CN118011780A - Control method and system of lithium battery roll slitting machine based on PID - Google Patents
Control method and system of lithium battery roll slitting machine based on PID Download PDFInfo
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Abstract
The invention provides a control method and a control system of a lithium battery roll slitting machine based on PID, which belong to the technical field of PID control, and the method comprises the steps of setting target parameters of the lithium battery roll slitting machine, collecting key parameters in the slitting process, differencing the target parameters and the key parameters, drawing a difference image and identifying an unstable factor; defining a control target of the lithium battery roll slitting machine, and selecting initial parameters of a controller PID from a parameter database by using an ant algorithm based on the control target and an instability factor; defining a heuristic function according to the system performance requirement, evaluating the quality degree of each group of initial parameters, and determining the optimal group as the use parameter of the PID; based on the use parameter setting control experiment, the use parameters are dynamically optimized, a monitoring feedback system is established according to the optimizing result, the working state of the lithium battery roll slitting machine is adjusted in real time, the lithium battery roll slitting machine is ensured to run under the optimal parameters and reach the expected performance requirements, and the stable control and optimization of the technological process are realized.
Description
Technical Field
The invention relates to the technical field of PID control, in particular to a control method and a control system of a lithium battery roll slitting machine based on PID.
Background
With the advancement of industrial automation and intelligent manufacturing, various disturbance and working condition changes may be faced by the lithium battery roll slitting machine in the working process, the traditional PID controller is difficult to cope with such complex dynamic environment, and the requirement of lithium battery production on precision is extremely high, while the traditional PID controller sometimes cannot provide control precision meeting the production requirement, and particularly under the high precision or high speed requirement, the system performance is not stable enough or poor in adaptability.
Therefore, the invention provides a control method and a control system of a lithium battery roll slitting machine based on PID.
Disclosure of Invention
According to the control method and system for the lithium battery roll slitting machine based on PID, the target parameters of the machine are set, the key parameters are collected in the slitting process, the difference between the target parameters and the key parameters is solved, then a difference image is drawn, an unstable factor is identified from the image, a control target is definitely determined, an ant algorithm is used for combining the control target and the unstable factor, the optimal PID initial parameters are selected from a database, a heuristic function is defined according to the system performance requirement, the goodness of each set of initial parameters is evaluated through the heuristic function, the optimal set is selected as the use parameters of a PID controller, a control experiment is set according to the selected use parameters, the control parameters are continuously and finely adjusted through dynamic optimization of the control experiment result, so that the working state of the lithium battery roll slitting machine is adjusted in real time, finally a monitoring feedback system is established according to the optimization result, the lithium battery roll slitting machine is guaranteed to run under the optimal parameters and reach the expected performance requirement, and stable control and optimization of the technological process are achieved.
The invention provides a control method of a lithium battery roll slitting machine based on PID, which comprises the following steps:
Step 1: setting target parameters of a lithium battery roll slitting machine, collecting key parameters in the slitting process, differencing the target parameters and the key parameters, drawing a difference image, and identifying an instability factor from the difference image;
Step 2: defining a control target of the lithium battery roll slitting machine according to the target parameter, and selecting an initial parameter of a controller PID from a parameter database by using an ant algorithm based on the control target and the instability factor;
Step 3: defining a heuristic function according to the system performance requirement, evaluating the quality degree of each group of initial parameters, and determining the optimal group as the use parameter of the PID according to the evaluation result;
step 4: based on the use parameter setting control experiment, dynamically adjusting the use parameter according to the result of the control experiment, and establishing a monitoring feedback system according to the adjusting result to adjust the working state of the lithium battery roll slitting machine in real time.
The invention provides a control method of a lithium battery roll slitting machine based on PID, which is characterized by setting target parameters of the lithium battery roll slitting machine, collecting key parameters in the slitting process, differencing the target parameters and the key parameters, drawing a difference image, and comprising the following steps:
The method comprises the steps of determining the performance requirement of a lithium battery roll slitting machine, setting target parameters of the lithium battery roll slitting machine according to the performance requirement, and collecting key parameters corresponding to the target parameters in real time;
drawing a difference histogram according to the difference value between the key parameter and the target parameter at the same time point, analyzing the difference histogram, determining and marking an unstable interval of fluctuation abnormality on the difference histogram;
the column change trend of the unstable section before and after the corresponding time period in the difference histogram is defined as a deviation change condition, and a region with the deviation change condition larger than a set range is taken as a first fluctuation region;
Cross comparison analysis of different time periods is carried out on the data in the first fluctuation area, and the first fluctuation area is subjected to first adjustment in combination with other related parameter change conditions;
and carrying out second adjustment on the first fluctuation area after the first adjustment according to the fluctuation frequency of the deviation in the first fluctuation area, and redrawing a difference image according to the difference value between the new key parameter and the target parameter after the second adjustment.
The invention provides a control method of a lithium battery roll slitting machine based on PID, which identifies unstable factors from difference images, and comprises the following steps:
determining fluctuation features based on the difference images, analyzing the duration time period of each fluctuation feature, carrying out fluctuation comparison on the fluctuation interval and the fluctuation interval corresponding to the first fluctuation area, and determining the parameter fluctuation condition of the lithium battery roll slitting machine;
analyzing whether the parameter fluctuation conditions are consistent under different fluctuation characteristics, and further determining the correlation between the fluctuation characteristics and the parameter fluctuation;
From the correlation, an instability factor that leads to a control process is determined.
