission delay based on the cutting fluid flow feedback regulation strategy, calculates a compensation amount correction control signal by using the flow meter and the pressure regulation hysteresis effect, obtains a delay compensation signal, adjusts the adjustment time and amplitude of the cutting fluid flow, and generates a flow regulation delay compensation control result.

[0066] The dynamic adjustment module generates a dynamic adjustment strategy based on the flow regulation delay compensation control result, detects environmental changes in real time, automatically adjusts the flow regulator parameters, optimizes the proportioning control, and generates an optimized cutting fluid proportioning result.

[0067] The dynamic flow adjustment module generates an optimized cutting fluid proportioning result based on the optimized cutting fluid proportioning result, monitors real-time data through a feedback loop, adjusts the flow in combination with the temperature sensor and the control valve, responds to environmental changes, adjusts the flow and concentration, adjusts the cutting fluid proportioning, and generates an optimized cutting fluid flow control scheme.

[0068] The cutting fluid flow rate regulation real-time data includes real-time flow rate data, real-time temperature data, and real-time concentration data, the cutting fluid flow rate feedback regulation strategy includes flow rate regulation instructions, set value parameters, and flow rate deviation data, the delay compensation signal includes compensation amount parameters, delay correction signals, and control signal correction values, the flow rate regulation delay compensation control result includes compensation timing parameters, flow rate regulation amplitudes, and delay calibration data, the dynamic adjustment strategy includes environmental change parameters, flow rate regulation parameters, and dynamic proportioning parameters, and the optimized cutting fluid proportioning result includes proportioning concentration values, proportioning temperature values, and flow rate regulation results.

[0069] Referring to Figure 2 The cutting fluid flow rate regulation real-time data acquisition step is specifically as follows:

[0070] Based on the cutting fluid production demand, the production process is divided and the equipment is deployed, the flow rate upper and lower limit parameters of the flow rate regulator are set, the temperature monitoring configuration is started to record the real-time temperature, the concentration sensor is called to monitor the liquid concentration change, and the cutting fluid multi-stage monitoring data is acquired.

[0071] According to the required working pressure, flow rate, and equipment liquid consumption of the cutting fluid, the initial flow rate interval value is calculated, and the interval is taken as the upper and lower limit control parameters of the flow rate regulator, the temperature monitoring configuration is started to record the real-time temperature, the temperature sensor is deployed at the key node position of the cutting fluid output pipeline, the temperature data is collected every minute to form a real-time monitoring curve, the concentration sensor is called to monitor the liquid concentration change, the sensor is fixed at the liquid outlet of the main mixing tank, the sensor is set to collect concentration data every 30 seconds, the data is uploaded to the central monitoring unit in real time after preliminary digital processing by the sensor, and the cutting fluid multi-stage monitoring data is formed, so that the key parameters in the production process are real-time visible and traceable.

[0072] Based on the cutting fluid multi-stage monitoring data, the flow rate real-time data output by the flow rate regulator is called, the flow rate values and the set range are compared and collected in stages, the flow rate deviation value is calculated, the temperature values recorded by the temperature monitoring configuration and the concentration sensor data are associated, and the cutting fluid parameter associated data is generated.

[0073] The output flow is divided into the initial flow segment, the intermediate flow segment and the stable flow segment according to the production stage. The real-time flow data of each stage is recorded and compared with the preset upper and lower limits of the flow. The real-time data is calculated by the data processing module to obtain the deviation value between the current flow and the set range. Combined with the temperature value recorded by the temperature monitoring configuration and the liquid concentration data of the concentration sensor, the correlation between the temperature, concentration and flow data of the cutting fluid at different stages is compared. The temperature data obtained every minute is integrated with the concentration value and flow difference at the corresponding time point to obtain the cutting fluid parameter correlation data, and the flow-temperature-concentration relationship at different stages is presented in the form of a chart, so as to intuitively analyze the matching degree and abnormal deviation between the parameters.

[0074] Based on the cutting fluid parameter correlation data, the difference value of the flow regulator is extracted, the flow output value of the flow regulator is adjusted, the temperature monitoring device and the concentration sensor are called, the adjusted temperature and concentration data are synchronously monitored, and the real-time data of the cutting fluid flow regulation is obtained;

[0075] By adjusting the flow output value of the regulator, the difference is fed back to the flow regulator, so that the regulator gradually adjusts the flow output until the flow difference is controlled within the minimum error range. The temperature monitoring configuration and concentration sensor are called to synchronously monitor the adjusted temperature and concentration data respectively to form a secondary real-time monitoring curve. The data verification cycle is 3 minutes to ensure that the adjusted flow, temperature and concentration are maintained within the target range. The real-time collected cutting fluid data is uploaded to the central control system for further data storage and analysis, and the real-time data of cutting fluid flow regulation is obtained to provide accurate data support for the continuous optimization of subsequent automatic proportioning control, thereby ensuring the accuracy and stability of the cutting fluid supply process.

