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Two-dimensional data driving optimal tracking control method for unknown dynamic injection molding process

A technology of injection molding and tracking control, which is applied in the direction of adaptive control, general control system, control/regulation system, etc. It can solve the problems that the system cannot be modeled accurately and reduce model dependence.

Active Publication Date: 2021-05-28
LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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Problems solved by technology

[0004] The present invention is aimed at the injection molding process with unknown system dynamics, and proposes a data-driven optimal tracking control method under a two-dimensional framework. This method can effectively solve the problem that the system cannot be accurately modeled and reduce the model dependence of the system , only rely on the data in the time direction and batch direction to continuously learn, get the optimal control law, and track the set value well, improve the control and tracking performance of the system

Method used

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  • Two-dimensional data driving optimal tracking control method for unknown dynamic injection molding process
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  • Two-dimensional data driving optimal tracking control method for unknown dynamic injection molding process

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Embodiment 1

[0093] As a typical batch process, injection molding plays an important role in the plastic products industry. It has the characteristics of high production efficiency, high degree of automation, and high processing precision, and is widely used in automotive, electrical, communication, aerospace and other fields. The magnitude of pressure has an important influence on the density distribution of plastic materials, that is, the part with high pressure is relatively compact, while the part with low pressure is relatively loose. Therefore, it is very important to control the nozzle pressure through the size of the valve opening during the pressure-holding stage of injection molding. In this section, the proposed control method is used to control the two parameters of this stage.

[0094] On the basis of a large number of experiments, the relationship between the nozzle pressure (NP) and the valve opening (VO) during the pressure holding stage of the two-dimensional injection mo...

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Abstract

The invention discloses a two-dimensional data driving optimal tracking control method for an unknown dynamic injection molding process, and belongs to the technical field of industrial process control. The method specifically comprises the following steps: 1, establishing a state space model of the unknown dynamic two-dimensional injection molding process; 2, converting the constructed two-dimensional injection molding process state space model into a new augmented state space model; 3, designing a controller of a two-dimensional augmented state space model with an unknown dynamic injection molding system; 4, designing a control law and controller gains K1 and K2; 5, solving controller gains K1 and K2 through a Q learning algorithm. According to the method designed by the invention, the problems of difficulty in modeling in an unknown dynamic injection molding process, repeatability and other complex characteristics can be effectively avoided, and by adopting a data driving mode, the model dependence of the system is greatly reduced, and the calculation cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of industrial process control, and in particular relates to a two-dimensional data-driven optimal tracking control method for an unknown dynamic injection molding process. Background technique [0002] With the development of the market economy, product production tends to be more and more high-quality and small-batch. Therefore, the intermittent production process with small capacity and high added value to meet customer performance requirements has become a research hotspot and is widely used in medicine. Production and preparation of products, chemical raw materials and plastic products. As a typical batch production process, the injection molding process in the plastic products industry has strong nonlinearity, repetitive characteristics and model complexity, which makes it difficult to carry out accurate mathematical modeling of this process. Therefore, the traditional control method is usually difficu...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 施惠元文馨苏成利姜雪莹彭博杨晨李平
Owner LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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