The invention provides a control method of a lithium battery roll slitting machine based on PID, which is characterized in that a control target of the lithium battery roll slitting machine is defined according to the target parameter, and an ant algorithm is applied to select initial parameters of PID from a parameter database based on the control target and the instability factor, and the control method comprises the following steps:
Determining a control target affecting the performance of the lithium battery roll slitting machine according to the performance requirement of the lithium battery roll slitting machine, defining a possible range of a PID parameter set by using the control target, and creating a parameter database containing PID parameters based on the possible range;
And selecting a plurality of groups of PID parameters of the lithium battery roll slitting machine from the parameter database by combining an ant algorithm and an instability factor, and performing association screening on the plurality of groups of PID parameters according to a control target to determine the initial parameters of the PID.
The invention provides a control method of a lithium battery roll slitting machine based on PID, which defines a heuristic function according to the system performance requirement, evaluates the quality degree of each group of initial parameters, determines the optimal group as the use parameter of the PID according to the evaluation result, and comprises the following steps:
inputting each group of initial parameters into a controller to test the performance of the lithium battery roll slitting machine, and collecting error signals and system response;
Determining the weight coefficient of each operation data and the related function according to the system performance requirement, and combining an error signal and a system response to construct a heuristic function:
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Wherein, A heuristic function of a controller of the lithium battery roll slitting machine is represented; /(I)A state vector representing the controller; t is a sampling time variable, the value is 1,2,3,; /(I)The actual output value of the motor is controlled by the controller to reach a stable state; /(I)The method comprises the steps that a controller controls a motor to reach an expected output value in a stable state; /(I)Representing an accuracy function after the controller controls the motor to reach a stable state; /(I)Representing a supplemental function; /(I)An overshoot function representing an overshoot from the start of the motor response controlled by the controller to the motor response exceeding a desired value; /(I)A time function representing a time from when the controller controls the motor reaction to when the motor output reaches the target value for the first time; /(I)A time function representing the controller controlling the motor output to reach and remain near a desired value; /(I)、/>、/>、/>、/>The weight coefficient representing the corresponding function; representing the intensity of the response of the controller output to the current error; /(I) Indicating the response intensity of the controller output to the error accumulation value; representing the intensity of the response of the controller output to the rate of change of the error;
And carrying out quality evaluation on the initial parameters of each group of PID according to the heuristic function, and determining the using parameters.
The invention provides a control method of a lithium battery roll slitting machine based on PID, which is based on the use parameter setting control experiment, dynamically adjusts the use parameter according to the result of the control experiment, and comprises the following steps:
designing a control experiment according to the working state of the lithium battery roll slitting machine, and setting an optimal control effect;
Operating the lithium battery roll slitting machine under the use parameters, collecting performance data, analyzing the performance data, and carrying out performance evaluation on the lithium battery roll slitting machine by combining a difference image;
adjusting the use parameters according to the evaluation result, controlling the lithium battery roll slitting machine to perform a secondary experiment according to the adjusted parameters, and judging whether the performance difference exists in the control experiment results of the use parameters before and after adjustment;
if the performance difference exists, the adjusted use parameters are proved to be effective, the adjusted use parameters are effectively marked, otherwise, the adjustment process is marked invalid, and the adjustment is not used;
Meanwhile, judging whether the effective parameters are effective or not according to the performance difference;
If yes, executing the experimental step again according to the positive effective parameters, and optimizing the corresponding positive effective parameters after each execution is completed;
After repeated execution of the experimental steps for a plurality of times, when the control performance of the equipment meets the optimal control effect, determining that the use parameters are optimized to the optimal state, and finishing the tuning.
The invention provides a control method of a lithium battery roll slitting machine based on PID, which establishes a monitoring feedback system according to a tuning result to adjust the working state of the lithium battery roll slitting machine in real time, and comprises the following steps:
determining performance tuning indexes needing to be monitored in real time, and selecting key parameters of a corresponding sensor for continuously monitoring the lithium battery roll slitting machine;
Based on the tuning result and the performance tuning index, designing a feedback control loop by using PID control, and setting a performance index range;
combining the tuning result and the performance index range to establish a monitoring system;
The monitoring system calculates corresponding control operation based on the collected real-time data, a control command is sent to a control unit of the lithium battery roll slitting machine through a control algorithm of the monitoring system, positive effective parameters are continuously calculated and adjusted through the real-time data, a monitoring feedback loop is formed, and finally the monitoring feedback system is formed;
and carrying out fault evaluation on the controller according to the number of the positive effective marks, the negative effective marks and the ineffective marks in the optimization process, designing an abnormality detection and processing mechanism based on a fault evaluation result, detecting that the abnormality and the performance index deviate from the preset range, and alarming the corresponding condition.
The invention provides a control system of a lithium battery roll slitting machine based on PID, which comprises:
and an image drawing module: setting target parameters of a lithium battery roll slitting machine, collecting key parameters in the slitting process, differencing the target parameters and the key parameters, drawing a difference image, and identifying an instability factor from the difference image;
An initial parameter module: defining a control target of the lithium battery roll slitting machine according to the target parameter, and selecting an initial parameter of PID from a parameter database by using an ant algorithm based on the control target and the instability factor;
the parameter module is used: defining a heuristic function according to the difference image and the system performance requirement, evaluating the quality degree of each group of initial parameters, and determining an optimal group as a PID (proportion integration differentiation) using parameter according to an evaluation result;
And (3) a tuning module: based on the use parameter setting control experiment, dynamically adjusting the use parameter according to the result of the control experiment, and establishing a monitoring feedback system according to the adjusting result to adjust the working state of the lithium battery roll slitting machine in real time.
