Aluminum plate strip rolling thickness control method and system based on thickness data simulation

Abstract

The invention relates to an aluminum plate strip rolling thickness control method and system based on thickness data simulation. The method comprises the steps that real-time working condition data in the aluminum plate strip rolling process is obtained; a roller thermal expansion dynamic model is constructed, the roller thermal crown is calculated in real time based on the real-time working condition data, and the thickness compensation amount is generated according to the roller thermal crown; a thickness dynamic response model is constructed, based on real-time working condition data, the thickness deviation, the thickness deviation change rate and the cumulative sum of the thickness deviation of the aluminum plate strip are calculated, and the thickness adjusting amount is calculated through a PID control algorithm; the thickness compensation amount and the thickness adjusting amount are fused, and a hydraulic pressing position adjusting instruction is generated; the hydraulic automatic thickness control system drives a hydraulic cylinder to adjust a roller gap according to the hydraulic screw-down position adjusting instruction; the method has the advantages that the thickness compensation amount based on multi-section temperature accurate calculation and the thickness adjusting amount based on real-time deviation dynamic adjustment are efficiently fused, and the thickness control precision and the dynamic response speed are remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of aluminum plate strip rolling technology, and particularly relates to a method and system for controlling the thickness of aluminum plate strip rolling based on thickness data simulation. BACKGROUND

[0002] As an important light-weight and high-strength material, aluminum plate strip is widely used in the fields of aerospace, transportation, electronic communication and packaging. With the increasing requirements of downstream industries on the size precision, surface quality and mechanical properties of aluminum plate strip products, the thickness control precision in the rolling process has become a key indicator for measuring product quality and production technology level. The hydraulic automatic gauge control (HAGC) system has become one of the commonly used technologies for high-precision thickness control of aluminum plate strip due to its fast response speed and high control precision.

[0003] However, the control precision of the HAGC system is disturbed by various complex factors, which is difficult to meet the stringent requirements of high-end products on thickness uniformity, mainly in the following aspects:

[0004] 1. The thermal expansion effect of the roll affects the thickness stability. In the continuous rolling process, the temperature field of the roll is uneven due to friction with the strip, plastic deformation work and the action of cooling liquid, resulting in complex thermal crown. This thermal deformation directly changes the roll gap and is the main disturbance source of the longitudinal thickness fluctuation of the strip (especially the head-tail thickness difference of long coil rolling). The traditional HAGC system mainly relies on the feedback adjustment of the outlet thickness gauge, and the compensation for thermal expansion has a lag, which cannot realize early prediction and active inhibition. Although some systems introduce thermal crown compensation based on empirical formula, the dynamic changes of rolling parameters and the complexity of three-dimensional temperature field of the roll are not fully considered, which limits the compensation precision and real-time degree.

[0005] 2. The dynamic response and steady-state precision of the control system are difficult to balance. The HAGC system faces different control requirements in different stages of rolling. In the dynamic stages such as steel biting, steel throwing or speed mutation, the system needs to respond quickly to eliminate large deviations, and the controller needs to have high gain to realize rapid adjustment; while in the steady-state stage of stable operation of the strip, the system needs to suppress small disturbances and maintain high precision, and the controller needs to have low gain to avoid oscillation and noise amplification. The traditional fixed gain PID controller cannot adapt to such changes in demand, and the high gain mode is easy to cause steady-state oscillation, affecting the surface quality, and the low gain mode is slow in response in the dynamic stage, leading to thickness deviation. Although the existing technology proposes gain switching, simple hard switching is easy to cause impact when switching modes, affecting the stability of the system.

[0006] Therefore, there is an urgent need to develop a new type of aluminum plate strip rolling thickness control method and system, which can deeply integrate the dynamic simulation of roll thermal expansion and the intelligent adjustment of thickness response, realize the advance prediction and compensation of interference, and adaptively optimize the control parameters in different rolling stages, so as to significantly improve the overall thickness precision and uniformity of aluminum plate strip products under the premise of ensuring system stability.

