Robust fuzzy prediction control method for nonlinear injection molding asynchronous switching process

A technology of injection molding and fuzzy prediction, applied in the direction of adaptive control, general control system, control/adjustment system, etc., can solve the problems that the controller cannot perform optimal control, the effect of iterative learning control is reduced, and the control performance is affected
CN112180738AActive Publication Date: 2021-01-05LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
Publication Date
2021-01-05

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Abstract

A robust fuzzy prediction control method for a nonlinear injection molding asynchronous switching process belongs to the field of industrial process control, and comprises the following steps: 1, establishing a state space model of a nonlinear injection molding asynchronous switching system; 2, establishing a state space model of the nonlinear injection molding asynchronous switching system into aTS fuzzy state space model through a fuzzy criterion; 3, converting the built TS fuzzy state space model of the nonlinear injection molding asynchronous switching system into an extended TS fuzzy state space model; 4, designing a controller of the extended TS fuzzy state space model based on the nonlinear injection molding asynchronous switching system; 5, calculating the gain of the controller;6, calculating the average residence time of each stage. According to the invention, the influence of model mismatch caused by model linearization on the control effect of the injection molding systemcan be effectively avoided.
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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 ...

Claims

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