Compared with the prior art, the application has the following beneficial effects: the method comprises the steps of setting target parameters of a machine, collecting key parameters in a slitting process, solving the difference between the target parameters and the key parameters, drawing a difference image, identifying an unstable factor from the image, definitely controlling the target, selecting optimal PID initial parameters from a database by combining an ant algorithm with the control target and the unstable factor, defining a heuristic function according to system performance requirements, evaluating the quality degree of each group of initial parameters through the heuristic function, selecting the optimal group as a use parameter of a PID controller, setting a control experiment according to the selected use parameter, continuously fine-adjusting the control parameter by dynamically adjusting the control experiment result so as to adjust the working state of the lithium battery rolling slitting machine in real time, finally establishing a monitoring feedback system according to the adjustment result, ensuring that the lithium battery rolling slitting machine operates under the optimal parameters and achieves the expected performance requirements, and realizing stable control and optimization of the technological process.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic flow chart of a control method of a lithium battery roll slitting machine based on PID provided by an embodiment of the present invention;
Fig. 2 is a schematic structural diagram of a control system of a lithium battery roll slitting machine based on PID according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
the embodiment of the invention provides a control method of a lithium battery roll slitting machine based on PID, as shown in figure 1, comprising the following steps:
Step 1: setting target parameters of a lithium battery roll slitting machine, collecting key parameters in the slitting process, differencing the target parameters and the key parameters, drawing a difference image, and identifying an instability factor from the difference image;
Step 2: defining a control target of the lithium battery roll slitting machine according to the target parameter, and selecting an initial parameter of a controller PID from a parameter database by using an ant algorithm based on the control target and the instability factor;
Step 3: defining a heuristic function according to the system performance requirement, evaluating the quality degree of each group of initial parameters, and determining the optimal group as the use parameter of the PID according to the evaluation result;
step 4: based on the use parameter setting control experiment, dynamically adjusting the use parameter according to the result of the control experiment, and establishing a monitoring feedback system according to the adjusting result to adjust the working state of the lithium battery roll slitting machine in real time.
In this embodiment, the performance requirements include accuracy, consistency, production speed, etc. of the lithium battery roll slitting machine; the key parameters include roller pressure, slitting speed, roller temperature, etc.; the target parameters are consistent with parameters corresponding to the key parameters.
In this embodiment, the difference image is an image formed by calculating and visualizing the difference between the target parameter set by the lithium battery roll slitting machine and the actually collected key parameter, firstly setting the target parameter of the lithium battery roll slitting machine, then collecting the key real-time parameter in the working process of the device, subtracting the two sets of parameters to obtain the parameter difference value at each moment, arranging the difference values according to the time sequence, placing the difference values in a coordinate system of a vertical axis (usually the difference value) and a horizontal axis (usually the time), and drawing the change trend of the difference value along with the time.
In this embodiment, the instability factor refers to various causes that may cause fluctuations in the production process, including, but not limited to, mechanical wear, external environmental disturbances (such as temperature and humidity variations), equipment aging, operator mishandling, raw material quality fluctuations, and the like.
In this embodiment, the control targets refer to performance indexes including accuracy, speed, stability, reliability and safety, which need to be achieved in the operation process of the lithium battery roll slitting machine.
In the embodiment, the process of selecting the initial parameters is to determine a control target affecting the performance of the equipment through the performance requirement of the lithium battery roll slitting machine, define a possible range of PID parameters, select a plurality of groups of PID parameters from a parameter database by combining an ant algorithm and an unstable factor, screen the PID parameters to obtain the initial parameters, and find the optimal PID initial parameter setting by referring to an optimization algorithm-the ant algorithm of the ant colony behaviors in the nature.
In this embodiment, the process of evaluating the quality is to define a heuristic function to evaluate the quality of each set of initial parameters according to the system performance requirements, thereby determining the optimal PID control parameter combination.
In this embodiment, dynamic tuning is an iterative loop that aims to refine the controller parameters step by continually experimentation, evaluation and modification to achieve optimal performance of the control system.
In the embodiment, the monitoring feedback system is a dynamic and self-adjusting system, responds to various fluctuation of the lithium battery roll slitting machine in the production process in real time, keeps stability and high efficiency of the system, continuously calculates and adjusts positive effective parameters of the PID controller by using real-time data, ensures that the system can automatically adjust to return to a target state when deviating from a preset performance index, and forms a closed-loop monitoring feedback loop so as to maintain stable operation of equipment.
The working principle and the beneficial effects of the technical scheme are as follows: the method comprises the steps of setting target parameters of a machine, collecting key parameters in a slitting process, solving the difference between the target parameters and the key parameters, drawing a difference image, identifying an unstable factor from the image, definitely controlling the target, selecting optimal PID initial parameters from a database by combining an ant algorithm with the control target and the unstable factor, defining a heuristic function according to system performance requirements, evaluating the quality degree of each group of initial parameters through the heuristic function, selecting the optimal group as a use parameter of a PID controller, setting a control experiment according to the selected use parameter, continuously fine-adjusting the control parameter by dynamically adjusting the control experiment result so as to adjust the working state of the lithium battery rolling slitting machine in real time, finally establishing a monitoring feedback system according to the adjustment result, ensuring that the lithium battery rolling slitting machine operates under the optimal parameters and achieves the expected performance requirements, and realizing stable control and optimization of the technological process.
Example 2:
the embodiment of the invention provides a control method of a lithium battery roll slitting machine based on PID, which comprises the steps of setting target parameters of the lithium battery roll slitting machine, collecting key parameters in the slitting process, differencing the target parameters and the key parameters, and drawing a difference image, wherein the method comprises the following steps:
The method comprises the steps of determining the performance requirement of a lithium battery roll slitting machine, setting target parameters of the lithium battery roll slitting machine according to the performance requirement, and collecting key parameters corresponding to the target parameters in real time;
drawing a difference histogram according to the difference value between the key parameter and the target parameter at the same time point, analyzing the difference histogram, determining and marking an unstable interval of fluctuation abnormality on the difference histogram;
the column change trend of the unstable section before and after the corresponding time period in the difference histogram is defined as a deviation change condition, and a region with the deviation change condition larger than a set range is taken as a first fluctuation region;
Cross comparison analysis of different time periods is carried out on the data in the first fluctuation area, and the first fluctuation area is subjected to first adjustment in combination with other related parameter change conditions;
and carrying out second adjustment on the first fluctuation area after the first adjustment according to the fluctuation frequency of the deviation in the first fluctuation area, and redrawing a difference image according to the difference value between the new key parameter and the target parameter after the second adjustment.