[0007] Based on this, the present case is proposed. SUMMARY

[0008] The purpose of the present application is to provide a control method and system for aluminum plate strip rolling thickness based on thickness data simulation, which realizes the advance prediction and compensation of interference, and adaptively optimizes the control parameters in different rolling stages, significantly improving the overall thickness precision and uniformity of aluminum plate strip products.

[0009] In order to achieve the above-mentioned purpose, the technical scheme of the present application is as follows:

[0010] A control method for aluminum plate strip rolling thickness based on thickness data simulation, comprising the following steps:

[0011] S1. Obtain real-time working condition data in the aluminum plate strip rolling process, including but not limited to rolling force, rolling speed, roll cooling liquid flow, inlet strip thickness, outlet strip measured thickness and roll surface temperature distribution;

[0012] S2. Construct a roll thermal expansion dynamic model, based on real-time working condition data, calculate the roll thermal crown in real time, and generate a thickness compensation amount according to the roll thermal crown;

[0013] S3. Construct a thickness dynamic response model, based on real-time working condition data, calculate the aluminum plate strip thickness deviation, thickness deviation change rate and cumulative sum of thickness deviation, and calculate the thickness adjustment amount by using PID control algorithm;

[0014] S4. Fuse the thickness compensation amount and the thickness adjustment amount to generate a hydraulic position adjustment instruction;

[0015] S5. The hydraulic automatic thickness control system drives the hydraulic cylinder to adjust the roll gap according to the hydraulic position adjustment instruction.

[0016] Further, the step S2 specifically includes the following process:

[0017] S21. The roll body is divided into n independent sections along the axial direction, and the roll thermal expansion dynamic model of each independent section is as follows:

[0018] δ i (t)=a i0 +a i1 (T i -T0)+ai2 v+a i3 F cool +a i4 t+a i5 ·Width+a i6 (T i-1 -T i )+a i7 (T i+1 -T i );

[0019] In the formula, δ i (t) represents the thermal deformation amount of the i-th section of the roll body at time t; T i represents the real-time surface temperature of the i-th section of the roll body, v is the current rolling speed; T0 is the ambient temperature, which is room temperature; F cool represents the cooling liquid flow rate; Width represents the width of the current rolling strip; (T i-1 -T i ) and (T i+1 -T i ) represent the heat conduction amount between the left and right adjacent two sections; a i0 to a i7 are influence coefficients, which are determined by fitting;

[0020] S22. According to the real-time working condition data, the thermal deformation amount of each independent section of the roll body is calculated, and the average thermal deformation amount, which is the roll thermal crown, is calculated;

[0021] S23. According to the roll thermal crown, the thickness compensation amount is generated, and the calculation formula of the thickness compensation amount is as follows:

[0022] ΔS compensation =-K comp ×Δh thermal ;

[0023] In the formula, ΔS compensation represents the thickness compensation amount; K comp represents the compensation gain coefficient, which is used to adjust the size of the compensation amount and is a constant; Δh thermal represents the average thermal deformation amount, i.e. the roll thermal crown.

[0024] Further, the step S3 specifically includes the following processes:

[0025] S31. According to the measured thickness of the outlet strip and the preset target thickness, the current thickness deviation is calculated;

[0026] S32. The thickness deviation is time-integrated to calculate the cumulative sum of the thickness deviation since the start of rolling or the last zeroing;

[0027] S33. Construct a thickness dynamic response model to predict the rate of change of thickness deviation over time, wherein the expression of the thickness dynamic response model is as follows:

[0028]

[0029] wherein e(t) represents the thickness deviation at time t, represents the rate of change of thickness deviation at time t; C is the rolling mill stiffness, respectively represent the rolling force, front tension, back tension and rolling speed rate of change; K Tf , K Tb , K v respectively represent the sensitivity coefficients of the corresponding items, which are determined according to experiments;

[0030] S34. According to the current thickness deviation, the cumulative sum of thickness deviation and the predicted rate of change of thickness deviation, the thickness adjustment amount is calculated by using the PID control algorithm, which is specifically as follows:

[0031]

[0032] wherein ΔS control represents the thickness adjustment amount; K p (t) is the proportional gain of dynamic adjustment; K i is the integral gain, which is a fixed constant; K d is the differential gain, which is a fixed constant; E int (t) is the cumulative sum of thickness deviation at time t.