[0076] See also Figure 3 , the specific steps for obtaining the cutting fluid flow feedback regulation strategy are:

[0077] Adjust the real-time data according to the cutting fluid flow rate, monitor the cutting fluid flow rate data in real time through the flow sensor, capture the real-time flow rate and compare it with the preset target flow rate, calculate the deviation between the real-time and target flow rates, record and store the deviation value, and obtain the real-time flow rate deviation data;

[0078] The flow data of the cutting fluid is monitored in real time by the flow sensor, the actual flow value is obtained from the cutting fluid flow detection module, and the data is uploaded to the control center, the preset target flow parameter is called for real-time comparison, the deviation between the actual flow and the target flow at each time point is calculated, and the deviation data is stored in the cache area in time sequence. The data collected in real time is denoised, abnormal values caused by instantaneous fluctuations are screened out by setting the rejection standard of abnormal flow data, the effectiveness of the recorded deviation data is ensured, then based on the method of time series analysis, the deviation data is trend-identified and data-smoothed, and periodic jitter data is further rejected. When performing deviation calculation, the flow deviation values at multiple time points are averaged, standard deviation calculation is performed, the dispersion degree of flow fluctuation is obtained, the result is used to identify the deviation severity of the current adjustment state, and finally real-time flow deviation data is obtained for subsequent flow regulation control link calling and use.

[0079] Based on the real-time flow deviation data, a threshold is set and it is determined whether the flow needs to be adjusted. For the deviation exceeding the threshold, adjustment is performed through the flow control valve, and the formula is:

[0080]

[0081] Obtain the flow regulation strategy parameters;

[0082] Wherein, represents the adjustment amount of the flow control valve, is the flow regulation sensitivity coefficient, is the deviation value of the real-time flow and the target flow, is the target flow, is the intensity index of the adjustment response, is the sign function of the deviation;

[0083] The advantage of the formula is that the flow deviation is normalized, the target flow is combined, and the sensitivity parameter and the nonlinear index are introduced, so that the response speed and the regulation amplitude of the flow regulation are accurately controlled, and the regulation adaptability and the system stability are improved;

[0084] Through actual detection, the target flow is set to L / min, and the real-time flow is L / min;

[0085] The real-time deviation is calculated as: ;

[0086] The sensitivity coefficient is set to 0.5, and the index adjustment parameter is:

[0087]

[0088]

[0089]

[0090] The results show that the flow of cutting fluid needs to be reduced The unit, the minus sign indicates that the control valve executes a reduction adjustment action, the adjustment amount is used to generate a specific flow adjustment instruction, and the flow control valve is driven to dynamically adjust the flow of cutting fluid, and finally ensure that the flow matches the target flow.

[0091] Using the flow adjustment strategy parameters, the feedback mechanism of flow control is optimized, the responsiveness and adjustment efficiency of the control configuration are analyzed based on the original adjustment data, the control strategy is adjusted, and the cutting fluid flow feedback adjustment strategy is generated.

[0092] Based on the original flow adjustment data, the system adjustment effect is retrospectively analyzed, the actual flow and deviation data of each time node in the original flow adjustment database are called, the data is arranged in time sequence, the deviation value of each time node is matched and calculated with the corresponding adjustment result, the response relationship between the adjustment action and the flow feedback is analyzed, the response error between the original flow adjustment deviation and the actual feedback is calculated through the error calculation model, and based on the size of the response error, the adjustment period is screened, the error is larger. The adjustment period is removed, and the adjustment interval with accurate response is retained. Based on the obtained adjustment interval, the current flow feedback adjustment strategy parameters and the original optimal adjustment parameters are weighted and averaged, the current adjustment parameter value is adjusted through a dynamic error weight calculation method, and finally the cutting fluid flow feedback adjustment strategy is generated. As the dynamic adjustment instruction of the flow control system, it is applied in the real-time flow feedback control link to realize the continuous monitoring and real-time adjustment of the flow.