In this embodiment, the difference histogram is a graph for visually showing the difference between the target parameter and the actual key parameter, and the x-axis represents the factors of the measurement time point or the production lot, and may be divided at time intervals (e.g., every minute, hour, etc.) or by the production lot number; the y-axis represents the value of the difference. The difference is the difference between the target parameter and the measured parameter; for example, if the target parameter is a thickness of 1.0mm, the measured value is 0.98mm, the difference is-0.02 mm; each bar represents a parameter difference for a point in time or production lot, the height of the bar represents the magnitude of the difference, and a color or pattern may be used to indicate whether the difference is positive or negative.
In this embodiment, the trend includes whether there is a sudden increase or a sudden decrease in the column, which may indicate that an abnormality has occurred; the direction (positive or negative bias) and magnitude of the cylinder change; whether the column change has continuity or not, whether a certain periodicity can be observed.
In this embodiment, the deviation change condition refers to the change size of the difference value of the unstable section from the average value or the normal value.
In this embodiment, the data in the first fluctuation zone is compared between different time periods or different production lots, e.g. comparing data of different production lots during the same time period, whether there is a similar trend or pattern.
In this embodiment, the first adjustment is to adjust production settings, such as changing roll pressure, roll temperature, slitting speed, etc., or to maintain and overhaul the equipment, the purpose of the adjustment being to attempt to eliminate factors that cause deviations in the first fluctuation zone.
In this embodiment, the second adjustment is to pay attention to the fluctuation frequency of the deviation after the first adjustment is performed, and if the fluctuation frequency of the deviation is too high, it may mean that the production process is still unstable, and the second adjustment is required.
The working principle and the beneficial effects of the technical scheme are as follows: by adjusting the unstable interval, controlling the key parameters in the production process and periodically monitoring and adjusting the key parameters of the machine, the problems on the equipment can be found and repaired in time, and the more efficient and stable production process is realized.
Example 3:
the embodiment of the invention provides a control method of a lithium battery roll slitting machine based on PID, which is used for identifying an unstable factor from a difference image and comprises the following steps:
determining fluctuation features based on the difference images, analyzing the duration time period of each fluctuation feature, carrying out fluctuation comparison on the fluctuation interval and the fluctuation interval corresponding to the first fluctuation area, and determining the parameter fluctuation condition of the lithium battery roll slitting machine;
analyzing whether the parameter fluctuation conditions are consistent under different fluctuation characteristics, and further determining the correlation between the fluctuation characteristics and the parameter fluctuation;
From the correlation, an instability factor that leads to a control process is determined.
In this embodiment, the fluctuation feature is a characteristic of the parameter variation with time, including the amplitude (range of parameter variation), period (time interval at which fluctuation is repeated), and duration (time length at which single fluctuation is continued) of the fluctuation, and the like.
In the embodiment, the first fluctuation area refers to an area with a deviation change condition larger than a set range in the drawn difference histogram, and is a part of an area which is abnormal in fluctuation and is identified as unstable on the histogram, and the area is represented as a series of difference columnar heights larger than a normal range on an image, so that the difference between a key parameter and a target parameter of the lithium battery roll slitting machine in the time period exceeds the normal fluctuation range; the fluctuation interval refers to an unstable or abnormal interval which is displayed by the time variation of the difference between the key parameter and the target parameter in the difference histogram, and can be one or more moments or a continuous period, the height of the difference histogram reflects the difference between the target parameter and the actual parameter, and when the fluctuation exceeds the performance requirement range set by the lithium battery roll slitting machine, the interval is regarded as the fluctuation interval.
In this embodiment, the fluctuation comparison is a process of matching and comparing the data of the current fluctuation interval with the history data of the first fluctuation region, and determining whether the current fluctuation coincides with the previous fluctuation pattern includes comparing the amplitude, frequency, period, and duration.
In this embodiment, the parameter fluctuation is how the critical parameters in the control process fluctuate over time, for example, in a roll slitting machine, the fluctuating parameters may include roll pressure, cutting speed, machine temperature, etc., and the fluctuation reflects whether these parameters are stable within the allowable range.
In this embodiment, the correlation determination process is to verify possible correlations based on the consistency of the fluctuation features with the parameter fluctuation and the solution of the successfully processed problem in the history data, and to quantify the correlations using statistical analysis methods such as correlation coefficient calculation, regression analysis, etc., for example, if a specific fluctuation feature is always accompanied by a deviation of the product size, it can be said that the fluctuation feature and the deviation of the product size have a high correlation.
In this embodiment, the process of determining the instability factor is to perform an attribution analysis on the root cause of the parameter fluctuation based on the confirmed correlation, and identify the instability factor that may cause fluctuation in the control process.
The working principle and the beneficial effects of the technical scheme are as follows: and determining fluctuation characteristics based on the difference images, analyzing the duration time period of each fluctuation characteristic, and comparing the current fluctuation interval with a known first fluctuation area to examine whether parameters keep consistent fluctuation under different fluctuation characteristics, deducing possible factors causing unstable control process, thereby being beneficial to reducing unplanned downtime in equipment operation, maintaining continuity of production strokes and improving overall efficiency.