[0033] Further, the dynamic adjustment of the proportional gain K p (t) is switched according to the working condition mode, which is specifically as follows:

[0034] When the hydraulic automatic thickness control system is in a dynamic stage, or the rolling speed rate of change exceeds a preset threshold, or the rolling force rate of change exceeds a preset threshold, K p (t) = K p_high , wherein K p_high is the set value of the proportional gain in the dynamic stage;

[0035] On the contrary, K p (t) = K p_low , wherein K p_low is the set value of the proportional gain in the non-dynamic stage;

[0036] The dynamic stage includes the steel biting stage and the steel throwing stage.

[0037] Further, when the value of the proportional gain K p (t) is switched, an exponential decay function is used for smooth transition processing.

[0038] Further, the fusion of the thickness compensation amount and the thickness adjustment amount adopts a linear superposition manner, namely:

[0039] ΔS final = ΔS compensation + ΔS control ;

[0040] In the formula, ΔS final is the final adjustment amount.

[0041] Further, the fusion of the thickness compensation amount and the thickness adjustment amount adopts a dynamic weighted superposition manner, namely:

[0042] ΔS final = w(t)·ΔS compensation + (1-w(t))·ΔS control ;

[0043] In the formula, when the hydraulic automatic thickness control system is in a dynamic stage, or the rolling speed change rate exceeds a preset threshold, or the rolling force change rate exceeds a preset threshold, w(t) takes 0.7-0.9; otherwise, w(t) takes 0.3-0.5.

[0044] An aluminum plate strip rolling thickness control system based on thickness data simulation, comprising:

[0045] A data acquisition module is configured to acquire real-time working condition data in a rolling process, wherein the real-time working condition data comprises rolling force, rolling speed, roller cooling liquid flow, inlet strip thickness, outlet strip measured thickness, and roller surface temperature distribution.

[0046] A thermal expansion compensation module is configured to call a roller thermal expansion dynamic model, to calculate a roller thermal crown in real time based on the real-time working condition data, and to generate a thickness compensation amount according to the roller thermal crown.

[0047] A dynamic response adjustment module is configured to call a thickness dynamic response model, to calculate aluminum plate strip thickness deviation, thickness deviation change rate, and cumulative sum of thickness deviation based on the real-time working condition data, and to calculate a thickness adjustment amount by using a PID control algorithm.

[0048] An adaptive fusion module is configured to fuse the thickness compensation amount and the thickness adjustment amount to generate a hydraulic press-down position adjustment instruction.

[0049] An execution module is configured to receive the hydraulic press-down position adjustment instruction and to drive a hydraulic cylinder of the hydraulic automatic thickness control system to adjust a roller gap.

[0050] The present application has the following advantages:

[0051] 1. The core effect of the present application is to efficiently fuse the thickness compensation amount based on multi-section temperature accurate calculation and the thickness adjustment amount based on real-time deviation dynamic adjustment. The thickness compensation amount pre-offsets the predictable thermal crown influence, greatly shortening the control lag; the thickness adjustment amount real-time corrects the residual error and external disturbance. The dynamic weighted fusion of the two realizes the transformation from "passive adjustment" to "active prediction + accurate correction", significantly improving the accuracy and dynamic response speed of the thickness control.

