Real-time control method for load torque of roll bending machine based on bee colony algorithm

Abstract

To provide a real-time control method for load torque of a roll bending machine based on a bee colony algorithm.SOLUTION: Data is collected for roll torque and load torque of three rolls using an electronic torque measuring instrument. A mathematical relationship is determined between the roll torque and the load torque on the basis of a plurality of sets of collected data. A target optimization model is determined for a determination variable, a constraint, the roll torque, and the load torque. Target optimization is executed for each input data on the basis of a bee colony algorithm, and an optimal control method is searched for. An end condition of the bee colony algorithm is achieved, an optimization result is output to achieve optimal control for the load torque, and linked outputting of three roll driving forces of a roll bending machine and stable roll bending are achieved. An advantage of high real timeness and algorithm adaptability is provided, and search stability and validness and strong robustness are provided through diversity and self-adaptability on the basis of the bee colony algorithm.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to the technical field of load torque control of a roll bending machine, and in particular to a real-time control method for load torque of a roll bending machine based on a bee colony algorithm. [Background technology]

[0002] As the operating speed of high-speed railway trains increases, the demand for diversified and high-precision processing of aluminum structural components such as high-speed railway side beams is increasing. Roll bending is a bending method used to bend metal plate or tube materials into required shapes, and is usually used to manufacture arc-shaped or curved parts and structures. Aluminum alloy side beams are mainly used to connect the head side walls and floor panels of high-speed railway trains, and head side beams are characterized by a high roll bending elastic modulus. Therefore, the demand for roll bending technology from roll bending machines is increasing.

[0003] In the roll bending of aluminum materials, the rollers apply a force to the aluminum material to deform it into the desired shape. In actual roll bending, factors such as the non-uniformity of the workpiece, changes in processing parameters, and the characteristics of the equipment itself can cause the load torque to be non-uniform or exceed the allowable range during the roll bending process, which can affect the processing quality and equipment stability.

[0004] To solve the above technical problems, this application proposes a load torque control method for a roll bending machine based on a bee colony algorithm. The bee colony algorithm has relatively strong adaptability and can effectively explore parameter space, adapting to complex environments such as the non-uniformity of metal materials, changes in processing parameters, and equipment uncertainty, while also being applicable to finding the optimal load torque control method. By optimizing the control method, the roll bending machine can adapt to various processing conditions and maintain a stable load torque output. Summary of the Invention

[0005] The objective of this invention is to provide a method for real-time control of load torque of a roll bending machine based on a bee colony algorithm. By analyzing the actual roll bending process of aluminum material and mathematically explaining the stress analysis in the roller working process, a decision space and constraint conditions consistent with the actual bee colony algorithm are established, and the bee colony algorithm is applied to the optimal control of load torque. An electronic torque meter is used to measure the roll torque and load torque in real time, and high-precision real-time control of load torque is realized through real-time data feedback. The bee colony algorithm is used to prevent the problems of roller slippage or dragging on the profile caused by inconsistent three-roll coordination, and to maximize the effectiveness of the three-roll coordinated drive.

[0006] To achieve the above objective, the present invention provides a real-time control method for load torque of a roll bending machine based on bee colony algorithm, which includes the following steps: Step S1: Using an electronic torque measuring device, data is collected on the roll torque and load torque of the three rolls during the processing of the three-roll bending machine. Step S2: A comparative analysis is performed on the collected sets of data, data preprocessing is performed, and a mathematical relationship is determined by specifying the relationship between the roll torque and the load in a mathematical formula. Step S3: Establish the decision variables, constraints, and target optimization model of the roll torque and load torque of the three-roll system. Step S4: Based on the improved bee colony algorithm, combine with the data collected by the electronic torque measuring instrument in real time, perform target optimization for each input data, and find the optimal control method. Step S5: The termination condition of the bee colony algorithm is reached, and the optimization result is output to realize the optimal control of the load torque, so as to realize the linked output of the three-roll driving force, which is the driving force of the three-roll bending machine, and stable roll bending processing.

[0007] Preferably, in step S1, the three-roll bending machine is composed of modules such as an upper roller, left and right lower rollers, a servo cylinder, a lower center roller, left and right side rollers, and a support frame. The three-roll bending machine uses an electronic torque measuring device to detect the roll torque and load torque in real time, and performs closed-loop control of the rollers, thereby realizing the coordinated output of the three-roll driving force and stable roll bending.