Example 4:
the embodiment of the invention provides a control method of a lithium battery roll slitting machine based on PID, which is characterized in that a control target of the lithium battery roll slitting machine is defined according to the target parameter, and an ant algorithm is applied to select initial parameters of the PID from a parameter database based on the control target and the instability factor, and the control method comprises the following steps:
Determining a control target affecting the performance of the lithium battery roll slitting machine according to the performance requirement of the lithium battery roll slitting machine, defining a possible range of a PID parameter set by using the control target, and creating a parameter database containing PID parameters based on the possible range;
And selecting a plurality of groups of PID parameters of the lithium battery roll slitting machine from the parameter database by combining an ant algorithm and an instability factor, and performing association screening on the plurality of groups of PID parameters according to a control target to determine the initial parameters of the PID.
In this embodiment, the possible range is a range in which the parameter should be predicted using a mathematical model after setting the target, and the possible range is represented mainly as an upper limit and a lower limit of each PID parameter value in the parameter database, for example: the possible range may be defined as a range such as [0.2, 5.0] for proportional gain, as a range such as [0.01, 0.5] for integral gain, and as a range such as [0.1, 2.0] for differential gain.
In this embodiment, the parameter database includes parameter combinations, performance indexes, and adjustment records of corresponding parameters; the PID parameters are three numerical values of proportion P, integral I and derivative D for setting the behavior of the control system; the PID parameter set is a set of overall parameters that are combined from the individual PID parameters P, I, D.
In this embodiment, the ant algorithm is an optimization algorithm, which simulates the behavior of ant population searching food to find the best solution in the parameter space, and can be used to search and identify PID parameter sets from the parameter database that make the system exhibit the best performance in the face of specific instability factors, by exploring different combinations of PID parameters, evaluate their adaptability to reduce instability, and finally determine an initial parameter set that meets the preset control objective, the instability factors act as evaluation criteria in this process, help to screen the parameter set that adapts to the instability of the system, and when the control parameters are searched and optimized using the optimization method such as the ant algorithm, the algorithm will select and combine the parameter values within the defined possible range.
In this embodiment, the correlation filtering is to filter the collected PID parameter combinations, such as to reject those parameter combinations that cause unstable system performance.
The working principle and the beneficial effects of the technical scheme are as follows: the control target affecting the performance of the equipment is determined according to the performance requirement of the lithium battery roll slitting machine, the possible range of PID parameters is defined, a plurality of groups of PID parameters are selected from a parameter database by combining an ant algorithm and an instability factor, the PID parameters are screened to obtain initial parameters, the performance of a medium control system is improved, the system response is faster and more accurate, overshoot and oscillation are reduced, and the system stability is improved.
Example 5:
The embodiment of the invention provides a control method of a lithium battery roll slitting machine based on PID, which defines a heuristic function according to the system performance requirement, evaluates the quality degree of each group of initial parameters, determines an optimal group as a use parameter of the PID according to an evaluation result, and comprises the following steps:
inputting each group of initial parameters into a controller to test the performance of the lithium battery roll slitting machine, and collecting error signals and system response;
Determining the weight coefficient of each operation data and the related function according to the system performance requirement, and combining an error signal and a system response to construct a heuristic function:
；
；
；
Wherein, A heuristic function of a controller of the lithium battery roll slitting machine is represented; /(I)A state vector representing the controller; t is a sampling time variable, the value is 1,2,3,; /(I)The actual output value of the motor is controlled by the controller to reach a stable state; /(I)The method comprises the steps that a controller controls a motor to reach an expected output value in a stable state; /(I)Representing an accuracy function after the controller controls the motor to reach a stable state; /(I)Representing a supplemental function; /(I)An overshoot function representing an overshoot from the start of the motor response controlled by the controller to the motor response exceeding a desired value; /(I)A time function representing a time from when the controller controls the motor reaction to when the motor output reaches the target value for the first time; /(I)A time function representing the controller controlling the motor output to reach and remain near a desired value; /(I)、/>、/>、/>、/>The weight coefficient representing the corresponding function; representing the intensity of the response of the controller output to the current error; /(I) Indicating the response intensity of the controller output to the error accumulation value; representing the intensity of the response of the controller output to the rate of change of the error;
And carrying out quality evaluation on the initial parameters of each group of PID according to the heuristic function, and determining the using parameters.
In this embodiment, the error signal is the difference between the set point of the control system and the measured value, including instantaneous error, cumulative error, and rate of change error.
In this embodiment, the operation data is data recorded in actual operation of the lithium battery roll slitting machine, including time series data, such as temperature, pressure, speed, current, etc., which change with time, and the operation data is generally used for monitoring the current state of the equipment to perform fault diagnosis, or is real-time data describing the actual operation condition of the system as a basis for system control and performance evaluation, while the key parameters are variables which can be adjusted to affect the performance of the system, and the operation data is mainly represented as a state vector, an actual output value and an expected output value of the controller.
In this embodiment, the correlation function includes an accuracy function and a complementary function, and the corresponding action targets are the running data and the system performance requirement of the lithium battery roll splitting machine, specifically, the correlation function refers to a mathematical or algorithm model for processing and evaluating the data (such as the system response and the error signal) collected by the lithium battery roll splitting machine in the test, and these functions are combined with the weight coefficients to construct a heuristic function.
In this embodiment, the system response refers to the process by which the control system reacts to an input signal (e.g., an error signal or external disturbance) and may exhibit different dynamic characteristics, including rise time, steady state error, overshoot, and settling time.