[0052] 2. By dividing the roll into multiple sections along the axial direction and establishing an independent thermal response model for each section, the complex thermal crown distribution can be accurately calculated. Combined with the smooth and noise-resistant differential prediction term guided by the thickness dynamic response model, and the dynamically adjusted PID gain, the system can quickly and accurately compensate for various disturbances, effectively reduce the thickness deviation, and meet the stringent tolerance requirements of high-end products. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 The flowchart of the control method for aluminum plate strip rolling thickness based on thickness data simulation in the embodiment. DETAILED DESCRIPTION

[0054] The present application will be further described in conjunction with the embodiments. It should be understood that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship shown in the coordinate system of the drawings, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation. Therefore, it cannot be understood as a limitation on the present application.

[0055] As shown in Figure 1 , the present embodiment proposes a control method for aluminum plate strip rolling thickness based on thickness data simulation, comprising the following steps:

[0056] S1. Obtain real-time working condition data in the aluminum plate strip rolling process, including but not limited to rolling force, rolling speed, roll cooling liquid flow, inlet strip thickness, outlet strip measured thickness, and roll surface temperature distribution;

[0057] S2. Build a roll thermal expansion dynamic model, calculate the roll thermal crown in real time based on real-time working condition data, and generate a thickness compensation amount according to the roll thermal crown;

[0058] S3. Build a thickness dynamic response model, calculate the aluminum plate strip thickness deviation, thickness deviation change rate and cumulative sum of thickness deviation based on real-time working condition data, and calculate the thickness adjustment amount using a PID control algorithm;

[0059] S4. Combine the thickness compensation amount and the thickness adjustment amount to generate a hydraulic pressing position adjustment command;

[0060] S5. The hydraulic automatic thickness control system drives the hydraulic cylinder to adjust the roll gap according to the hydraulic pressing position adjustment command.

[0061] Step S2 specifically includes the following process:

[0062] S21. The roll body is divided into n independent segments along the axial direction. The dynamic model of the thermal expansion of each independent segment is as follows:

[0063] δ i (t)=a i0 +a i1 (T i -T0)+a i2 v+a i3 F cool +a i4 t+a i5 ·Width+a i6 (T i-1 -T i )+a i7 (T i+1 -T i ); where δ i (t) represents the thermal deformation of the i-th roll body at time t; T i The real-time surface temperature of the i-th roll body is represented by v, where v is the current rolling speed; T0 is the ambient temperature, taken as room temperature; F cool Indicates coolant flow rate; Width indicates the current width of the rolled strip; (T) i-1 -T i ) and (T i+1 -T i ) represents the heat transfer between two adjacent segments; a i0 To a i7 The influence coefficient was determined through fitting.

[0064] S22. Based on real-time operating data, calculate the thermal deformation of each independent section of the roll body, and calculate the average thermal deformation, which is the roll thermal crown.

[0065] S23. Based on the thermal crown of the roll, a thickness compensation amount is generated. The calculation formula for the thickness compensation amount is as follows:

[0066] ΔS compensation =-K comp ×Δh thermal ;

[0067] In the formula, ΔS compensation Indicates the thickness compensation amount; K comprepresents the compensation gain coefficient, used to adjust the size of the compensation, which is a constant; Δh thermal represents the average thermal deformation, i.e. the thermal crown of the roll.

[0068] Step S2 is the feedforward compensation core of the control method of the embodiment. By constructing a refined n-section partition-based dynamic model of the thermal expansion of the roll, the defect of large error caused by rough estimation in the traditional method can be overcome, and the complex thermal crown generated by the uneven heating of the roll can be accurately predicted. The thickness compensation generated according to the calculation result can actively adjust the roll gap before the thermal crown has a significant impact on the thickness of the strip, thereby effectively offsetting its negative impact, greatly reducing the thickness deviation caused by thermal deformation, and improving the predictability and initiative of the control.