[0008] Preferably, in step S2, the collected sets of data are compared and analyzed, and data pre-processing is performed to determine the mathematical relationship between the roll torque and the load. The specific process is as follows: S21: Perform stress analysis on the roller. S211: Based on the stress balance during roll bending, the acting forces F2 and F3 on the two lower rollers by the aluminum material are given as follows:

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[0019] Preferably, in step S3, the above steps S1 and S2 are combined to establish a target optimization model of the decision variables, constraints, and roll torque and load torque of the three-roll mill. The specific process is as follows: S31: To achieve stable output of load torque, the decision variable is determined as the speed of the three rolls, and the three decision variables are represented as the upper roller rotation speed V1, the lower left roller rotation speed V2, and the lower right roller rotation speed V3. S32: Based on the actual operating conditions of the equipment, establish constraints for the load torque control problem in the roll bending process. The rolling friction coefficient constraint f between the roller and the load is:

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[0026] Preferably, in step S4, the data collected in real time by the electronic torque measuring device is combined based on the improved bee colony algorithm, and the target optimization is performed for each input data to find the optimal control method. The specific process is as follows: S41: Perform initialization processing on the initial input in the processing process of the three-roll bending machine for aluminum material, where the initialization processing includes initialization of basic information, calculation of fitness, non-dominated sorting, updating of Pareto front, and initialization of neighborhood index. S42: Based on the improved bee colony algorithm, the bee work process includes worker bee process, sentry bee process and scout bee process.

[0027] Preferably, in step S5, the algorithm runs until the maximum number of iterations of the bee colony algorithm is reached, a feasible solution that meets the constraints is found, and an optimization result with small roller power consumption and a small change rate of load torque is output, thereby realizing optimal control of the load torque, and finally realizing coordinated output of the three-roll driving force and stable roll bending.

[0028] According to the above configuration, the present invention adopts a real-time control method for load torque of a roll bending machine based on a bee colony algorithm, and has the following beneficial effects: 1) Strong real-time capability: Using an electronic torque meter, the roll torque and load torque of the three rolls are detected in real time and real-time data is transmitted. 2) High adaptability of the algorithm. The bee colony algorithm has relatively strong adaptability and can effectively search the parameter space, so it can cope with complex environments such as the heterogeneity of metal materials, changes in processing parameters, and equipment uncertainty, and can also be used to find the optimal load torque control method. 3) Robustness. Bee colony algorithms generally have relatively strong robustness and are relatively insensitive to the initial conditions and parameter selection of the problem. In real-time control of load torque, the system may be affected by various external interferences and noises, so the versatility and self-adaptability of the bee colony algorithm can maintain the stability and effectiveness of the search. The technical configuration of the present invention will be described in more detail below with reference to the accompanying drawings and embodiments. [Brief explanation of the drawings]

[0029] [Figure 1] FIG. 2 is a schematic diagram of closed-loop real-time control in the present invention. [Figure 2] FIG. 4 is a stress analysis diagram of a roller in the present invention. [Figure 3] 1 is a flowchart of the bee colony algorithm in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0030] The technical configuration of the present invention will be further explained below with reference to the drawings and embodiments. As shown in FIG. 1, the present invention provides a real-time control method for load torque of a roll bending machine based on bee colony algorithm, which includes the following steps: Step S1: Using an electronic torque measuring device, data is collected on the roll torque and load torque of the three rolls during the processing of the three-roll bending machine. Step S2: A comparative analysis is performed on the collected sets of data, data preprocessing is performed, and a mathematical relationship is determined by specifying the relationship between the roll torque and the load in a mathematical formula. Step S3: Establish the decision variables, constraints, and target optimization model of the roll torque and load torque of the three-roll system. Step S4: Based on the improved bee colony algorithm, combine with the data collected by the electronic torque measuring instrument in real time, perform target optimization for each input data, and find the optimal control method. Step S5: The termination condition of the bee colony algorithm is reached, and the optimization result is output to realize the optimal control of the load torque, so as to realize the coordinated output of the three-roll driving force of the roll bending machine and stable roll bending processing.

[0031] Embodiment Step S1: Using an electronic torque measuring device, data is collected on the roll torque and load torque of the three rolls during the processing of the three-roll bending machine. The three-roll bending machine is composed of modules such as upper rollers, left and right lower rollers, servo cylinders, lower center rollers, left and right side rollers, and support frame. To achieve real-time control of the load torque, it detects the roll torque and load torque in real time and performs closed-loop control on the rollers, achieving coordinated output of the three-roll driving force and stable roll bending. Electronic torque measuring instruments are used to collect roll torque and load torque. Electronic torque measuring instruments have advantages such as high precision, real-time monitoring, non-contact measurement, wide application range, and data recording and analysis. When using an electronic torque measuring instrument to detect roll torque and load torque in real time, the instrument must be calibrated before use. When installing, it is necessary to check whether the connection is firm and the position is appropriate to ensure that the measurement results are accurate and reliable.