The working principle and the beneficial effects of the technical scheme are as follows: and constructing a heuristic function through the error signal and the system response, performing quality evaluation on the initial parameters by using the heuristic function, and determining the use parameters, so that the system response is faster and more accurate, overshoot and oscillation are reduced, and the system stability is improved.
Example 6:
The embodiment of the invention provides a control method of a lithium battery roll slitting machine based on PID, which is based on the use parameter setting control experiment, dynamically adjusts the use parameter according to the result of the control experiment, and comprises the following steps:
designing a control experiment according to the working state of the lithium battery roll slitting machine, and setting an optimal control effect;
Operating the lithium battery roll slitting machine under the use parameters, collecting performance data, analyzing the performance data, and carrying out performance evaluation on the lithium battery roll slitting machine by combining a difference image;
adjusting the use parameters according to the evaluation result, controlling the lithium battery roll slitting machine to perform a secondary experiment according to the adjusted parameters, and judging whether the performance difference exists in the control experiment results of the use parameters before and after adjustment;
if the performance difference exists, the adjusted use parameters are proved to be effective, the adjusted use parameters are effectively marked, otherwise, the adjustment process is marked invalid, and the adjustment is not used;
Meanwhile, judging whether the effective parameters are effective or not according to the performance difference;
If yes, executing the experimental step again according to the positive effective parameters, and optimizing the corresponding positive effective parameters after each execution is completed;
After repeated execution of the experimental steps for a plurality of times, when the control performance of the equipment meets the optimal control effect, determining that the use parameters are optimized to the optimal state, and finishing the tuning.
In this embodiment, the working state is the current running state of the lithium battery roll slitting machine, including but not limited to yield, equipment working speed, equipment state (such as temperature, pressure, current, etc.), actual effect of the roll squeezer, etc., and is collected from sensors and other monitoring systems of the machine.
In the embodiment, after the parameters are effectively adjusted, the performance of the lithium battery roll slitting machine is improved, namely, the running condition of the machine is developed towards the expected front direction due to the parameter change; the positive effective parameters are those parameters which can improve the performance of the equipment after adjustment, and the performance states before and after adjustment are compared through the difference image, and if the display performance of the difference image is improved (such as error reduction and uniformity improvement), the difference image is considered to be positive.
In this embodiment, the optimal control effect is an effect or performance index that the device should achieve in an ideal working state, such as a minimum steady state error, a minimum overshoot, a maximum rising time, etc., and in actual operation, the set optimal control effect should match with a production requirement and a device capability, such as meeting a specific production speed requirement, and achieving a specific product quality standard, etc.
In this embodiment, the performance data refers to data collected from a process or apparatus to describe the performance of the apparatus under specific conditions, for example, for a lithium battery roll slitting machine, the performance data may include the operating speed, pressure, temperature, current, accuracy, steady state error, etc. of the apparatus.
In this embodiment, the performance evaluation analyzes the collected performance data to determine whether the performance of the device meets a predetermined target or criteria, for example, by comparing the actual operating speed of the device with a set operating speed to evaluate whether the device's operating performance meets a standard.
In this embodiment, a change in the difference image in which a positive difference (image brightness higher than a certain threshold) represents improvement in performance and a negative difference (image brightness lower than a certain threshold) represents deterioration in performance is observed, and the degree and area of change in performance are evaluated based on the analysis result of the difference image. For example, if the difference map of slitting accuracy shows improved performance after control parameter adjustment, this time the parameter adjustment is effective.
In this embodiment, the performance difference refers to a difference in the performance of the device under different conditions or parameter settings, for example, the operating speed, accuracy, etc. of the device may change before and after adjusting the parameters of the device, where the change is the performance difference.
In this embodiment, the tuning procedure is to adjust the parameter settings of the device in order to improve the performance of the device, for example, in a PID controller, by adjusting three parameters, i.e., proportional, integral and derivative, the response speed, stability and overshoot of the system are optimized.
The working principle and the beneficial effects of the technical scheme are as follows: the control experiment is designed according to the working state and the actual demand, repeated adjustment and optimization of the use parameters are carried out, the optimization result is marked, the corresponding marking effect is executed, repeated invalid adjustment is avoided, and the efficiency of parameter adjustment and equipment operation is greatly improved.
Example 7:
The embodiment of the invention provides a control method of a lithium battery roll slitting machine based on PID, which establishes a monitoring feedback system according to a tuning result to adjust the working state of the lithium battery roll slitting machine in real time, and comprises the following steps:
determining performance tuning indexes needing to be monitored in real time, and selecting key parameters of a corresponding sensor for continuously monitoring the lithium battery roll slitting machine;
Based on the tuning result and the performance tuning index, designing a feedback control loop by using PID control, and setting a performance index range;
combining the tuning result and the performance index range to establish a monitoring system;
The monitoring system calculates corresponding control operation based on the collected real-time data, a control command is sent to a control unit of the lithium battery roll slitting machine through a control algorithm of the monitoring system, positive effective parameters are continuously calculated and adjusted through the real-time data, a monitoring feedback loop is formed, and finally the monitoring feedback system is formed;
and carrying out fault evaluation on the controller according to the number of the positive effective marks, the negative effective marks and the ineffective marks in the optimization process, designing an abnormality detection and processing mechanism based on a fault evaluation result, detecting that the abnormality and the performance index deviate from the preset range, and alarming the corresponding condition.
In this embodiment, the performance tuning criteria are process speed, process pressure, cutting accuracy and stability.
In this embodiment, the control operation includes adjusting the production efficiency for increasing or decreasing the rolling speed, increasing or decreasing the roll pressure to accommodate battery sheet materials of different thicknesses, and correcting the cut position of the machine in real time to ensure the cutting accuracy.
