Whole equipment control device, rolling mill control device, control method, and storage medium

A technology of a complete set of equipment and control methods, which is applied in the field of storage media with programs, can solve problems such as difficult to output control accuracy, find control rules, and difficult to modify control rules, so as to cope with changes over the years, improve control accuracy, and shorten start-up The effect of the period

Active Publication Date: 2018-10-23
HITACHI LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] When the control rules do not conform to reality due to changes in operating conditions, etc., it is difficult to output a certain degree of control accuracy because the control rules are fixed.
In addition, once the shape control is in motion, the operator does not perform manual operation (interfering with the control), so it is difficult to find a new control rule through the manual intervention of the operator.
Furthermore, when rolling a new standard rolling material, it is difficult to set a control rule corresponding to the material.
[0007] As described above, in conventional shape control, control is performed using preset control rules, so there is a problem that it is difficult to correct the control rules.

Method used

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  • Whole equipment control device, rolling mill control device, control method, and storage medium
  • Whole equipment control device, rolling mill control device, control method, and storage medium
  • Whole equipment control device, rolling mill control device, control method, and storage medium

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Embodiment 1

[0071] figure 1 The outline of the plant control device according to the embodiment of the present invention is shown. figure 1 The whole set of equipment control device includes: the whole set of equipment 1 of the control object; the control execution device 20, which inputs the actual data Si from the whole set of equipment 1 of the control object, according to the following Figure 6 The control operation amount output SO determined by the exemplified control rule (neural network) is provided to the controlled plant 1 for control; the control method learning device 21 inputs actual data Si from the controlled plant 1 to perform learning, and the learned The output control rules are reflected in the control rules in the control execution device 20; a plurality of databases DB (DB1 to DB3); and the management table TB of the database DB.

[0072] The control execution device 20 is composed of a control input data creation unit 2, a control rule execution unit 10, a contro...

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PUM

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Abstract

The invention relates to a whole equipment control device, a rolling mill control device, a whole equipment control method, a rolling mill control method, and a storage medium with program. The stateof whole equipment will not deteriorate, and optimal operation method aiming at practical data is learned. The control is carried out by the whole equipment control device based on the mode of combined practical data of the whole equipment. The whole equipment control device comprises a control method learning device, which learns the combination of practical data and control operation of whole equipment (control object); and a control execution device, which executes the control of the whole equipment based on the learned combination of practical data and control operation. The control execution device comprises a control rule execution part, a control output determination part, and a control output inhibition part. The control method learning device comprises a control result good-bad judging part, a learning data manufacturing part, and a control rule learning part.

Description

technical field [0001] The present invention relates to a whole set of equipment control device and its control method, a rolling mill control device and its control method, and a storage medium storing programs in real-time feedback control using artificial intelligence technologies such as neural networks. Background technique [0002] Conventionally, plant control based on various control theories has been carried out in order to obtain desired control results in various plants. [0003] As an example of a plant, for example, in rolling mill control, as an example of control, fuzzy control and neuro-fuzzy control are applied as a control theory for shape control that controls the undulation state of a plate. Fuzzy control was applied to shape control using coolant, and neuro-fuzzy control was applied to shape control of Sendzimir rolling mill. Among them, as shown in Patent Document 1, the similarity ratio between the difference between the actual shape pattern detected ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B21B37/00
CPCB21B37/00
Inventor 服部哲高田敬规田内佑树
Owner HITACHI LTD
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