Method and system for dynamically adjusting power supply of electronic paper based on PID (Proportion Integration Differentiation) control and state learning

Abstract

The invention discloses an electronic paper power supply dynamic adjustment method and system based on PID control and state learning, and the method comprises the steps: collecting the output voltage Vout (t) of a DCDC converter of an electronic paper power supply at each moment in real time in a sampling period, and calculating the deviation value e (t) of the output voltage Vout (t) and a preset target value Vref in real time; when the DCDC converter is in a PID control mode and the absolute value of the deviation value e (t) at any moment is larger than or equal to a preset precision threshold value, preset PID parameters are obtained, the duty ratio adjusting quantity is calculated according to the PID parameters and the deviation value e (t), and the PID parameters comprise a proportionality coefficient, an integral coefficient and a differential coefficient; and updating the PWM duty ratio of the DCDC converter according to the duty ratio adjusting quantity, and outputting the updated PWM duty ratio to the DCDC converter. According to the method and the system, when the load changes or the input voltage fluctuates, the output voltage of the DCDC converter can be quickly adjusted, and the time for recovering the voltage to be stable is shortened.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electronic paper display control, and particularly relates to an electronic paper power dynamic adjustment method and system based on PID control and state learning. BACKGROUND

[0002] Electronic paper display technology is widely used in Internet of Things terminal devices (such as electronic shelf labels, smart wearable devices, e-readers, etc.) due to its bistable display characteristics and near-zero power consumption image retention capability, especially Cholesteric Liquid Crystal (ChLC). A DCDC converter is integrated on the TCON board, which is the core part of the screen driver of the electronic paper, to generate various voltages required by the electronic paper. With the evolution of electronic paper devices, the accuracy requirements for voltage are gradually increasing. Therefore, the stability and accuracy of the output voltage during the operation of the DCDC converter are crucial, as they directly affect the normal operation of the subsequent load devices.

[0003] Traditional methods for adjusting the output voltage of the DCDC converter usually use simple feedback control, such as fixed duty cycle PWM control or fitting the PWM and voltage relationship as a first-order function for control. These methods have low adjustment accuracy and slow dynamic response speed when facing load changes, input voltage fluctuations, etc. When the load suddenly increases or the input voltage changes, the output voltage will fluctuate greatly, making it difficult to quickly recover to a stable state, and unable to meet the application requirements of high accuracy and high stability. In addition, traditional methods also lack effective monitoring and optimization strategies for the stable state of the output voltage, and cannot fully utilize system resources, reducing the overall performance of the DCDC converter. SUMMARY

[0004] To solve the technical problems in the background art, the present application proposes an electronic paper power dynamic adjustment method and system based on PID control and state learning.

[0005] The electronic paper power dynamic adjustment method based on PID control and state learning proposed by the present application includes the following steps: S1, in a sampling period, real-time collection of the output voltage Vout(t) of the DCDC converter of the electronic paper power at each time, and real-time calculation of the deviation value e(t) of the output voltage Vout(t) from the preset target value Vref; S2, when the DCDC converter is in the PID control mode, and the absolute value of the deviation value e(t) at any time is greater than or equal to the preset precision threshold , the preset PID parameters are obtained, and the duty cycle adjustment amount is calculated according to the PID parameters and the deviation value e(t), the PID parameters including the proportional coefficient, the integral coefficient, and the differential coefficient; S3. Update the PWM duty cycle of the DC-DC converter according to the duty cycle adjustment, and output the updated PWM duty cycle to the DC-DC converter.

[0006] Preferably, the step of calculating the duty cycle adjustment based on the PID parameters and the deviation value e(t) specifically involves: ; in, This represents the duty cycle adjustment at time t. This is the proportionality coefficient; The integral coefficient; These are the differential coefficients; This is the cumulative amount of the deviation value; This represents the rate of change of the deviation value.

[0007] Preferably, it further includes: S4. When the absolute value of the deviation e(t) between the output voltage Vout(t) and the preset target value Vref is less than the preset accuracy threshold for N consecutive sampling periods. And the rate of change of deviation is less than the dynamic threshold. When the DC-DC converter is in a stable state, the preset target value Vref corresponding to the stable state is mapped to the current PWM duty cycle and stored in the memory. The controller's control mode is then switched to fast call mode.

