Glue coating tension closed loop control method combining tension and speed feedback
By combining tension and speed feedback in a closed-loop control method for coating tension, the problems of uneven coating thickness and unstable roll tension in existing technologies have been solved. This method achieves dynamic tension control and thickness uniformity during the film winding process, thereby improving product quality.
Patent Information
- Application Number
- CN202511586918.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-03
- Publication Date
- 2025-12-30
- Estimated Expiration
- 2045-11-03
AI Technical Summary
Existing technologies rely on constant speed control of the drive rollers and feedback from a single tension sensor, which cannot predict changes in roll diameter growth rate, linear speed of the front and rear drive rollers, and current of the take-up motor. This results in uneven coating thickness and unstable roll tension, affecting product quality.
The coating tension closed-loop control method, which combines tension and speed feedback, collects the roll diameter growth rate, front and rear drive roller linear speeds, take-up motor current and floating roller stroke margin through multi-parameter fusion and closed-loop control algorithm. It generates a speed correction factor, adjusts the rear drive roller linear speed in real time, and monitors the coating thickness to suppress fluctuations.
It enables dynamic prediction and real-time correction of tension changes during the film coating process, improving coating uniformity and production stability, and suppressing thickness fluctuations.
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Figure CN121044406B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of glue coating tension control, and more particularly to a glue coating tension closed-loop control method combining tension and speed feedback. BACKGROUND
[0002] The glue coating process is a key process in the production of thin film materials and the processing of coiled materials, and its production quality directly affects the uniformity of the film coating, the physical properties of the product, and the stability of subsequent processing. In the prior art, the coiling stage of the glue coating production line usually relies on constant speed control of the drive roller and single feedback of the tension sensor to maintain the tension of the coiled material.
[0003] The prior art has the following disadvantages:
[0004] Currently, the prior art relies on constant speed control of the drive roller and single feedback of the tension sensor, and cannot predict tension fluctuations according to the roll diameter growth rate, the line speed of the front and rear drive rollers, and the current change of the coiling motor. It lacks a closed-loop control mechanism that integrates multiple parameters, affecting the uniformity of the coating thickness and the stability of the coiled material tension, resulting in reduced product coating quality and increased thickness fluctuation impact. Therefore, a glue coating tension closed-loop control method combining tension and speed feedback is proposed.
[0005] The above information disclosed in the background section is only used to enhance the understanding of the background of the present disclosure, and therefore it can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY
[0006] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide a glue coating tension closed-loop control method combining tension and speed feedback, which uses the roll diameter growth rate, the line speed of the front and rear drive rollers, the current of the coiling motor, the data of the tension sensor, and the multi-parameter integration of the floating roller stroke margin and the closed-loop control algorithm to solve the problems raised in the background art.
[0007] To achieve the above-mentioned purpose, the present application provides the following technical scheme, a glue coating tension closed-loop control method combining tension and speed feedback, comprising the following steps:
[0008] Step S1: When the glue coating production line is in the coiling stage, set the detection time, collect the roll diameter data of the rear drive roller, calculate the roll diameter growth rate according to the roll diameter data, and use the roll diameter growth rate to determine whether to enter the tension prediction mechanism;
[0009] Step S2: When entering the tension prediction mechanism, detect the line speed of the front and rear drive rollers and evaluate the speed deviation characteristics, collect the motor current data of the coiling motor, predict the tension change state in combination with the speed deviation characteristics, and determine whether to enter the tension correction stage;
[0010] Step S3: When entering the tension correction stage, the tension data of the current winding section is collected by the tension sensor, the travel allowance of the floating roller is detected, and the floating roller balance state is analyzed, and the speed correction factor is generated by fusing the tension data and the floating roller balance state;
[0011] Step S4: Adjust the linear speed of the rear drive roller using the speed correction factor, monitor the coating thickness on the surface of the winding section after adjustment, and evaluate the thickness fluctuation coefficient according to the monitoring result to determine whether to enter the tension prediction mechanism again.
