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A Constrained 2D Tracking Control Method for Uncertain Batch Processes

An uncertainty, tracking control technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as the increase of system state deviation, solve the problem of increasing with time, solve the real-time correction of control law Effect

Active Publication Date: 2020-09-04
LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention proposes a predictive control method for intermittent processes with uncertainties. By combining with robust iterative learning control, it effectively solves the problems of system state deviation increasing with time and control law real-time correction

Method used

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  • A Constrained 2D Tracking Control Method for Uncertain Batch Processes
  • A Constrained 2D Tracking Control Method for Uncertain Batch Processes
  • A Constrained 2D Tracking Control Method for Uncertain Batch Processes

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Embodiment

[0139] The injection molding process is a typical batch process. The injection speed in the injection stage, the holding pressure in the holding stage, and the melt temperature in the plasticizing stage are all key factors affecting the final quality of the product. These parameters must be controlled stably and accurately to ensure the quality of the product.

[0140] Among them, the pressure holding stage is an important stage to determine the product quality. At this stage, due to the cooling effect of the low-temperature mold, the injection nozzle still needs to maintain a certain pressure in order to prevent the melt in the cavity from flowing backwards and shrinking due to the cooling of the melt. Therefore, nozzle pressure is the most important controlled variable at this stage, and this pressure is also called holding pressure.

[0141] For the injection molding process with non-repetitive disturbance, experiments were carried out through the pressure-holding stage, a...

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Abstract

The invention aims at an intermittent process with uncertainty, and proposes a constrained 2D tracking control method for the uncertainty intermittent process. The constrained 2D tracking control method comprises the steps of: firstly, designing an iterative learning control law for a given system dynamic model; secondly, converting the original system dynamic model into a 2D-FM closed-loop systemmodel expressed in the form of a predictive value according to a 2D system theory and the designed iterative learning control law through introducing state errors and output errors; and finally, giving a sufficient condition expressed in the form of a linear matrix inequality (LMI) for ensuring robust asymptotic stability of a closed-loop system and an expression form of the optimal control law according to a designed infinite time domain performance index and a Lyapunov stability theory. According to the constrained 2D tracking control method, numerical values of tracking errors under the control of the constrained 2D tracking control method are smaller, and the convergence is faster; more importantly, the control input does not drastically fluctuate and only require slight adjustment, thereby being conducive to resource conservation and reducing troubles caused by frequent operations.

Description

technical field [0001] The invention belongs to the advanced control field of industrial processes, and relates to a constrained 2D tracking control method for uncertain intermittent processes. Background technique [0002] Batch process has become one of the most important production methods in modern manufacturing industry. With the increase of production scale and complexity of production steps, the uncertainty in actual production has become increasingly prominent, which not only affects the efficient and stable operation of the system , and even threaten the quality of the product. [0003] Although the robust iterative learning control strategy adopted at this stage can effectively resist the uncertainty in the production process, improve the stability of the system, and improve the control performance of the system, but the control law is obtained based on the entire production process. In terms of control effect, it belongs to the optimal control covering the whole ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/02G05B13/04
CPCG05B13/0265G05B13/042G05B13/048
Inventor 王立敏申毅腾于晶贤李平张日东
Owner LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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