[0093] Please refer to Figure 4 The acquisition step of the delay compensation signal is specifically:

[0094] The cutting fluid flow feedback adjustment strategy is called, the monitoring value of the pressure sensor is collected through the real-time flow meter, the response characteristics of the current flow adjustment are recorded, and the response delay time and information transmission delay are distinguished and quantitatively processed. Combined with the sampling time interval, the time deviation is calibrated, and the device response and signal transmission delay data are generated.

[0095] Based on the real-time monitoring data of flow meter and pressure sensor, the actual flow value and pressure response value of the current device are obtained through the data acquisition module, and the real-time data is sorted and stored according to the time stamp to establish a time series data set. According to the sampling period, the acquisition interval of the sensor signal is calculated, the time deviation in the current signal transmission process is analyzed combined with the current device working state, the device response delay time and signal transmission delay time at each moment are recorded. For the device response delay, the time difference feedback by the flow meter is used for quantitative analysis, and a threshold is set to remove noise data and abnormal delay points. For the signal transmission delay, the delay amount of different transmission paths is analyzed by comparing the time stamps of the transmission data packets, and the delay of different time periods is smoothed to form a stable data set, so as to obtain the device response and signal transmission delay data, provide quantitative input for the calculation of compensation amount, and ensure the accuracy and time sequence consistency of time data.

[0096] Based on the device response and signal transmission delay data, combined with the real-time flow value feedback by the flow meter and the pressure regulation hysteresis effect, the formula is:

[0097]

[0098] The delay compensation amount parameter is calculated;

[0099] Wherein, is the delay compensation amount, is the device response delay, is the signal transmission delay, is the current regulation pressure, is the reference pressure, is the target flow;

[0100] The advantage of the formula is that the device response delay and the signal transmission delay are accumulated, and combined with the nonlinear calculation of pressure adjustment amount and target flow, the calculation accuracy of compensation amount and the adaptation ability to hysteresis effect are improved, and the flow regulation deviation caused by signal delay is effectively corrected.

[0101] Formula details and formula calculation derivation process:

[0102] (device response delay, obtained by time difference of sensor data log);

[0103] (signal transmission delay, obtained by comparing data packet transmission time stamps);

[0104] (current regulation pressure, monitored by pressure sensor in real time);

[0105] (reference pressure, set by normal operation reference value of the device);

[0106] (target flow rate, preset by the cutting fluid adjustment strategy);

[0107] Calculate the absolute value of the pressure difference: ;

[0108] Calculate the denominator part: ;

[0109] Calculate the square root part: ;

[0110] Calculate the compensation amount: ;

[0111] The result shows that the delay compensation parameter calculation result is , indicating that the compensation amount needs to be superimposed on the current control signal to adjust the signal lag in the cutting fluid flow feedback strategy, ensuring that the control signal and the device response are synchronized in the time dimension.

[0112] Call the delay compensation parameter, superimposed on the current control signal amplitude, and recalculate the amplitude and time point of the compensation corrected control signal to obtain the delay compensation signal;

[0113] Combined with the amplitude and time sequence data of the current control signal, first superimpose the compensation amount on the output amplitude of the current control signal, and adjust the amplitude of the adjusted signal. Based on the device response delay data and transmission delay data, re-plan the output time point of the control signal, and through the establishment of a time synchronization mapping table, distribute the corrected control signal to the corresponding output period, and perform time sequence segmentation on the corrected signal, corresponding to the time nodes of the device feedback one by one, to ensure that the time delay of the signal in the transmission path and the device response lag effect are corrected at the same time. The compensated control signal is input to the flow regulation execution unit to update the cutting fluid flow regulation control strategy in real time, and the delay compensation signal is obtained, completing the whole process of signal amplitude and time synchronization adjustment.

[0114] Please refer to Figure 5 , the steps for obtaining the flow regulation delay compensation control result are:

[0115] Based on the delay compensation signal, extract the real-time monitoring data of the flow, calculate the time offset of the current flow output value and the target value point by point, record the time node difference and amplitude range, and obtain the flow regulation delay deviation data;

[0116] The real-time flow data output by the flow regulator is collected by the flow sensor, and the flow value at each time point is extracted point by point in time sequence. The difference between the current flow output value and the target value is calculated by combining the target flow value, the time offset between the two is determined, the key nodes of the flow response lag are determined, the difference data of the time nodes are recorded, including the time interval of the offset and the change range of the flow amplitude, and the data is used as the basic information of the flow regulation delay deviation. The recorded time node difference and amplitude change data are classified and arranged, divided into three levels of mild delay, moderate delay and severe delay, to ensure accurate positioning of the flow response lag at different stages, and finally obtain the flow regulation delay deviation data to provide data basis for subsequent compensation process.