[0012] In a preferred embodiment, in step S1, when the rubber coating production line is in the winding stage, a detection time is preset and divided into multiple detection times, the winding radius value of the rubber film on the rear drive roller is collected by the winding radius sensor, and the winding radius value is taken as the winding radius data;
[0013] The winding radius data of each detection time is combined in time sequence to form a winding radius data sequence;
[0014] The winding radius data sequence is substituted into the least squares method to linearly fit the winding radius data and the corresponding detection time to output the fitting slope, which is taken as the winding radius growth rate;
[0015] If the winding radius growth rate is greater than the preset growth rate threshold, it is determined to enter the tension prediction mechanism;
[0016] Otherwise, it is determined not to enter the tension prediction mechanism.
[0017] In a preferred embodiment, in step S2, when entering the tension prediction mechanism, a sampling period is preset and divided into multiple sampling times, and the rotational speed data of the front and rear drive rollers is collected by the encoders arranged on the front and rear drive rollers;
[0018] The product of the rotational speed data of the front drive roller and the corresponding roller radius is taken as the linear speed of the front drive roller, and the product of the rotational speed data of the rear drive roller and the corresponding roller radius is taken as the linear speed of the rear drive roller.
[0019] In a preferred embodiment, in step S2, the difference between the linear speed of the rear drive roller and the linear speed of the front drive roller is taken as the speed deviation feature;
[0020] The motor current data of the winding motor is collected by the motor drive control module;
[0021] The motor current data of adjacent detection times is processed by difference, and the motor current data of the latter detection time is subtracted from the motor current data of the former detection time to obtain the current deviation value;
[0022] The product of the speed deviation feature and the current deviation value at the same detection time is taken as the same direction judgment value.
[0023] In a preferred embodiment, in step S2, the homodromous determination values of each detection moment are statistically analyzed, and the total number of times when the homodromous determination value is greater than 0 is taken as the homodromous change number;
[0024] The ratio result of the homodromous change number and the total number of current deviation values is taken as the homodromous change proportion;
[0025] If the homodromous change proportion is greater than a preset homodromous change proportion threshold, it is predicted that the tension change state is a change state;
[0026] On the contrary, it is predicted that the tension change state is a stable state;
[0027] When the predicted tension change state is a change state, enter the tension correction stage.
[0028] In a preferred embodiment, in step S3, when entering the tension correction stage, the tension data of the current winding section is obtained by collecting the force value of the film in the winding process through the tension sensor arranged at the tension detection position of the winding section;
[0029] The actual travel position of the floating roller is detected by the displacement sensor installed on the floating roller support mechanism;
[0030] The travel allowance of the floating roller is calculated by combining the actual travel position of the floating roller with the preset maximum movable travel of the floating roller.
[0031] In a preferred embodiment, in step S3, the normalized result of the travel allowance is taken as the floating roller balance state;
[0032] The tension data collected by the tension sensor and the floating roller balance state are fused to generate a speed correction factor, and the specific fusion formula is represented as:
[0033] ;
[0034] Wherein, is the speed correction factor, is a preset basic correction coefficient, is the tension data, is a reference tension value, is the floating roller balance state, is an exponential function.
[0035] In a preferred embodiment, in step S4, the product of the speed correction factor and the linear speed of the rear drive roller is taken as the adjusted linear speed of the rear drive roller, so as to adjust the linear speed of the rear drive roller;
[0036] The laser thickness gauge is used to detect the coating thickness of the film surface of the winding section.
[0037] The thickness fluctuation coefficient is obtained according to the relative standard deviation of the coating thickness of the winding section surface.
[0038] In a preferred embodiment, in step S4, the thickness fluctuation coefficient is compared with a preset thickness fluctuation threshold value to determine whether to re-enter the tension prediction mechanism:
[0039] When the thickness fluctuation coefficient is less than or equal to the preset thickness fluctuation threshold value, it is not necessary to re-enter the tension prediction mechanism;
[0040] When the thickness fluctuation coefficient is greater than the preset thickness fluctuation threshold value, it is necessary to re-enter the tension prediction mechanism.