In this embodiment, the fault evaluation process marks the monitored data as positive valid (performance is improved), negative valid (performance is reduced), or invalid (performance is not significantly affected), counts the number of various marks, evaluates how the controller responds to various conditions, identifies performance trends, and has an excessively high frequency of occurrence of negative valid or invalid data, which may indicate that the controller has a problem, needs to further detect possible fault causes, and considers that the controller may have a fault if the fault rate exceeds a certain threshold, and needs to take corrective action.
In the embodiment, an abnormality detection and processing mechanism is a key part of a monitoring system, and aims to ensure that a lithium battery roll slitting machine is kept stable and efficient in the running process.
In this embodiment, the performance index range refers to the maximum ideal value and the minimum ideal value of the lithium battery rolling slitting machine running on different performance indexes.
The working principle and the beneficial effects of the technical scheme are as follows: through real-time monitoring of performance data, a PID feedback loop is arranged for the system and is connected with a monitoring system, parameter tuning and controller fault judgment are carried out according to the data obtained by the monitoring system, efficient real-time monitoring and dynamic tuning of equipment are realized, the equipment is ensured to run in an optimal state, and meanwhile, a safe and stable production environment is maintained by timely identifying and processing faults.
Example 8:
the embodiment of the invention provides a control system of a lithium battery roll slitting machine based on PID, as shown in figure 2, comprising:
and an image drawing module: setting target parameters of a lithium battery roll slitting machine, collecting key parameters in the slitting process, differencing the target parameters and the key parameters, drawing a difference image, and identifying an instability factor from the difference image;
An initial parameter module: defining a control target of the lithium battery roll slitting machine according to the target parameter, and selecting an initial parameter of PID from a parameter database by using an ant algorithm based on the control target and the instability factor;
the parameter module is used: defining a heuristic function according to the difference image and the system performance requirement, evaluating the quality degree of each group of initial parameters, and determining an optimal group as a PID (proportion integration differentiation) using parameter according to an evaluation result;
And (3) a tuning module: based on the use parameter setting control experiment, dynamically adjusting the use parameter according to the result of the control experiment, and establishing a monitoring feedback system according to the adjusting result to adjust the working state of the lithium battery roll slitting machine in real time.
The working principle and the beneficial effects of the technical scheme are as follows: the method comprises the steps of setting target parameters of a machine, collecting key parameters in a slitting process, solving the difference between the target parameters and the key parameters, drawing a difference image, identifying an unstable factor from the image, definitely controlling the target, selecting optimal PID initial parameters from a database by combining an ant algorithm with the control target and the unstable factor, defining a heuristic function according to system performance requirements, evaluating the quality degree of each group of initial parameters through the heuristic function, selecting the optimal group as a use parameter of a PID controller, setting a control experiment according to the selected use parameter, continuously fine-adjusting the control parameter by dynamically adjusting the control experiment result so as to adjust the working state of the lithium battery rolling slitting machine in real time, finally establishing a monitoring feedback system according to the adjustment result, ensuring that the lithium battery rolling slitting machine operates under the optimal parameters and achieves the expected performance requirements, and realizing stable control and optimization of the technological process.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. The control method of the lithium battery roll slitting machine based on the PID is characterized by comprising the following steps of:
Step 1: setting target parameters of a lithium battery roll slitting machine, collecting key parameters in the slitting process, differencing the target parameters and the key parameters, drawing a difference image, and identifying an instability factor from the difference image;
Step 2: defining a control target of the lithium battery roll slitting machine according to the target parameter, and selecting an initial parameter of a controller PID from a parameter database by using an ant algorithm based on the control target and the instability factor;
Step 3: defining a heuristic function according to the system performance requirement, evaluating the quality degree of each group of initial parameters, and determining the optimal group as the use parameter of the PID according to the evaluation result;
step 4: based on the use parameter setting control experiment, dynamically adjusting the use parameter according to the result of the control experiment, and establishing a monitoring feedback system according to the adjusting result to adjust the working state of the lithium battery roll slitting machine in real time.
2. The control method of a lithium battery roll slitting machine based on PID according to claim 1, wherein the steps of setting target parameters of the lithium battery roll slitting machine, collecting key parameters in the slitting process, differentiating the target parameters from the key parameters, and drawing a difference image include:
The method comprises the steps of determining the performance requirement of a lithium battery roll slitting machine, setting target parameters of the lithium battery roll slitting machine according to the performance requirement, and collecting key parameters corresponding to the target parameters in real time;
drawing a difference histogram according to the difference value between the key parameter and the target parameter at the same time point, analyzing the difference histogram, determining and marking an unstable interval of fluctuation abnormality on the difference histogram;
the column change trend of the unstable section before and after the corresponding time period in the difference histogram is defined as a deviation change condition, and a region with the deviation change condition larger than a set range is taken as a first fluctuation region;
Cross comparison analysis of different time periods is carried out on the data in the first fluctuation area, and the first fluctuation area is subjected to first adjustment in combination with other related parameter change conditions;
and carrying out second adjustment on the first fluctuation area after the first adjustment according to the fluctuation frequency of the deviation in the first fluctuation area, and redrawing a difference image according to the difference value between the new key parameter and the target parameter after the second adjustment.
3. The method for controlling a PID based lithium battery roll slitter according to claim 2, wherein identifying an instability factor from the difference image comprises:
determining fluctuation features based on the difference images, analyzing the duration time period of each fluctuation feature, carrying out fluctuation comparison on the fluctuation interval and the fluctuation interval corresponding to the first fluctuation area, and determining the parameter fluctuation condition of the lithium battery roll slitting machine;
analyzing whether the parameter fluctuation conditions are consistent under different fluctuation characteristics, and further determining the correlation between the fluctuation characteristics and the parameter fluctuation;
From the correlation, an instability factor that leads to a control process is determined.