[0032] Step S2: A comparative analysis is performed on the collected sets of data, data preprocessing is performed, and a mathematical relationship between the roll torque and the load is determined. S21: First, stress analysis was performed on the roller, as shown in Figure 2. S211: Based on the stress balance during roll bending, the acting forces F2 and F3 on the two lower rollers by the aluminum material are shown as follows:

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[0043] Step S3: Combining the above steps S1 and S2, a target optimization model of the decision variables, constraints, and roll torque and load torque of the three-roll system is constructed. S31: To achieve stable output of load torque, the decision variables are determined as the speeds of the three rolls. The speed of each roller can be considered as one decision variable. Therefore, the three decision variables are represented as the rotation speed of the upper roller (V1), the rotation speed of the lower left roller (V2), and the rotation speed of the lower right roller (V3). S32: Combining the above steps S1 and S2, establish constraints for the load torque control problem in the roll bending process based on the actual operating state of the equipment. The rolling friction coefficient constraint f between the roller and the load is:

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[0050] Step S4: Based on the bee colony algorithm, as shown in Figure 3, combine the data collected by the electronic torque measuring instrument in real time, and perform target optimization for each input data to find the optimal control method. S41: Initialize the population. The initialization process is performed for the initial input in the bending of aluminum material. The initialization steps based on the bee colony algorithm provided by the present invention are as follows: S411: Initialize basic information. Create a population P of a specified size. Each individual object has two attributes that represent the individual's weight in the two optimization objectives. S412: Calculate the fitness. The correlation fitness for each individual is calculated as follows:

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[0053] Step S5: The algorithm reaches the maximum iteration number of the bee colony algorithm, finds a feasible solution that meets the constraints, satisfies the requirements of small roller power consumption and small load torque change rate, and outputs the optimization result to realize the optimal control of the load torque, and finally realizes the coordinated output of the three-roll driving force and stable roll bending.

[0054] Therefore, the present invention adopts a real-time control method for load torque of a roll bending machine based on the bee colony algorithm. By analyzing the actual bending process of aluminum material and mathematically explaining the stress analysis during the roller work process, a decision space and constraints consistent with the actual bee colony algorithm are established, and the bee colony algorithm is applied to optimal control of load torque. An electronic torque meter is used to measure roll torque and load torque in real time, providing real-time data feedback and real-time control of load torque with higher accuracy. The bee colony algorithm is used to prevent roller slippage or drag on the profile caused by inconsistent three-roll linkage, and maximize the effectiveness of the three-roll linkage drive.

[0055] Finally, it should be noted that the above embodiments only illustrate the technical solution of the present invention, and do not limit it, and although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solution of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A real-time control method for load torque of a roll bending machine based on bee colony algorithm, comprising: Step S1: Use an electronic torque measuring device to collect data on the roll torque and load torque of the three rolls during the processing of the three-roll bending machine; Step S2: Perform comparative analysis on the collected sets of data, perform data preprocessing, and determine a mathematical relationship between the roll torque and the load, which is embodied in a mathematical formula; Step S3: Establish the decision variables, constraints, and target optimization models of the roll torque and load torque of the three-roll system; Step S4: Based on the improved bee colony algorithm, combine with the data collected by the electronic torque measuring instrument in real time, perform target optimization for each input data, and find the optimal control method; Step S5: The termination condition of the bee colony algorithm is reached, and the optimization result is output to realize the optimal control of the load torque, and the linked output of the three-roll driving force, which is the driving force of the three-roll bending machine, and the stable roll bending process are realized; A real-time control method for load torque of a roll bending machine based on a bee colony algorithm, comprising the above steps.

2. 2. The method for real-time control of load torque of a roll bending machine based on a bee colony algorithm according to claim 1, characterized in that in step S1, the three-roll bending machine is composed of modules such as an upper roller, left and right lower rollers, servo cylinders, a lower center roller, left and right side rollers and a support frame, and an electronic torque measuring device is used to detect the roll torque and load torque in real time, and a closed-loop control is performed for the rollers, so as to achieve the coordinated output of the three-roll driving force and stable roll bending.

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5. In step S4, based on the bee colony algorithm, the data collected by the electronic torque measuring instrument in real time is combined, and the target optimization is performed for each input data to find the optimal control method. The specific process is as follows: S41: Perform initialization processing on the initial input in the processing process of the three-roll bending machine for aluminum material, the initialization processing including: initialization of basic information, calculation of fitness, non-dominated sorting, updating of Pareto front, and initialization of neighborhood index; S42: Based on the improved bee colony algorithm, the bee work process includes a worker bee process, a sentry bee process, and a scout bee process. This is the real-time control method for the load torque of a roll bending machine based on the bee colony algorithm, as described in claim 1.

6. In step S5, the algorithm runs to the maximum iteration number of the bee colony algorithm, finds a feasible solution that meets the constraints, and the power consumption of the rollers is small and the rate of change of the load torque is small. The optimization result is output to realize the optimal control of the load torque, and finally realize the coordinated output of the three-roll driving force and stable roll bending.

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