[0041] Technical effects and advantages of the present application:
[0042] The present application collects the winding diameter data of the rear driving roller in the winding stage, calculates the winding diameter growth rate and determines whether to enter the tension prediction mechanism. When entering the tension prediction mechanism, the line speeds of the front and rear driving rollers and the winding motor current are detected, the speed deviation feature and the same direction judgment value are calculated to predict the tension change state and determine whether to enter the tension correction stage. In the tension correction stage, the tension data and the floating roller stroke data of the current winding section are collected, the speed correction factor is generated by fusion, the rear driving roller line speed is adjusted according to the speed correction factor, and the coating thickness is monitored by the laser thickness gauge. The thickness fluctuation coefficient is calculated to determine whether to re-enter the tension prediction mechanism, realizing dynamic prediction and real-time correction of the tension change in the rubber coating film winding process, effectively suppressing the thickness fluctuation, improving the coating uniformity and production stability. BRIEF DESCRIPTION OF DRAWINGS
[0043] Fig. 1 The present application is a flow chart for realizing the rubber coating tension closed-loop control method combined with tension and speed feedback.
[0044] Fig. 2 The present application is a step schematic diagram for the rubber coating tension closed-loop control method combined with tension and speed feedback. DETAILED DESCRIPTION
[0045] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not 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.
[0046] This invention collects the roll diameter data of the rear drive roller during the winding stage, calculates the roll diameter growth rate, and determines whether to enter the tension prediction mechanism. When the tension prediction mechanism is entered, the linear speeds of the front and rear drive rollers and the current of the winding motor are detected. The speed deviation characteristics and the same direction determination value are calculated to predict the tension change state and determine whether to enter the tension correction stage. In the tension correction stage, the tension data of the current winding segment and the travel data of the floating roller are collected and fused to generate a speed correction factor. The linear speed of the rear drive roller is adjusted according to the speed correction factor, and the coating thickness is monitored by a laser thickness gauge. The thickness fluctuation coefficient is calculated to determine whether to re-enter the tension prediction mechanism. This invention achieves dynamic prediction and real-time correction of tension changes during the winding process of coated films, effectively suppressing thickness fluctuations.
[0047] Example 1, such as Figs. 1-2 As shown, the closed-loop control method for adhesive application tension, which combines tension and speed feedback, includes the following steps:
[0048] Step S1: When the glue coating production line is in the winding stage, set the detection time, collect the roll diameter data of the drive roller, calculate the roll diameter growth rate based on the roll diameter data, and use the roll diameter growth rate to determine whether to enter the tension prediction mechanism.
[0049] Step S2: When entering the tension prediction mechanism, detect the linear speed of the front and rear drive rollers and evaluate the speed deviation characteristics, collect the motor current data of the winding motor, combine the speed deviation characteristics to predict the tension change state and determine whether to enter the tension correction stage.
[0050] Step S3: When entering the tension correction stage, the tension data of the current winding section is collected by the tension sensor, the stroke margin of the floating roller is detected and the balance state of the floating roller is analyzed. The tension data is then fused with the balance state of the floating roller to generate a speed correction factor.
[0051] Step S4: Adjust the linear speed of the rear drive roller using the speed correction factor. After adjustment, monitor the coating thickness on the surface of the winding section. Evaluate the thickness fluctuation coefficient based on the monitoring results and determine whether to re-enter the tension prediction mechanism.
[0052] The specific implementation is as follows:
[0053] In step S1, during the winding process of the coated film, the front drive roller is used for feeding and the rear drive roller is used for winding. The difference in linear speed between the two rollers determines the tension of the coated film. When the roll diameter continues to increase, the increase in roll diameter will cause the linear speed of the rear drive roller to rise accordingly, forming a speed deviation with the front drive roller, resulting in increased tension and causing uneven coating thickness or surface defects.
[0054] In this embodiment, by analyzing the roll diameter growth rate and predicting the tension change state, the speed of the rear drive roller is dynamically corrected based on the prediction results, so that the film tension is kept within a stable range.
[0055] When the coating production line is in the winding stage, the preset detection time is divided into multiple detection moments. The winding radius value of the coating film on the drive roller is collected by the roll diameter sensor and used as the roll diameter data.
[0056] The roll diameter data at each detection time is combined into a roll diameter data sequence in chronological order. The roll diameter data sequence is then substituted into the least squares method to perform linear fitting between the roll diameter data and the corresponding detection time, and the fitting slope is output as the roll diameter growth rate.
[0057] The roll diameter growth rate reflects the average trend of roll diameter change over time. The larger the roll diameter growth rate, the faster the roll diameter increases.
