A control method and system for an insulation material production line

CN122064059BActive Publication Date: 2026-06-23HENAN XINYING PLASTICS CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HENAN XINYING PLASTICS CO LTD
Filing Date
2026-04-23
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Traditional model predictive control algorithms suffer from model mismatch during the transition period of insulation material production lines due to rheological abrupt changes, resulting in extreme control commands and material degradation, which affects control accuracy.

Method used

By constructing transient specific energy index, dynamic thinning coefficient and state matrix mismatch correction factor, the system matrix is ​​dynamically adjusted to achieve adaptive model predictive control and output optimal control command.

Benefits of technology

It improves the control precision and stability of the insulation material production line during the transition period, reduces waste generation, and ensures material quality and production efficiency.

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Abstract

The application relates to the technical field of industrial control, in particular to a control method and system of an insulating material production line. The method comprises the following steps: acquiring initial operation data of the insulating material production line in real time; calculating a transient specific energy index in combination with a standard plasticization reference absolute temperature; extracting a pressure change rate by performing smooth filtering on a time differential item of a head melt pressure; deducing a dynamic thinning coefficient in combination with the transient specific energy index, a value at a previous sampling moment, the pressure change rate and the head melt pressure; constructing a state matrix mismatch correction factor based on the dynamic thinning coefficient, a historical maximum thinning limit value of a sliding data window and a standard steady-state thinning reference value; and performing adaptive model predictive control to output an optimal control instruction by using the correction factor to target correct a discrete state space model system matrix. The application can effectively solve the mismatch problem of a static model under a nonlinear mutation condition, improve control precision and reliability, and guarantee stable and efficient operation of the production line.
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