[0008] Preferably, it further includes: When in fast call mode, if a target voltage call instruction is received and the voltage value of the target voltage call instruction matches the stored preset target value Vref, then the PWM duty cycle corresponding to the preset target value Vref is directly read as the initial PWM duty cycle of the DC-DC converter.

[0009] Preferably, it further includes: In fast call mode, the output voltage is read back and detected at a fixed period T1. When the absolute value of the read voltage deviation exceeds the preset correction threshold, the fast call mode is switched to PID control mode until the DC-DC converter is determined to have re-entered a stable state, so as to update the mapping relationship between the stored preset target value Vref and the corresponding PWM duty cycle.

[0010] This invention proposes a dynamic power supply adjustment system for electronic paper based on PID control and state learning, comprising: The comparison module is used to acquire the output voltage Vout(t) of the DCDC converter of the electronic paper power supply at each moment in real time within a sampling period, and to calculate the deviation value e(t) between the output voltage Vout(t) and the preset target value Vref in real time. The data processing module is used when the DC-DC converter is in PID control mode and the absolute value of the deviation e(t) at any given time is greater than or equal to a preset accuracy threshold. When the preset PID parameters are obtained, the duty cycle adjustment amount is calculated based on the PID parameters and the deviation value e(t). The PID parameters include proportional coefficient, integral coefficient and derivative coefficient. The data update module is used to update the PWM duty cycle of the DC-DC converter according to the duty cycle adjustment amount, and output the updated PWM duty cycle to the DC-DC converter.

[0011] Preferably, it further includes: The adjustment module is used to determine that the DC-DC converter has entered a stable state when the absolute value of the deviation e(t) between the output voltage Vout(t) and the preset target value Vref is less than the preset accuracy threshold and the deviation change rate is less than the dynamic threshold for N consecutive sampling cycles. At this time, the preset target value Vref corresponding to the stable state is mapped to the current PWM duty cycle and stored in the memory, and the controller's control mode is switched to fast recall mode.

[0012] The present invention proposes an electronic paper power supply control system, comprising: a voltage sensor, a DC-DC converter, and a controller with dual-mode switching function; the controller is configured to execute the electronic paper power supply dynamic adjustment method based on PID control and state learning as described above.

[0013] This invention presents a dynamic power supply adjustment method and system for electronic paper based on PID control and state learning. This method achieves high-precision dynamic adjustment of the output voltage of the DC-DC converter, ensuring the output voltage accurately reaches the preset target value. It can quickly adjust the output voltage of the DC-DC converter when the load changes or the input voltage fluctuates, shortening the voltage recovery time. Without altering the existing TCON hardware architecture, it reduces data transmission volume and frees up hardware resources. By monitoring and analyzing the stable output voltage state, the control strategy is rationally adjusted, fully utilizing system resources and improving the overall performance of the DC-DC converter. Attached Figure Description

[0014] Figure 1 This is a schematic diagram illustrating the workflow of a dynamic power supply adjustment method for electronic paper based on PID control and state learning proposed in this invention. Figure 2 This is a flowchart illustrating one implementation of an electronic paper power supply dynamic adjustment method based on PID control and state learning proposed in this invention. Figure 3 This is a schematic diagram of the system architecture of an electronic paper power control system proposed in this invention. Detailed Implementation

[0015] Reference Figure 1 and Figure 2 The present invention proposes a method for dynamic adjustment of electronic paper power supply based on PID control and state learning, comprising the following steps: S1. Within a sampling period, the output voltage Vout(t) of the DCDC converter of the electronic paper power supply is collected in real time at each moment, and the deviation value e(t) between the output voltage Vout(t) and the preset target value Vref is calculated in real time.

[0016] S2. When the DC-DC converter is in PID control mode, and the absolute value of the deviation e(t) at any given time is greater than or equal to the preset accuracy threshold. When the preset PID parameters are obtained, the duty cycle adjustment is calculated based on the PID parameters and the deviation value e(t). The PID parameters include the proportional coefficient, integral coefficient and derivative coefficient.

[0017] In this embodiment, the duty cycle adjustment is calculated based on the PID parameters and the deviation value e(t), specifically as follows: ; in, This represents the duty cycle adjustment at time t. This is the proportionality coefficient; The integral coefficient; These are the differential coefficients; This is the cumulative amount of the deviation value; This represents the rate of change of the deviation value.