[0058] The roll diameter growth rate is compared with a preset growth rate threshold to determine whether to initiate the tension prediction mechanism.
[0059] If the roll diameter growth rate is greater than the preset growth rate threshold, the tension prediction mechanism will be activated.
[0060] Conversely, it is determined that the tension prediction mechanism will not be entered;
[0061] When the roll diameter growth rate exceeds the preset growth rate threshold, it indicates that there may be a speed mismatch between the take-up section and the front drive roller, which will cause the tension to increase. Further analysis of the tension change trend will then be performed using the tension prediction mechanism.
[0062] It should be explained that the preset detection time is the length of the time window set for monitoring the change in roll diameter, which can be determined according to the linear speed of the production line and the tension response cycle; the roll diameter sensor refers to the detection device used to collect the roll diameter of the rear drive roller in real time, and obtains the roll diameter data by non-contact measurement of the outer diameter of the roll surface at the winding end; the least squares method is a statistical fitting algorithm. In this embodiment, the optimal linear relationship between roll diameter and time is obtained by minimizing the sum of squared errors between the roll diameter data and the fitted curve; the preset growth rate threshold can be set according to the material characteristics and tension stability range of different products. For example, when the detected roll diameter growth rate exceeds 1.2 to 1.5 times the historical average value under normal working conditions, the roll diameter growth rate can be used as the preset growth rate threshold.
[0063] In step S2, when the tension prediction mechanism is entered, the sampling period is preset and divided into multiple sampling times. The speed data of the front and rear drive rollers are collected by encoders installed on the front and rear drive rollers. The speed data refers to the number of rotations of the drive rollers per unit time.
[0064] The product of the rotational speed data of the front drive roller and the corresponding roller radius is taken as the linear velocity of the front drive roller, and the product of the rotational speed data of the rear drive roller and the corresponding roller radius is taken as the linear velocity of the rear drive roller.
[0065] The difference between the linear velocity of the rear drive roller and the linear velocity of the front drive roller is used as the speed deviation characteristic.
[0066] When the speed deviation characteristic is greater than 0, it indicates that the linear speed of the rear drive roller is higher than that of the front drive roller, the coating film is in a stretched state, and the tension tends to increase; when the speed deviation characteristic is less than 0, the coating film is in a relaxed or wrinkled state, and the tension tends to decrease.
[0067] The motor current data of the winding motor is collected by the motor drive control module. The motor current data reflects the load change characteristics of the winding motor. When the tension of the adhesive film increases, the output torque of the winding motor increases accordingly, and the motor current data increases; when the tension of the adhesive film decreases, the motor load decreases, and the motor current data decreases.
[0068] The motor current data at adjacent detection times are subtracted, and the motor current data at the next detection time is subtracted from the motor current data at the previous detection time to obtain the current deviation value.
[0069] The product of the velocity deviation characteristic and the current deviation value at the same detection time is used as the same directionality determination value.
[0070] When the same direction determination value is greater than 0, it indicates that the speed deviation characteristic and the current deviation value change in the same direction, the motion output of the drive system and the load response are in a state of synchronous change, and the tension of the adhesive film changes; when the same direction determination value is 0 or less than 0, it indicates that the change of the adhesive film tension is not obvious or tends to be stable.
[0071] Statistical analysis was performed on the same-direction determination values at each detection time, and the total number of times the same-direction determination value was greater than 0 was taken as the number of same-direction changes.
[0072] The ratio of the number of times the current changes in the same direction to the total number of current deviation values is taken as the proportion of the changes in the same direction.
[0073] By comparing the proportion of change in the same direction with a preset threshold for the proportion of change in the same direction, the tension change state is predicted:
[0074] If the proportion of change in the same direction is greater than the preset threshold for the proportion of change in the same direction, then the predicted tension change state is a changed state.
[0075] Conversely, the predicted tension change state is a steady state;
[0076] When the predicted tension change state is a changing state, the tension correction stage begins.
[0077] It should be explained that an encoder is an electrical signal conversion device used to detect the angular displacement or rotational speed of a rotating element. In this example, the rotational speed data of the drive roller is calculated by the output pulse frequency. The motor drive control module refers to the control unit used to drive, control, and acquire data of the winding motor. In this embodiment, it is used to acquire motor current data. The preset same-direction change ratio threshold can be set according to the process stability target tension control accuracy of different production lines. For example, the preset same-direction change ratio threshold can be obtained by analyzing the average value and standard deviation of the same-direction change ratio under historical normal working conditions.