[0117] Based on the flow regulation delay deviation data, the time offset and amplitude deviation value are extracted, the time control parameters of the flow regulator are called, the trigger time node and amplitude output difference are corrected, and the flow regulation compensation data is obtained;

[0118] The numerical value is associated with the time control parameters of the flow regulator. By comparing the difference between the current time control parameters and the target trigger node, the trigger time node of the flow regulator is gradually corrected, the gain parameter of the flow output is recalibrated according to the amplitude deviation value, to ensure that the flow regulator can respond to the regulation instruction more quickly after correction, adjust the trigger period of the time trigger controller, gradually reduce the time offset of the response lag to the minimum value, and dynamically feedback and calibrate the amplitude output difference to reduce the output fluctuation amplitude of the flow regulator at different working stages. Obtain the flow regulation compensation data and upload it to the central control unit in real time to form a visual analysis result.

[0119] Based on the flow regulation compensation data, the output amplitude of the flow regulator is corrected, the flow value after correction is monitored in real time, the current flow value is compared with the target value, and the flow regulation delay compensation control result is obtained;

[0120] The compensated flow data is compared with the target value by using real-time feedback mechanism, the flow value after correction is monitored to ensure that the flow deviation is maintained within the minimum error range, the flow, temperature and concentration values of the current cutting fluid are monitored synchronously by the flow sensor and temperature monitoring device, the correction effect of the flow regulator is verified, the control deviation of the flow regulation output is automatically identified by combining the real-time data comparison process, and the time node and output amplitude are further dynamically adjusted to form a closed-loop control feedback system. Obtain the flow regulation delay compensation control result and store the data in the historical monitoring library to provide support for the stability and precision of the subsequent automatic proportioning control of cutting fluid, and ensure that the flow regulator can accurately and efficiently respond to production needs.

[0121] Please refer to Figure 6 , the acquisition steps of the dynamic adjustment strategy are:

[0122] Based on the flow regulation delay compensation control result, the real-time data of the wear sensor is combined to detect the wear degree of the machining equipment and the workpiece in real time, the data fed back by the temperature sensor, the pressure sensor and the flow meter are called, the temperature, pressure and flow change trend at the current time point are recorded, the temperature change rate, the pressure fluctuation amplitude and the flow deviation are calculated, the data are sorted, and an environment parameter change set is generated;

[0123] Firstly, the real-time data of the temperature, pressure, flow and wear sensor are stored and marked according to the time stamp sequence, then the statistical screening method is used to eliminate abnormal values and noise data, and the effectiveness and continuity of the collected data are ensured. For the temperature parameter, the change rate is calculated, and the instantaneous temperature change rate is obtained by dividing the temperature difference between the two time points by the time interval; for the pressure data, the pressure fluctuation amplitude is quantified by calculating the difference between the maximum pressure and the minimum pressure, and the moving average processing is performed on the pressure change; for the flow parameter, the deviation between the current flow and the target flow is monitored in real time, and the flow deviation is standardized to reduce the error caused by different sampling cycles. Combined with the real-time data of the wear sensor, the wear degree of the machining equipment and the workpiece is detected in real time, and the wear data is associated with the environmental parameters to analyze the potential impact on the stability of the equipment operation. On this basis, combined with the change trend of temperature, pressure, flow and wear, an environment parameter and equipment state change set is generated to provide necessary dynamic input data for the next step of flow regulator parameter adjustment and equipment maintenance strategy optimization, realizing the quantitative analysis and data standardization processing of the environmental parameters and the wear degree.

[0124] The environment parameter change set is called, the correlation between temperature change, pressure fluctuation and flow deviation is analyzed through the dynamic response characteristics of the flow controller, and the formula is adopted:

[0125]

[0126] The flow regulator parameter dynamic adjustment amount is generated;

[0127] Wherein, The flow regulator parameter dynamic adjustment amount is The temperature change value is The pressure change value is The deviation value between the real-time flow and the target flow is And The adjustment weight of temperature and pressure respectively is The adjustment sensitivity index is

[0128] The formula has the beneficial effect of accurately quantifying the influence of dynamic environmental changes on the flow regulator by weighted processing of temperature changes and pressure fluctuations, combined with the nonlinear square root operation of flow deviation, achieving the dual optimization of responsiveness and adaptability of the control parameters;

[0129] (Temperature change value, instantaneous temperature difference obtained by temperature sensor monitoring);

[0130] (Pressure change value, pressure fluctuation amplitude calculated by pressure sensor);