[0069] The step S3 includes the following processes:

[0070] S31. Calculate the current thickness deviation according to the measured thickness of the outlet strip and the preset target thickness;

[0071] S32. Time-integrate the thickness deviation to calculate the cumulative sum of the thickness deviation since the start of rolling or the last zeroing;

[0072] S33. Construct a thickness dynamic response model to predict the rate of change of the thickness deviation with time, wherein the expression of the thickness dynamic response model is as follows:

[0073]

[0074] In the formula, e(t) represents the thickness deviation at time t, represents the rate of change of the thickness deviation at time t; C is the stiffness of the rolling mill, respectively represent the change rates of the rolling force, the front tension, the rear tension and the rolling speed; K Tf , K Tb , K v respectively represent the sensitivity coefficients of the corresponding items, which are determined according to experiments;

[0075] S34. According to the current thickness deviation, the cumulative sum of the thickness deviation and the predicted rate of change of the thickness deviation, the thickness adjustment amount is calculated by using the PID control algorithm, which is specifically as follows:

[0076]

[0077] In the formula, ΔS control represents the thickness adjustment amount; K p (t) is the proportional gain of dynamic adjustment; K i is the integral gain, which is a fixed constant; K d is the differential gain, which is a fixed constant; E int(t) is the thickness deviation cumulative sum at time t.

[0078] Step S3 constitutes the feedback adjustment core of the control method of the embodiment, which can accurately predict the change trend (change rate) of the thickness deviation, and calculate the thickness adjustment amount through the dynamic gain PID algorithm in combination with the current deviation and its cumulative amount. The thickness adjustment amount can make real-time and accurate correction to the error (such as incoming material fluctuation, instantaneous disturbance, model misalignment) and external interference which are not completely covered by step S2, thereby enhancing the robustness and adaptability of the system.

[0079] As preferred, in step S3, the proportional gain K p The dynamic adjustment of K p (t) is switched according to the working condition mode, specifically as follows: when the hydraulic automatic thickness control system is in a dynamic phase, or the rolling speed change rate exceeds a preset threshold, or the rolling force change rate exceeds a preset threshold, K p_high (t) = K p_high d, wherein K p d is the set value of the proportional gain in the dynamic phase; otherwise, K p_low (t) = K p_low , wherein K p is the value of the proportional gain in the non-dynamic phase; the dynamic phase includes the steel biting phase and the steel throwing phase. In the dynamic phase, the system is subject to greater external disturbance, and if the response speed is not enough, the thickness deviation can rapidly increase. In this phase, the proportional gain is increased to increase the output of the controller to improve the response, so that the hydraulic cylinder can act more quickly to rapidly reduce the deviation and suppress the thickness fluctuation. In the non-dynamic phase, the proportional gain is reduced to reduce the output of the controller to avoid unnecessary adjustment actions due to overreaction, thereby suppressing system oscillation and improving control stability and precision.

[0080] In addition, when the value of the proportional gain is switched, in order to avoid the control output jump caused by the sudden change of the gain value, the embodiment adopts an exponential decay function (or other smooth transition function) for smooth transition processing when the value of K p (t) is switched.

[0081] In the embodiment, the fusion of the thickness compensation amount and the thickness adjustment amount in step S4 adopts a dynamic weighted superposition manner, i.e.

[0082] ΔS final = w(t) · ΔS compensation + (1-w(t)) · ΔS control ;

[0083] In the formula, w(t) takes 0.7-0.9 when the hydraulic automatic thickness control system is in a dynamic stage, or the rolling speed change rate exceeds a preset threshold, or the rolling force change rate exceeds a preset threshold; otherwise, w(t) takes 0.3-0.5. In the dynamic stage such as steel biting, steel throwing or sudden change of working conditions, the rolling conditions change dramatically, for example, the rolling force, temperature and speed fluctuate rapidly, at this time, the thickness compensation amount calculated based on the real-time temperature and the thermal model can provide rapid compensation for these disturbances, so in this stage, increasing the weight of the thickness compensation amount can make the system suppress larger thickness change fluctuations. The thickness adjustment amount is calculated based on the real-time thickness deviation information, and increasing the weight of the thickness adjustment amount in the steady state can improve the accuracy of the thickness control.