[0078] In step S3, when entering the tension correction stage, the tension sensor set at the tension detection position of the winding section collects the stress state of the film during the winding process. The tension sensor is installed at the guide roller position in the winding path of the film. When the film is stretched, it generates an electrical signal proportional to the tension. After converting the electrical signal, the tension data of the current winding section is obtained. The tension data reflects the actual tensile force borne by the film in the current winding section.
[0079] It should be noted that a tension sensor is a measuring device used to detect the tensile force on a stretched material (such as film, paper, metal foil, fabric, etc.) during movement, converting the mechanical tension signal of the material into a quantifiable electrical signal.
[0080] The actual stroke position of the floating roller is detected by a displacement sensor installed on the floating roller support mechanism. Combined with the preset maximum movable stroke of the floating roller, the stroke margin of the floating roller is calculated. The calculation formula is as follows:
[0081] ;
[0082] in, This is the stroke margin for the floating roller. This is the preset maximum movable stroke of the floating roller. This represents the actual stroke position of the floating roller.
[0083] The stroke margin indicates the remaining travel distance that the floating roller can continue to move. The larger the stroke margin, the more relaxed the floating roller is, and the stronger its tension buffering capacity. Conversely, the smaller the stroke margin, the more the floating roller is close to its limit position, and the insufficient tension adjustment space requires timely speed correction.
[0084] It should be noted that a displacement sensor is a measuring device used to detect changes in displacement, stroke, or angle of a measured object in space. The maximum movable stroke of the floating roller is a fixed parameter determined during the equipment design and mechanical installation stage based on the mechanical limit position of the floating roller structure. It is set according to the geometric design dimensions of the floating roller support mechanism and the maximum allowable range of motion of its guiding mechanism (such as slide rail, connecting rod, or swing arm). Specifically, the difference in displacement between the floating roller and the upper and lower mechanical stop positions is taken as the maximum movable stroke.
[0085] The balance state of the floating roller is calculated based on the stroke margin to describe the degree to which the floating roller is in a mechanically stable position. Specifically, the normalized result of the stroke margin is taken as the balance state of the floating roller, and its expression is as follows:
[0086] ;
[0087] in, The floating roller is in a balanced state. This is the stroke margin for the floating roller. This is the preset maximum movable stroke of the floating roller.
[0088] The balance state of the floating roller ranges from [0,1]. When the value is close to 1, it indicates that the floating roller is more relaxed; when... When the value is close to 0, it indicates that the floating roller is closer to the lower limit of its stroke, i.e., it is in a high-tension state.
[0089] The tension data collected by the tension sensor is fused with the balance state of the floating roller to generate a speed correction factor. The specific fusion formula is as follows:
[0090] ;
[0091] in, For speed correction factor, Basic correction factor, For tension data, For reference tension value, The floating roller is in a balanced state. It is an exponential function.
[0092] It should be noted that the basic correction coefficient was obtained from experimental data during the equipment commissioning phase. During the commissioning process, the film in the winding section was operated under standard process conditions, and the response curve of the drive roller linear speed to tension changes was recorded. The maximum speed change value that made the speed correction range within the allowable range of tension fluctuation was selected as the benchmark, and this value was normalized to determine the basic correction coefficient. The reference tension value was obtained by measuring the winding tension under standard process conditions. It is the average value of the film tension in the winding section and is used to normalize the tension data.
[0093] When the tension data is larger and the floating roller balance is smaller, that is, when the tension is high and the floating roller margin is insufficient, the speed correction factor value is lower, thereby reducing the subsequent speed correction amplitude and preventing the tension from increasing further; when the tension data is smaller and the floating roller balance is larger, that is, when the tension is low and the floating roller margin is sufficient, the speed correction factor value is higher, increasing the speed adjustment force of the subsequent drive roller to maintain tension stability.
[0094] In step S4, the linear velocity of the rear drive roller is adjusted using a speed correction factor, the specific expression of which is as follows:
[0095] ;
[0096] in, The adjusted linear speed of the rear drive roller. The linear speed of the rear drive roller before adjustment. This is the speed correction factor.