[0131] (Real-time flow deviation value from target flow, measured by flow meter);

[0132] , (Weight parameter, based on historical data analysis of temperature and pressure influence weight);

[0133] (Sensitivity index, set by analyzing the response characteristics of the regulator and the influence degree of environmental changes);

[0134] Calculate the weighted sum of temperature and pressure: ;

[0135] Calculate the square root of flow deviation: ;

[0136] Calculate the parameter adjustment amount: ;

[0137] Denominator calculation result: ;

[0138] Exponential operation: ;

[0139] The result shows that the flow regulator parameter adjustment amount is , indicating that the adjustment amount needs to be added to the existing parameters of the flow controller to adapt to the dynamic changes of temperature, pressure and flow, and to achieve dynamic control of the flow regulator.

[0140] Based on the flow regulator parameter dynamic adjustment amount, the adjustment amount is applied to the control parameters of the current flow regulator to calculate the control output value and time point, and the correction iteration is performed according to the flow feedback data to generate a dynamic adjustment strategy;

[0141] The corrected parameters are verified by the real-time feedback module, and the parameter correction error is calculated according to the real-time response data fed back by the flow execution unit. For the correction error, the control parameters are gradually optimized by the incremental allocation method, the amplitude and time point of the flow output are adjusted in real time, and the temperature, pressure and flow feedback data are monitored again to ensure that the corrected control parameters can be matched with the current state of the equipment in real time. The final corrected parameters are sent to the flow regulator execution unit to update the control instructions of the execution unit, and the actual execution effect of the control instructions is monitored in real time to finally form a dynamic adjustment strategy, realizing parameter adjustment and control optimization of the flow regulator in a dynamic environment.

[0142] Please refer to Figure 7 The step of obtaining the optimized cutting fluid proportioning result is specifically:

[0143] Based on the dynamic adjustment strategy, the concentration, temperature, flow rate and pressure parameters are extracted, the real-time values in the production stage are collected, the device parameters are read one by one and the abnormal values are calibrated and eliminated, and the demand parameter set in the production stage is obtained.

[0144] The sensor network is deployed at the key nodes of the cutting fluid production line to collect the dynamic values of various parameters in real time. The concentration data is continuously collected by the concentration sensor at a period of 30 seconds. The temperature monitoring module is installed at the main pipeline node of the cutting fluid flow to read the temperature change value every minute. The flow rate and pressure data are recorded by the flow sensor and the pressure monitor respectively to obtain the production stage parameters. In the data extraction process, the data processing module is used to preliminarily screen all collected parameters to eliminate abnormal values caused by instantaneous interference, so as to ensure the accuracy and stability of the data. The running values of the device parameters such as the flow regulator and the stirring device are recorded synchronously, and the data is calibrated item by item to eliminate the influence of the initial error of the device. Finally, the demand parameter set in the production stage is formed to provide effective basic data for the automatic proportioning process of the cutting fluid.

[0145] Based on the demand parameter set in the production stage, the key parameters of concentration, temperature and flow rate are compared, the deviation value of each parameter is calculated by setting a standard parameter range, the variation trend and adjustment range of the current parameter are extracted, and the cutting fluid proportioning adjustment parameter set is generated.

[0146] Set the standard parameter range: such as concentration control in 3% to 6%, temperature is maintained at 25 to 35 ℃, the flow rate is in the range of 1.2 to 1.8 cubic meters / hour, by comparing the real-time data with the standard range, calculate the deviation value of each parameter, and according to the deviation value, the change trend analysis, concentration deviation through the continuous detection of different time node concentration difference, extract the direction and adjustment amplitude of concentration change; temperature deviation through the slope calculation of monitoring curve, judge the temperature fluctuation range, the stability of flow rate is determined by the fluctuation frequency and amplitude of deviation value, form the comprehensive parameter change trend and adjustment range, the real-time state of each parameter and the set standard range are integrated, and the cutting fluid ratio adjustment parameter set is generated, which provides data support for the optimization of automatic proportioning control system.

[0147] Based on the cutting fluid ratio adjustment parameter set, the cutting fluid composition is adjusted item by item, and the component proportion is adjusted according to the correction value. The cutting fluid is stirred in real time and continuously detected to verify whether the parameter concentration and temperature reach the standard range, and the optimized cutting fluid ratio result is obtained.