4. The method for controlling a lithium battery roll slitting machine based on PID according to claim 1, wherein determining a control target of the lithium battery roll slitting machine according to the target parameter, selecting initial parameters of PID from a parameter database by ant algorithm based on the control target and the instability factor, comprises:
Determining a control target affecting the performance of the lithium battery roll slitting machine according to the performance requirement of the lithium battery roll slitting machine, defining a possible range of a PID parameter set by using the control target, and creating a parameter database containing PID parameters based on the possible range;
And selecting a plurality of groups of PID parameters of the lithium battery roll slitting machine from the parameter database by combining an ant algorithm and an instability factor, and performing association screening on the plurality of groups of PID parameters according to a control target to determine the initial parameters of the PID.
5. The control method of a lithium battery roll slitting machine based on PID according to claim 1, wherein defining a heuristic function according to system performance requirements, evaluating the quality of each set of initial parameters, and determining an optimal set as a use parameter of the PID according to the evaluation result, includes:
inputting each group of initial parameters into a controller to test the performance of the lithium battery roll slitting machine, and collecting error signals and system response;
Determining the weight coefficient of each operation data and the related function according to the system performance requirement, and combining an error signal and a system response to construct a heuristic function:
；
；
；
Wherein, A heuristic function of a controller of the lithium battery roll slitting machine is represented; /(I)A state vector representing the controller; t is a sampling time variable, the value is 1,2,3,; /(I)The actual output value of the motor is controlled by the controller to reach a stable state; /(I)The method comprises the steps that a controller controls a motor to reach an expected output value in a stable state; /(I)Representing an accuracy function after the controller controls the motor to reach a stable state; /(I)Representing a supplemental function; /(I)An overshoot function representing an overshoot from the start of the motor response controlled by the controller to the motor response exceeding a desired value; /(I)A time function representing a time from when the controller controls the motor reaction to when the motor output reaches the target value for the first time; /(I)A time function representing the controller controlling the motor output to reach and remain near a desired value; /(I)、/>、/>、/>、/>The weight coefficient representing the corresponding function; /(I)Representing the intensity of the response of the controller output to the current error; /(I)Indicating the response intensity of the controller output to the error accumulation value; /(I)Representing the intensity of the response of the controller output to the rate of change of the error;
And carrying out quality evaluation on the initial parameters of each group of PID according to the heuristic function, and determining the using parameters.
6. The control method of the PID-based lithium battery roll slitting machine according to claim 1, wherein the dynamic tuning of the usage parameters based on the usage parameter setting control experiment and the result of the control experiment comprises:
designing a control experiment according to the working state of the lithium battery roll slitting machine, and setting an optimal control effect;
Operating the lithium battery roll slitting machine under the use parameters, collecting performance data, analyzing the performance data, and carrying out performance evaluation on the lithium battery roll slitting machine by combining a difference image;
adjusting the use parameters according to the evaluation result, controlling the lithium battery roll slitting machine to perform a secondary experiment according to the adjusted parameters, and judging whether the performance difference exists in the control experiment results of the use parameters before and after adjustment;
if the performance difference exists, the adjusted use parameters are proved to be effective, the adjusted use parameters are effectively marked, otherwise, the adjustment process is marked invalid, and the adjustment is not used;
Meanwhile, judging whether the effective parameters are effective or not according to the performance difference;
If yes, executing the experimental step again according to the positive effective parameters, and optimizing the corresponding positive effective parameters after each execution is completed;
After repeated execution of the experimental steps for a plurality of times, when the control performance of the equipment meets the optimal control effect, determining that the use parameters are optimized to the optimal state, and finishing the tuning.
7. The control method of a lithium battery roll slitting machine based on PID of claim 6, wherein the monitoring feedback system is established according to the tuning result, and the working state of the lithium battery roll slitting machine is adjusted in real time, comprising:
determining performance tuning indexes needing to be monitored in real time, and selecting key parameters of a corresponding sensor for continuously monitoring the lithium battery roll slitting machine;
Based on the tuning result and the performance tuning index, designing a feedback control loop by using PID control, and setting a performance index range;
combining the tuning result and the performance index range to establish a monitoring system;
The monitoring system calculates corresponding control operation based on the collected real-time data, a control command is sent to a control unit of the lithium battery roll slitting machine through a control algorithm of the monitoring system, positive effective parameters are continuously calculated and adjusted through the real-time data, a monitoring feedback loop is formed, and finally the monitoring feedback system is formed;
and carrying out fault evaluation on the controller according to the number of the positive effective marks, the negative effective marks and the ineffective marks in the optimization process, designing an abnormality detection and processing mechanism based on a fault evaluation result, detecting that the abnormality and the performance index deviate from the preset range, and alarming the corresponding condition.
8. Control system of lithium electricity roll-in cutting machine based on PID, its characterized in that includes:
and an image drawing module: setting target parameters of a lithium battery roll slitting machine, collecting key parameters in the slitting process, differencing the target parameters and the key parameters, drawing a difference image, and identifying an instability factor from the difference image;
An initial parameter module: defining a control target of the lithium battery roll slitting machine according to the target parameter, and selecting an initial parameter of PID from a parameter database by using an ant algorithm based on the control target and the instability factor;
the parameter module is used: defining a heuristic function according to the difference image and the system performance requirement, evaluating the quality degree of each group of initial parameters, and determining an optimal group as a PID (proportion integration differentiation) using parameter according to an evaluation result;
And (3) a tuning module: based on the use parameter setting control experiment, dynamically adjusting the use parameter according to the result of the control experiment, and establishing a monitoring feedback system according to the adjusting result to adjust the working state of the lithium battery roll slitting machine in real time.
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