[0097] After adjusting the linear speed of the rear drive roller, a laser thickness gauge is used to detect the coating thickness on the surface of the film in the winding section. The laser thickness gauge emits a laser beam to irradiate the film surface and receives the reflection signal of the laser from the film surface. The coating thickness is calculated based on the difference in reflection displacement between the coating and the film substrate. The film continuously passes through the detection area of the laser thickness gauge during the winding process, and multiple sampling points are measured in real time along the winding width and length directions to obtain the distribution data of the coating thickness of the film in the winding section.
[0098] It should be noted that a laser thickness gauge is a precision measuring device that uses a laser beam to measure the thickness of a material surface or coating. It emits a laser beam to irradiate the surface of the object being measured, receives the reflected or scattered laser signals, and calculates the thickness of the material or coating based on the beam propagation time and reflection displacement.
[0099] The thickness fluctuation coefficient is obtained by calculating the relative standard deviation of the coating thickness on the surface of the coiled section, as shown in the following expression:
[0100] ;
[0101] in, Here, N is the thickness fluctuation coefficient, and N is the total number of thickness sampling points. The coating thickness measured at the i-th sampling point. Let be the average coating thickness of N sampling points, and i be the index value of the sampling point.
[0102] The thickness fluctuation coefficient reflects the uniformity of the coating thickness on the surface of the film in the winding section and the stability of the winding tension. The larger the value, the greater the fluctuation of the coating thickness, the more uneven the coating distribution, and the existence of abnormal tension or insufficient winding adjustment. The smaller the value, the more uniform the coating thickness distribution, the more stable the tension control, and the better the film quality during the winding process.
[0103] The thickness fluctuation coefficient is compared with the preset thickness fluctuation threshold to determine whether to re-enter the tension prediction mechanism.
[0104] When the thickness fluctuation coefficient is less than or equal to the preset thickness fluctuation threshold, it indicates that the thickness distribution of the thin film coating in the winding section is uniform and the winding tension is in a stable state, so there is no need to re-enter the tension prediction mechanism.
[0105] When the thickness fluctuation coefficient is greater than the preset thickness fluctuation threshold, it indicates that there is a significant fluctuation in the thickness of the film coating in the winding section, indicating abnormal tension or insufficient speed adjustment. It is necessary to re-enter the tension prediction mechanism to ensure the coating uniformity and tension stability of the film in the winding section.
[0106] It should be noted that the thickness fluctuation threshold is a preset limit value used to judge the uniformity of film coating thickness and the stability of winding tension during the coating and winding production process. During the equipment debugging stage, the film production line of the winding section is run multiple times under standard process conditions. A certain number of coating thickness sampling points are measured using a laser thickness gauge, the corresponding thickness fluctuation coefficient is calculated and its average value is statistically analyzed. Based on the process's quality requirements for coating uniformity and the acceptable tension fluctuation range, the average value is set as the thickness fluctuation threshold.
[0107] Finally, it should be noted that in this paper, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.
[0108] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0109] In this document, the singular forms “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that terms such as “comprising / including” or “having” specify the presence of the stated features, integrals, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, integrals, steps, operations, components, parts, or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.
[0110] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.