[0018] S3. Update the PWM duty cycle of the DC-DC converter according to the duty cycle adjustment, and output the updated PWM duty cycle to the DC-DC converter.

[0019] In this embodiment, by monitoring the deviation between the output voltage and the target value in real time, the duty cycle of the PWM signal is dynamically adjusted using proportional, integral, and derivative operations to achieve high-precision and rapid adjustment of the DC-DC output voltage.

[0020] In this embodiment, it also includes: S4. When the absolute value of the deviation e(t) between the output voltage Vout(t) and the preset target value Vref is less than the preset accuracy threshold for N consecutive sampling periods. And the rate of change of deviation is less than the dynamic threshold. When the DC-DC converter is in a stable state, the preset target value Vref corresponding to the stable state is mapped to the current PWM duty cycle and stored in the memory. The controller's control mode is then switched to fast call mode.

[0021] In this embodiment, it also includes: When in fast call mode, if a target voltage call command is received and the voltage value of the target voltage call command matches the stored preset target value Vref, the PWM duty cycle corresponding to the preset target value Vref is directly read as the initial PWM duty cycle of the DC-DC converter.

[0022] In this embodiment, it also includes: In fast call mode, the output voltage is read back and detected at a fixed period T1. When the absolute value of the read voltage deviation exceeds the preset correction threshold, the fast call mode is switched to PID control mode until the DC-DC converter is determined to have re-entered a stable state, so as to update the mapping relationship between the stored preset target value Vref and the corresponding PWM duty cycle.

[0023] In this embodiment, when the system enters a stable state, the corresponding PWM duty cycle value and target voltage value are stored to provide fast start parameters for subsequent calls with the same voltage, thereby improving the system response efficiency.

[0024] Specifically, a fast call mode is established to reduce redundant calculations, while periodic readback detection and automatic correction ensure that the system can maintain the stability and accuracy of the output voltage under the influence of environmental changes and other factors.

[0025] In this embodiment, a preset accuracy threshold is used. The set value is 20%; the preset correction threshold is 5%. The threshold is strongly correlated with the scene; the more slowly changing the scene (e.g., static billboard images, bus stop timetables), the more lenient the threshold, and vice versa. Preset precision threshold. The values ​​of and the preset correction threshold are specifically set for specific scenarios and screen models. The preset accuracy threshold of this invention... The value of and the value of the preset correction threshold are used to monitor whether the system can work properly.

[0026] Reference Figure 1 and Figure 2 The present invention proposes a dynamic power supply adjustment system for electronic paper based on PID control and state learning, comprising: The comparison module is used to acquire the output voltage Vout(t) of the DCDC converter of the electronic paper power supply at each moment in real time within a sampling period, and to calculate the deviation value e(t) between the output voltage Vout(t) and the preset target value Vref in real time. The data processing module is used when the DC-DC converter is in PID control mode and the absolute value of the deviation e(t) at any given time is greater than or equal to a preset accuracy threshold. When the preset PID parameters are obtained, the duty cycle adjustment is calculated based on the PID parameters and the deviation value e(t). The PID parameters include the proportional coefficient, integral coefficient and derivative coefficient. The data update module is used to update the PWM duty cycle of the DC-DC converter according to the duty cycle adjustment amount, and output the updated PWM duty cycle to the DC-DC converter.

[0027] In this embodiment, it also includes: The adjustment module is used to determine that the DC-DC converter has entered a stable state when the absolute value of the deviation e(t) between the output voltage Vout(t) and the preset target value Vref is less than the preset accuracy threshold and the deviation change rate is less than the dynamic threshold for N consecutive sampling cycles. At this time, the preset target value Vref corresponding to the stable state is mapped to the current PWM duty cycle and stored in the memory, and the controller's control mode is switched to fast recall mode.

[0028] Reference Figures 1-3 The present invention proposes an electronic paper power supply control system, comprising: a voltage sensor, a DC-DC converter, and a controller with dual-mode switching function; the controller is configured to execute the electronic paper power supply dynamic adjustment method based on PID control and state learning, as described above.

