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Robust Fuzzy Predictive Control Method for Asynchronous Switching Process of Nonlinear Injection Molding

An injection molding, fuzzy prediction technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems affecting control performance, the controller cannot perform optimal control, model deviation, etc., to improve production. The effect of efficiency

Active Publication Date: 2022-04-19
LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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Problems solved by technology

[0005] At present, the mainstream control method for the asynchronous switching process of injection molding is the iterative learning method. Under ideal conditions, this control method can effectively control the multi-stage batch process. The control effect of learning will be greatly reduced
For nonlinear systems, the method of linearizing the model is often used, but this method will cause large deviations in the model, affect the control performance, and make the controller unable to perform optimal control.

Method used

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  • Robust Fuzzy Predictive Control Method for Asynchronous Switching Process of Nonlinear Injection Molding
  • Robust Fuzzy Predictive Control Method for Asynchronous Switching Process of Nonlinear Injection Molding
  • Robust Fuzzy Predictive Control Method for Asynchronous Switching Process of Nonlinear Injection Molding

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Embodiment 1

[0186] Plastic products are widely used in daily life due to their low cost and strong plasticity. The plastic industry occupies a very important position in today's world. In recent years, the production technology of plastic products has developed rapidly. As one of the important methods of plastic product processing, injection molding has been more and more widely used in the production of plastic products due to its advantages of fast production speed, high efficiency, accurate product size, and easy replacement.

[0187] It is well known that the injection molding process is a common nonlinear multi-stage batch process. figure 1 It is the physical picture of the reciprocating screw injection molding machine, figure 2 In the figure, a is injection, b is pressure holding, c is cooling and d is demoulding. The injection and pressure holding stages have a great influence on the product quality. In order to ensure the uniform filling of the material in the injection stage,...

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Abstract

Aiming at the robust fuzzy predictive control method of nonlinear injection molding asynchronous switching process, which belongs to the field of industrial process control, the method includes the following steps: Step 1: Establish a state space model of nonlinear injection molding asynchronous switching system; Step 2: Through fuzzy Criterion, the state space model of the nonlinear injection molding asynchronous switching system is established as a T‑S fuzzy state space model; Step 3: Transform the T‑S fuzzy state space model of the nonlinear injection molding asynchronous switching system into an extended T‑S S fuzzy state-space model; Step 4: Design a controller based on the extended T‑S fuzzy state-space model of the nonlinear injection molding asynchronous switching system; Step 5: Calculate the controller gain Step 6: Calculate the average dwell time of each stage ; The present invention can effectively avoid the influence of the model mismatch problem caused by model linearization on the control effect of the injection molding system.

Description

technical field [0001] The invention belongs to the field of advanced control of industrial processes and relates to a robust fuzzy predictive control method for the asynchronous switching process of nonlinear injection molding. Background technique [0002] With the development of the economy and the increase of the variety of products, a batch process with repeatability and high control precision has appeared in the modern process industry, such as injection molding, pharmaceutical and food production. Due to the complexity of the batch process and the ever-increasing requirements for control accuracy, traditional control methods have limitations. [0003] On the one hand, when the switching system switches between different stages, there is a situation that the controller cannot switch in time, and at this time the controller of the previous stage cannot control the next stage well. In previous studies, the control method for the multi-stage batch asynchronous switching ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 施惠元彭博苏成利文馨李平李辉于晶贤
Owner LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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