[0084] In addition, the embodiment also proposes an aluminum plate strip rolling thickness control system based on thickness data simulation, comprising:

[0085] A data acquisition module is configured to acquire real-time working condition data in the rolling process, wherein the real-time working condition data comprises rolling force, rolling speed, roller cooling liquid flow, inlet strip thickness, outlet strip measured thickness and roller surface temperature distribution.

[0086] A thermal expansion compensation module is configured to call a roller thermal expansion dynamic model, calculate the roller thermal crown in real time based on the real-time working condition data, and generate a thickness compensation amount according to the roller thermal crown.

[0087] A dynamic response adjustment module is configured to call a thickness dynamic response model, calculate aluminum plate strip thickness deviation, thickness deviation change rate and cumulative sum of thickness deviation based on the real-time working condition data, and calculate a thickness adjustment amount by using a PID control algorithm.

[0088] An adaptive fusion module is configured to fuse the thickness compensation amount and the thickness adjustment amount to generate a hydraulic press-down position adjustment instruction.

[0089] An execution module is configured to receive the hydraulic press-down position adjustment instruction and drive a hydraulic cylinder of the hydraulic automatic thickness control system to adjust the roller gap.

[0090] The above embodiments are only used to explain the concept of the present application, and are not a limitation on the protection of the present application. Any non-substantial modification of the present application using the concept shall fall within the protection scope of the present application.

Claims

1. A method for controlling the thickness of aluminum sheet and strip rolling based on thickness data simulation, characterized in that, Includes the following steps: S1. Obtain real-time operating data during the aluminum strip rolling process, including but not limited to rolling force, rolling speed, roll coolant flow rate, inlet strip thickness, outlet strip measured thickness, and roll surface temperature distribution; S2. Construct a dynamic model of roll thermal expansion, calculate roll thermal crown in real time based on real-time operating data, and generate thickness compensation amount based on roll thermal crown; S3. Construct a thickness dynamic response model, calculate the thickness deviation, thickness deviation change rate and cumulative total of thickness deviation of aluminum strip based on real-time working condition data, and use PID control algorithm to calculate the thickness adjustment amount; S4. Combine the thickness compensation amount and the thickness adjustment amount to generate a hydraulic pressing position adjustment command; S5. The hydraulic automatic thickness control system drives the hydraulic cylinder to adjust the roll gap according to the hydraulic pressing position adjustment command.

2. The method for controlling the thickness of aluminum sheet and strip rolling based on thickness data simulation as described in claim 1, characterized in that, Step S2 specifically includes the following process: S21. The roll body is divided into n independent segments along the axial direction. The dynamic model of the thermal expansion of each independent segment is as follows: δ i (t)=a i0 +a i1 (T i -T0)+a i2 v+a i3 F cool +a i4 t+a i5 ·Width+a i6 (T i-1 -T i )+a i7 (T i+1 -T i ); where δ i (t) represents the amount of thermal deformation of the i-th roll body at time t; T i The real-time surface temperature of the i-th roll body is represented by v, where v is the current rolling speed; T0 is the ambient temperature, taken as room temperature; F cool Indicates coolant flow rate; Width indicates the current width of the rolled strip; (T) i-1 -T i ) and (T i+1 -T i ) represents the heat transfer between two adjacent segments; a i0 To a i7 The influence coefficient was determined through fitting. S22. Based on real-time operating data, calculate the thermal deformation of each independent section of the roll body, and calculate the average thermal deformation, which is the roll thermal crown. S23. Based on the thermal crown of the roll, a thickness compensation amount is generated. The calculation formula for the thickness compensation amount is as follows: ΔS compensation =-K comp ×Δh thermal ; In the formula, ΔS compensation Indicates the thickness compensation amount; K comp Δh represents the compensation gain coefficient, used to adjust the magnitude of the compensation amount, and is a constant. thermal This represents the average thermal deformation, i.e., the thermal crown of the roll.