[0148] By correcting the composition ratio of cutting fluid, the concentration is adjusted, and the proportion of cutting fluid concentrate and water is re-proportioned according to the deviation correction value. For example, when the concentration deviation is-0.5%, the system automatically increases the cutting fluid concentrate dispensing amount, while monitoring the change of water flow rate to ensure the accurate control of liquid proportion. After the composition adjustment, the stirring device immediately stirs the cutting fluid at high speed, continuously and uniformly stirs every 2 minutes to ensure the uniformity of proportioning. The corrected cutting fluid is detected by the concentration sensor and temperature monitoring module in real time, and the parameter concentration and temperature are checked one by one to verify whether the values are stable and maintained within the standard range. Through comparison of 5 continuous cycles of data, the accuracy of cutting fluid proportioning is confirmed, and the optimized cutting fluid proportioning result is finally obtained, realizing efficient execution of automatic proportioning control process and accurate matching of production demand.

[0149] Please refer to Figure 8 The acquisition steps of the optimized cutting fluid flow control scheme are as follows:

[0150] Based on the optimized cutting fluid ratio result, the feedback loop is called to monitor the flow and concentration data in real time, and the current opening parameters of the control valve are combined with the environmental temperature change value to perform time synchronization processing on the temperature, flow and concentration data. The instantaneous change rate and deviation amplitude of the parameters are analyzed to generate the environmental dynamic change parameter set.

[0151] The various types of monitoring data are marked and stored in time sequence by the data storage module, and then noise filtering and abnormal data elimination processing are performed. The elimination rules are based on the standard deviation and threshold range of historical data. The average value and variance are calculated to screen abnormal data points and eliminate them. The effective data is retained. Then the change trend of flow, temperature and concentration in different periods is analyzed. The deviation of flow data and target value is calculated. The deviation amplitude is quantified by the difference between the current flow and the set flow. The concentration data are quantified by comparing the real-time concentration value with the set concentration value. The real-time temperature difference is recorded and the change rate is calculated. The temperature change value, concentration deviation value and flow deviation value are formed. Finally, the processed data is standardized. The data is adjusted to a comparable range by the minimum-maximum normalization method. The environmental dynamic change parameter set is formed. Effective parameter input is provided for the next step of flow regulation and control instruction optimization.

[0152] According to the environmental dynamic change parameter set, the influence of temperature change, flow deviation and concentration deviation on flow control is analyzed. The formula is:

[0153]

[0154] The flow response adjustment amount is calculated to obtain the dynamic correction amount of the flow regulator.

[0155] Wherein, is the flow regulation response amount, is the temperature change value, is the concentration deviation value, is the deviation value of real-time flow and target flow, , and are the response coefficients of temperature, concentration and flow respectively, is the weight parameter;

[0156] The advantage of the formula is that through the dynamic weighted calculation of temperature, concentration and flow deviation, combined with the comprehensive correction of the weight parameter , the influence degree of each parameter on flow regulation can be quantified, and the response effect of cutting fluid proportioning control can be improved.

[0157] (Temperature change value, obtained by real-time monitoring and calculation of temperature difference by temperature sensor);

[0158] (concentration deviation value, obtained by the difference between real-time concentration value and target concentration value);

[0159] (flow deviation value, calculated by the difference between real-time flow data and set target value);

[0160] , , (response coefficient, evaluate the influence weight of each parameter on flow regulation based on historical monitoring data);

[0161] (comprehensive weight parameter, determine by system historical control accuracy and dynamic adjustment demand);

[0162] Calculate the weighted sum of temperature, concentration and flow deviation: ;

[0163] Calculate item by item: ;

[0164] Multiply the weighted sum by the comprehensive weight parameter: ;

[0165] The result shows that the flow regulation response amount is , indicating that the correction value needs to be added to the existing flow control instruction to adjust the control valve opening degree, optimize the flow output and concentration ratio control of cutting fluid, and ensure that the adjustment response matches the current environmental conditions dynamically.

[0166] Call the dynamic correction amount of the flow regulator, input the correction amount to the current flow control instruction, synchronize the opening value of the control valve and the flow output, and get the optimized cutting fluid flow control scheme through real-time control parameter output instruction;

[0167] First, calculate the corrected opening degree value of the control valve, linearly superimpose the current valve opening degree and the correction amount to form the corrected opening instruction, combine the temperature and concentration deviation in the environmental dynamic change parameter set, real-time check the corrected instruction, monitor the actual output flow data of the flow execution unit, and compare with the target flow value to calculate the new error value. For the case where the error exceeds the set threshold, perform error correction, gradually optimize the control instruction by incremental iteration, continuously adjust the control valve opening degree and flow output, send the optimized control instruction to the execution unit, and continuously monitor the data. Through the feedback loop, judge the real-time response effect of the control parameters until the system error is stable within the preset range, form the optimized cutting fluid flow control scheme, and realize dynamic flow regulation and concentration control in dynamic environment.

