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On-line control method and system for pressing process of forging press

A technology of pressing process and control method, which is applied to the driving device of forging press, etc., can solve the problems of uncontrollable system stability and achieve the effect of ensuring system stability and improving efficiency

Active Publication Date: 2020-09-18
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] To this end, it is necessary to provide an online control method that combines data and models suitable for high-precision forging machines, to solve the problem that traditional methods cannot control the stability of the system during the learning process, to improve the learning efficiency of online reinforcement learning, and to reduce the computational complexity. quantity

Method used

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  • On-line control method and system for pressing process of forging press
  • On-line control method and system for pressing process of forging press
  • On-line control method and system for pressing process of forging press

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0112] Example 1: Low constant speed state

[0113] The pressing speed of the slider is set to 0.03mm / s. Since the pressing speed is very slow, the oil flow required in the upper chamber of the hydraulic cylinder is less, and the proportional servo valve has a large diameter loss pressure due to the small opening. Therefore, the opening of the proportional servo valve is a compromise between the working pressure of the hydraulic cylinder and the pressure loss of the servo valve. Since the tabu search, as a kind of random search, will show a certain degree of randomness, this embodiment tests the pressing process 5 times, Figure 2a is the velocity diagram, Figure 2b It is a schematic diagram of the output of the controller, and different colors represent various tests.

[0114] from Figure 2b It can be seen that each curve is not completely covered, which reflects that the control value of the method of the present invention is not completely consistent each time, Figur...

Embodiment 2

[0116] Embodiment 2: variable speed state

[0117] The speed is set to 0.08mm / s from the beginning, after 0.04mm / s, the final output is 0.06mm / s, the process description is shown in formula (17)

[0118]

[0119] The present embodiment was repeated 5 times to test the application effect of the recommended method, Figure 3a is the schematic diagram of the speed of the pressing process under the variable speed state; Figure 3b is the output schematic of the controller.

[0120] from Figure 3a It can be seen that each curve can track the set speed well during different speed changes. The speed setting value is 0.08 during the period of 1-30, the maximum peak value is 0.0812 at the 5th time, and the minimum value is 0.0788; at 50 The speed setting value during -80 is 0.04, the maximum peak value 0.0406 occurs at the 3rd time, the minimum value is 0.0394, which occurs at the 1st, 2nd, 3rd and 4th time; during the period of 80-100, the speed setting value is 0.06, the maxim...

Embodiment 3

[0123] Example 3: Effect of sampling period

[0124] This example tests the speed impact of the proposed method at different sampling period lengths. The sampling period is selected as 1-5 minutes, and the reference speed is selected as 0.04mm / s. The obtained results are as follows Figure 4a with 4b shown. The controller randomly selects actions at the beginning, and then performs automatic control according to the on-line control method of the present invention. Figure 4a The curves in represent the slider pressing speed at different sampling periods, Figure 4b It reflects the output of the controller under different sampling periods. It can be seen from the figure that different sampling periods have a greater impact on the transient process. The shorter the sampling period, the shorter the duration of the transient process; the longer the sampling period, the longer the transition time. The main reason is that the control quantity obtained by the recommended method ...

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Abstract

The invention discloses an on-line control method and system for the pressing process of a forging press. The on-line control method comprises the steps: 1, sampling point state information of a firstmoment is obtained, the opening degree controlling quantity of an adjusting mechanism is selected at random, sampling point state information of a second moment is obtained, the difference between absolute values of the actual speed and the set speed of the two moments is calculated, and an instantaneous reward value is obtained; 2, the overall value of the pressing process is estimated, and timeseries errors of the two moments are obtained; 3, the relation of the controlling quantity and the state variable in the pressing process is derived, an optimal value of the opening degree of the adjusting mechanism under a current state is obtained through a tabu algorithm, and thus the piston change is further caused; and 4, step 3 is returned and repeatedly executed for convergence till a value of the opening degree controlling quantity of the adjusting mechanism is not changed any more. On-line control over the forging press is achieved through combination of reinforcement learning and tabu search, reliance on model accuracy is reduced, and meanwhile the working efficiency is improved.

Description

technical field [0001] The invention belongs to the field of on-line control of forging presses, and in particular relates to an on-line control method and a control system suitable for the pressing process of high-precision forging presses. Background technique [0002] Existing forging hydraulic presses adopt high-precision control methods such as sliding mode control and adaptive control to realize quality control of forgings, thereby reducing the difficulty of subsequent machining processes. However, its control effect is greatly affected by the accuracy of the model, and with the extension of the model's service life, the model will be inaccurate, which will cause the control accuracy to fail to meet the functional requirements. How to find a method that can automatically adapt to environmental changes? The matching control method is an urgent problem to be solved. [0003] Although the existing data acquisition system and smart sensor technology can conveniently obtai...

Claims

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Application Information

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IPC IPC(8): B21J9/20
CPCB21J9/20
Inventor 张大鹏高志伟
Owner TIANJIN UNIV
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