3. The method for controlling the thickness of aluminum sheet and strip rolling based on thickness data simulation as described in claim 1, characterized in that, The specific steps S3 are as follows Includes the following processes: S31. Calculate the current thickness deviation based on the measured thickness of the exported strip and the preset target thickness; S32. Integrate the thickness deviation over time to calculate the cumulative total thickness deviation since the start of rolling or the last zeroing. S33. Construct a thickness dynamic response model to predict the rate of change of thickness deviation over time. The expression for the thickness dynamic response model is as follows: In the formula, e(t) represents the thickness deviation at time t. The value represents the rate of change of thickness deviation at time t; C is the mill stiffness. K represents the rate of change of rolling force, front tension, back tension, and rolling speed, respectively; Tf K Tb K v These represent the sensitivity coefficients for the corresponding terms, determined experimentally. S34. Based on the current thickness deviation, the cumulative total thickness deviation, and the predicted rate of change of thickness deviation, the thickness adjustment amount is calculated using a PID control algorithm, as follows: In the formula, ΔS control Indicates the thickness adjustment amount; K p (t) represents the dynamically adjusted proportional gain; K i K is the integral gain, which is a fixed constant; d E is the differential gain, which is a fixed constant. int (t) represents the cumulative total of thickness deviations at time t.

4. The method for controlling the thickness of aluminum sheet and strip rolling based on thickness data simulation as described in claim 3, characterized in that, The proportional gain K p The dynamic adjustment of (t) switches according to the operating mode, as follows: When the hydraulic automatic thickness control system is in a dynamic phase, or the rate of change of rolling speed exceeds a preset threshold, or the rate of change of rolling force exceeds a preset threshold, K p (t)=K p_high K p_high This is the set value of the proportional gain during the dynamic phase. Conversely, K p (t)=K p_low K p_low The value of the proportional gain during the non-dynamic phase; The dynamic phase includes the steel-biting phase and the steel-throwing phase.

5. The method for controlling the thickness of aluminum sheet and strip rolling based on thickness data simulation as described in claim 4, characterized in that, When the proportional gain K p When switching the value of (t), an exponential decay function is used for smooth transition.

6. The method for controlling the rolling thickness of aluminum sheet and strip based on thickness data simulation as described in claim 1, characterized in that, The thickness compensation amount and the thickness adjustment amount are combined using a linear superposition method, that is: ΔS final =ΔS compensation +ΔS control ; In the formula, ΔS final This is the final adjustment amount.

7. The method for controlling the thickness of aluminum sheet and strip rolling based on thickness data simulation as described in claim 1, characterized in that, The fusion of the thickness compensation amount and the thickness adjustment amount adopts a dynamic weighted superposition method, that is: ΔS final =w(t)·ΔS compensation +(1-w(t))·ΔS control ; In the formula, when the hydraulic automatic thickness control system is in the dynamic stage, or the rolling speed change rate exceeds the preset threshold, or the rolling force change rate exceeds the preset threshold, w(t) takes the first preset range; otherwise, w(t) takes the second preset range.

8. A control system for aluminum sheet and strip rolling thickness based on thickness data simulation, characterized in that, include: The data acquisition module is used to acquire real-time operating condition data during the rolling process. The real-time operating condition data includes rolling force, rolling speed, roll coolant flow rate, inlet strip thickness, outlet strip measured thickness, and roll surface temperature distribution. The thermal expansion compensation module is used to call the dynamic model of roll thermal expansion, calculate the roll thermal crown in real time based on real-time operating data, and generate the thickness compensation amount based on the roll thermal crown. The dynamic response adjustment module is used to call the thickness dynamic response model, calculate the thickness deviation, thickness deviation change rate and cumulative total of thickness deviation of aluminum strip based on real-time working condition data, and use PID control algorithm to calculate the thickness adjustment amount. The adaptive fusion module is used to fuse the thickness compensation amount and the thickness adjustment amount to generate a hydraulic pressing position adjustment command; The execution module is used to receive the hydraulic pressing position adjustment command and drive the hydraulic cylinder of the hydraulic automatic thickness control system to adjust the roll gap.

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