[0168] The above merely describes the preferred embodiments of the present application, and is not intended to limit the present application in other forms. Any skilled person in the art can modify or change the disclosed technical content into equivalent embodiments with equivalent changes, and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application, without departing from the technical solution content of the present application, still falls within the protection scope of the present application.

Claims

1. A cutting fluid automatic proportioning control system, characterized in that: The system comprises: The flow control module divides the production process into multiple stages based on the cutting fluid production requirements, selects flow regulators, temperature monitoring devices, and concentration sensors, monitors cutting fluid data, obtains real-time data on cutting fluid flow regulation, compares the deviation between the set value and the real-time value, adjusts the flow through the flow control valve, and generates a cutting fluid flow feedback regulation strategy. The delay compensation module analyzes the equipment response and information transmission delay based on the cutting fluid flow feedback regulation strategy, uses the flow meter and pressure regulation hysteresis effect, calculates the compensation amount to correct the control signal, obtains the delay compensation signal, adjusts the adjustment timing and amplitude of the cutting fluid flow, and generates the flow regulation delay compensation control result; The dynamic adjustment module detects the wear degree of the processing equipment and the workpiece in real time based on the flow adjustment delay compensation control result and the real-time data of the wear sensor, automatically adjusts the flow regulator parameters, optimizes the ratio control, generates a dynamic adjustment strategy, corrects the cutting fluid ratio according to the real-time demand and wear status of the differentiated production stage, and generates an optimized cutting fluid ratio result; The steps for obtaining the dynamic adjustment strategy are specifically as follows: Based on the flow regulation delay compensation control result, combined with the real-time data of the wear sensor, the wear degree of the processing equipment and the workpiece is detected in real time, the data feedback from the temperature sensor, pressure sensor and flow meter are called, the temperature, pressure and flow change trends at the current time point are recorded, the temperature change rate, pressure fluctuation amplitude and flow deviation are calculated, the data are sorted, and a set of environmental parameter changes is generated; The environmental parameter change set is called, and the relationship between temperature change, pressure fluctuation and flow deviation is analyzed through the dynamic response characteristics of the flow controller, using the formula: Generate dynamic adjustment amount of flow regulator parameters; in, is the dynamic adjustment amount of the flow regulator parameters, is the temperature change value, is the pressure change value, is the deviation between the real-time flow and the target flow, and are the adjustment weights of temperature and pressure respectively, To adjust the sensitivity index; Based on the dynamic adjustment amount of the flow regulator parameter, the adjustment amount is applied to the control parameter of the current flow regulator, the control output value and time point are calculated, and correction iteration is performed according to the flow feedback data to generate a dynamic adjustment strategy; The steps for obtaining the optimized cutting fluid ratio result are specifically as follows: Based on the dynamic adjustment strategy, concentration, temperature, flow rate, and pressure parameters are extracted, real-time values ​​of the production stage are collected, equipment parameters are read item by item and calibrated to eliminate abnormal values, and the required parameter set of the production stage is obtained; Based on the production stage requirement parameter set, key parameters such as concentration, temperature, and flow rate are compared, and by setting a standard parameter range, the deviation value of each parameter is calculated item by item, the change trend and adjustment range of the current parameter are extracted, and a cutting fluid ratio adjustment parameter set is generated; Based on the cutting fluid ratio adjustment parameter set, the cutting fluid components are adjusted item by item, the component ratio is proportioned according to the correction value, the cutting fluid is stirred in real time and continuously tested to verify whether the parameter concentration and temperature meet the standard range, and the optimized cutting fluid ratio result is obtained; The dynamic flow adjustment module monitors real-time data through a feedback loop based on the optimized cutting fluid ratio result, adjusts the flow rate in combination with a temperature sensor and a control valve, responds to environmental changes, adjusts the flow rate and concentration, adjusts the cutting fluid ratio, and generates an optimized cutting fluid flow control plan; The steps for obtaining the optimized cutting fluid flow control scheme are specifically as follows: Based on the optimized cutting fluid ratio result, a feedback loop is called to monitor the flow rate and concentration data in real time. The temperature, flow rate and concentration data are synchronized with each other in combination with the ambient temperature change value and the current opening parameter of the control valve. The instantaneous change rate and deviation amplitude of the parameters are analyzed to generate a set of dynamic environmental change parameters. According to the dynamic environmental change parameter set, the influence of temperature change, flow deviation and concentration deviation on flow control is analyzed, and the formula is used: Calculate the flow response adjustment amount and obtain the dynamic correction amount of the flow regulator; in, is the flow regulation response, is the temperature change value, is the concentration deviation value, is the deviation between the real-time flow and the target flow, 、 and are the response coefficients of temperature, concentration and flow rate, respectively, is the weight parameter; The dynamic correction amount of the flow regulator is called, the correction amount is input into the current flow control instruction, the opening value and flow output of the control valve are synchronously corrected, and the instruction is output through real-time control parameters to obtain an optimized cutting fluid flow control scheme.