[0029] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A PID control and state learning-based electronic paper power supply dynamic adjustment method, characterized in that, The method comprises the following steps: S1, collecting the output voltage Vout(t) of the DCDC converter of the electronic paper power supply at each time point in a sampling period, and calculating the deviation e(t) of the output voltage Vout(t) from the preset target value Vref in real time; S2, when the DCDC converter is in the PID control mode, and the absolute value of the deviation value e(t) at any time is greater than or equal to a preset precision threshold , a preset PID parameter is acquired, and a duty ratio adjustment amount is calculated according to the PID parameter and the deviation value e(t); the PID parameter includes a proportional coefficient, an integral coefficient, and a differential coefficient. S3, updating the PWM duty cycle of the DCDC converter according to the duty cycle adjustment amount, and outputting the updated PWM duty cycle to the DCDC converter.

2. The method for dynamic power supply adjustment of electronic paper based on PID control and state learning according to claim 1, characterized in that, The duty cycle adjustment amount is calculated according to the PID parameter and the deviation e(t), and specifically: ； wherein, is the duty cycle adjustment amount at time t; is a proportional coefficient; is an integral coefficient; is a differential coefficient; is the accumulated amount of the deviation value; is the rate of change of the deviation value.

3. The method for dynamic power supply adjustment of electronic paper based on PID control and state learning according to claim 1, characterized in that, Further comprising: S4. When the absolute value of the deviation e(t) between the output voltage Vout(t) and the preset target value Vref is less than the preset accuracy threshold for N consecutive sampling periods. And the rate of change of deviation is less than the dynamic threshold. When the DC-DC converter is in a stable state, the preset target value Vref corresponding to the stable state is mapped to the current PWM duty cycle and stored in the memory. The controller's control mode is then switched to fast call mode.

4. The method for dynamic adjustment of electronic paper power supply based on PID control and state learning according to claim 3, characterized in that, Further comprising: When in the fast calling mode, if the target voltage calling instruction is received and the voltage value of the target voltage calling instruction matches the stored preset target value Vref, the PWM duty cycle corresponding to the preset target value Vref is directly read as the initial PWM duty cycle of the DCDC converter.

5. The method of claim 3, wherein the PID control and state learning based dynamic adjustment of the power supply of the e-paper is characterized by, Further comprising: In the fast calling mode, the output voltage is read back and detected at a fixed period T1, and when the absolute value of the voltage deviation of the read back exceeds the preset correction threshold, the fast calling mode is switched to the PID control mode until it is determined that the DCDC converter reenters the stable state, so as to update the mapping relationship between the stored preset target value Vref and the corresponding PWM duty cycle.

6. An electronic paper power supply dynamic adjustment system based on PID control and state learning, characterized in that, Comprising: The comparison module is configured to collect the output voltage Vout(t) of the DCDC converter of the electronic paper power supply at each time point in a sampling period, and calculate the deviation e(t) of the output voltage Vout(t) from the preset target value Vref in real time; The data processing module is used when the DC-DC converter is in PID control mode and the absolute value of the deviation e(t) at any given time is greater than or equal to a preset accuracy threshold. When the preset PID parameters are obtained, the duty cycle adjustment amount is calculated based on the PID parameters and the deviation value e(t). The PID parameters include proportional coefficient, integral coefficient and derivative coefficient. The data updating module is configured to update the PWM duty cycle of the DCDC converter according to the duty cycle adjustment amount, and output the updated PWM duty cycle to the DCDC converter.

7. The PID control and state learning based electronic paper power supply dynamic adjustment system according to claim 1, wherein, Further comprising: The adjustment module is configured to determine that the DCDC converter enters the stable state when the absolute values of the deviations e(t) of the output voltage Vout(t) from the preset target value Vref in the continuous N sampling periods are all less than the preset precision threshold, and the deviation change rate is less than the dynamic threshold, at this time, a mapping relationship between the preset target value Vref corresponding to the stable state and the current PWM duty cycle is constructed and stored in the memory, and the control mode of the controller is switched to the fast calling mode.

8. An electronic paper power supply control system characterized by comprising: Comprising: A voltage sensor, a DCDC converter, and a controller with a dual-mode switching function; the controller is configured to perform the electronic paper power supply dynamic adjustment method based on PID control and state learning according to any one of claims 1-5.

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