[0111] The above description of the disclosed embodiments will enable those skilled in the art to make or use various modifications to these embodiments. It will be readily apparent to those skilled in the art that the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A glue application tension closed loop control method incorporating tension and speed feedback, characterized by: The method comprises the following steps: Step S1: When the coating production line is in the winding stage, set the detection time, collect the winding diameter data of the rear drive roller, calculate the winding diameter growth rate according to the winding diameter data, and judge whether to enter the tension prediction mechanism by using the winding diameter growth rate; Step S2: When entering the tension prediction mechanism, detect the line speeds of the front and rear drive rollers and evaluate the speed deviation characteristics, collect the motor current data of the winding motor, predict the tension change state in combination with the speed deviation characteristics, and judge whether to enter the tension correction stage; In step S2, when entering the tension prediction mechanism, a preset sampling period is divided into a plurality of sampling time points, and the rotational speed data of the front and rear drive rollers are collected through the encoders arranged on the front and rear drive rollers; The product of the rotational speed data of the front drive roller and the corresponding roller radius is taken as the line speed of the front drive roller, and the product of the rotational speed data of the rear drive roller and the corresponding roller radius is taken as the line speed of the rear drive roller; In step S2, the difference between the line speed of the rear drive roller and the line speed of the front drive roller is taken as the speed deviation characteristic; The motor current data of the winding motor is collected through the motor drive control module; The motor current data of adjacent detection time points is processed by difference, and the motor current data of the latter detection time point is subtracted from the motor current data of the former detection time point to obtain the current deviation value; The product of the speed deviation characteristic and the current deviation value at the same detection time point is taken as the same direction judgment value; In step S2, the same direction judgment values at each detection time point are statistically analyzed, and the total number of same direction judgment values greater than 0 is taken as the same direction change number; The ratio of the same direction change number to the total number of current deviation values is taken as the same direction change proportion; If the same direction change proportion is greater than the preset same direction change proportion threshold, the tension change state is predicted to be the change state; On the contrary, the tension change state is predicted to be the stable state; When the predicted tension change state is the change state, the tension correction stage is entered; Step S3: When entering the tension correction stage, the tension data of the current winding section is collected through the tension sensor, the travel allowance of the floating roller is detected, and the floating roller balance state is analyzed, the speed correction factor is generated by fusing the tension data and the floating roller balance state; Step S4: The line speed of the rear drive roller is adjusted by using the speed correction factor, the coating thickness of the winding section surface is monitored after the adjustment, the thickness fluctuation coefficient is evaluated according to the monitoring result, and it is judged whether to enter the tension prediction mechanism again.
2. The coating tension closed-loop control method combining tension and speed feedback according to claim 1, wherein: In step S1, when the coating production line is in the winding stage, a preset detection time is divided into a plurality of detection time points, the winding radius value of the coating film on the rear drive roller is collected through the winding radius sensor, and the winding radius value is taken as the winding diameter data; The winding diameter data at each detection time point is combined in time sequence to form a winding diameter data sequence; The winding diameter data sequence is substituted into the least square method to linearly fit the winding diameter data and the corresponding detection time, and the fitting slope is output as the winding diameter growth rate; If the winding diameter growth rate is greater than the preset growth rate threshold, it is judged to enter the tension prediction mechanism; Conversely, it is determined that the tension prediction mechanism is not entered.
3. The glue coating tension closed-loop control method with tension and speed feedback according to claim 1, wherein: In step S3, when entering the tension correction stage, the tension data of the winding section is collected by the tension sensor arranged at the tension detection position of the winding section to obtain the force value of the film during winding; The actual stroke position of the floating roller is detected by the displacement sensor installed on the floating roller support mechanism; The stroke allowance of the floating roller is calculated by combining the actual stroke position of the floating roller with the maximum movable stroke of the floating roller.
4. The glue coating tension closed-loop control method with tension and speed feedback according to claim 3, wherein: In step S3, the normalized result of the stroke allowance is taken as the floating roller balance state; The tension data collected by the tension sensor and the floating roller balance state are fused to generate a speed correction factor, and the specific fusion formula is: ; wherein, is a speed correction factor, is a preset base correction coefficient, is tension data, is a reference tension value, is a floating roller equilibrium state, is an exponential function.
5. The glue coating tension closed-loop control method with tension and speed feedback according to claim 1, wherein: In step S4, the product of the speed correction factor and the linear speed of the rear drive roller is taken as the adjusted linear speed of the rear drive roller to adjust the linear speed of the rear drive roller; The coating thickness of the film surface of the winding section is detected by the laser thickness gauge; The thickness fluctuation coefficient is obtained by calculating the relative standard deviation according to the coating thickness of the winding section surface.
6. The glue coating tension closed-loop control method with tension and speed feedback according to claim 5, wherein: In step S4, the thickness fluctuation coefficient is compared with the preset thickness fluctuation threshold to determine whether to enter the tension prediction mechanism again: When the thickness fluctuation coefficient is less than or equal to the preset thickness fluctuation threshold, it is not necessary to enter the tension prediction mechanism again; When the thickness fluctuation coefficient is greater than the preset thickness fluctuation threshold, it is necessary to enter the tension prediction mechanism again.
Citation Information
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