2. The cutting fluid automatic proportioning control system according to claim 1, characterized in that: The steps for obtaining the real-time data of cutting fluid flow regulation are specifically as follows: Based on cutting fluid production requirements, the production process is divided and equipment is deployed. The upper and lower flow limit parameters of the flow regulator are set. The temperature monitoring configuration is enabled to record the real-time temperature. The concentration sensor is used to monitor the changes in liquid concentration and obtain multi-stage monitoring data of the cutting fluid. Based on the cutting fluid multi-stage monitoring data, the real-time flow data output by the flow regulator is called, the flow value and the set range are compared and collected in stages, the flow deviation difference is calculated, and the temperature value recorded by the temperature monitoring configuration is correlated with the concentration sensor data to generate cutting fluid parameter correlation data; Based on the cutting fluid parameter correlation data, the difference value of the flow regulator is extracted, the flow output value of the flow regulator is adjusted, the temperature monitoring device and the concentration sensor are called, the adjusted temperature and concentration data are synchronously monitored, and the real-time data of the cutting fluid flow regulation is obtained.

3. The cutting fluid automatic proportioning control system according to claim 2, characterized in that: The steps for obtaining the cutting fluid flow feedback regulation strategy are specifically as follows: According to the cutting fluid flow rate real-time data, the flow rate data of the cutting fluid is monitored in real time by a flow sensor, the real-time flow rate is captured and compared with a preset target flow rate, the deviation between the real-time and target flow rates is calculated, the deviation value is recorded and stored, and the real-time flow rate deviation data is obtained; Based on the real-time flow deviation data, a threshold is set to determine whether the flow needs to be adjusted. For deviations exceeding the threshold, adjustments are made through the flow control valve using the formula: Get traffic regulation policy parameters; in, Indicates the adjustment amount of the flow control valve, is the flow rate adjustment sensitivity coefficient, is the deviation between the real-time flow and the target flow, is the target flow, To adjust the intensity index of the response, is the sign function of the deviation; The flow regulation strategy parameters are used to optimize the feedback mechanism of flow control, and the responsiveness and regulation efficiency of the control configuration are analyzed in combination with the original regulation data. The control strategy is adjusted to generate a cutting fluid flow feedback regulation strategy.

4. The cutting fluid automatic proportioning control system according to claim 3, characterized in that: The steps of obtaining the delay compensation signal are specifically as follows: Invoke the cutting fluid flow feedback regulation strategy, collect the monitoring value of the pressure sensor through the real-time flow meter, record the response characteristics of the current flow regulation, distinguish and quantify the response delay time and information transmission delay, perform time deviation calibration based on the sampling time interval, and generate equipment response and signal transmission delay data; Based on the equipment response and signal transmission delay data, combined with the real-time flow value fed back by the flow meter and the pressure regulation hysteresis effect, the formula is used: The delay compensation parameters are calculated; among them, is the delay compensation amount, For device response delay, is the signal transmission delay, is the current regulation pressure, is the reference pressure, is the target flow; The delay compensation parameter is called and superimposed on the current control signal amplitude, and the delay compensation signal is obtained by recalculating the amplitude and time point of the compensated control signal.

5. The cutting fluid automatic proportioning control system according to claim 4, characterized in that: The steps for obtaining the flow regulation delay compensation control result are specifically as follows: Based on the delay compensation signal, the real-time flow monitoring data is extracted, the time offset between the current flow output value and the target value is calculated point by point, the time node difference and amplitude range are recorded, and the flow regulation delay deviation data is obtained; Based on the flow regulation delay deviation data, extract the time offset and amplitude deviation value, call the flow regulator time control parameter, correct the trigger time node and amplitude output difference, and obtain the flow regulation compensation data; Based on the flow regulation compensation data, the flow regulator output amplitude is corrected, the corrected flow value is monitored in real time, the current flow is synchronously compared with the target value, and the flow regulation delay compensation control result is obtained.

Images