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Comprehensive forecast and iterative learning control method based on 2D theory

A technology of iterative learning control and comprehensive prediction, applied in the direction of program control, comprehensive factory control, comprehensive factory control, etc., can solve problems such as inaccurate intermittent processes

Inactive Publication Date: 2015-01-28
TSINGHUA UNIV
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Problems solved by technology

[0008] The purpose of the present invention is to propose a comprehensive predictive iterative learning control method based on 2D theory, which can control the quality of the final product in the batch process well for the problems of inaccurate batch process and noise in the process

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  • Comprehensive forecast and iterative learning control method based on 2D theory
  • Comprehensive forecast and iterative learning control method based on 2D theory
  • Comprehensive forecast and iterative learning control method based on 2D theory

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Embodiment Construction

[0049] The comprehensive predictive iterative learning control method based on 2D theory proposed by the present invention comprises the following steps:

[0050] 1) Combined with the actual production process, set up a batch production data collection and storage link, which can use the existing industrial control computer, PLC and other equipment of the production enterprise;

[0051] 2) According to the past production process data in the collected production history database, after data preprocessing, adopt an appropriate method to establish a simple mathematical model of the production process;

[0052] 3) The data acquisition link collects the input and output data of product processing in the industrial production line, and calculates the tracking error curve according to the target tracking trajectory;

[0053] 4) According to the tracking error obtained in step 3), a new real-time control quantity is calculated by using an integrated predictive iterative learning cont...

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Abstract

The invention relates to a comprehensive forecast and iterative learning control method based on the 2D theory, and belongs to the technical field of industrial production automatic control. According to the control method, as for most batch processing, manufacturing and producing processes, a two-dimensional system model including time and batch is built, a mode based on 2D system response description is adopted to obtain an output forecast value, and control correction is further calculated by means of the comprehensive forecast and iterative learning control method. The method is particularly suitable for the situation that the controlled process has random noise, is suitable for product quality tracking control in the intermittent producing and processing process, is ingenious in concept, simple, practical and capable of being widely used in high-precision track curve tracking control in the intermittent production process of an industrial production line.

Description

technical field [0001] The invention relates to a comprehensive predictive iterative learning control method based on 2D theory, especially for the situation that the controlled process has random noise, and is suitable for product quality tracking control of intermittent production and processing processes, belonging to the technical field of industrial production automation control. Background technique [0002] The batch production process is a production method in which the manufacturing process is repeated in batches, and there is a certain intermittent time between batches. In the industrial fields of biological products, pharmaceutical production, fine chemicals, semiconductor integrated circuits, etc., batch process production is widely used, and occupies a dominant position in small batch, multi-variety and high value-added industrial products. In order to ensure the high quality of products and the stability and quality of their products, process control is particu...

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Application Information

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IPC IPC(8): G05B19/418G06F17/30
CPCG05B19/41885Y02P90/02
Inventor 熊智华陈宸公衍海
Owner TSINGHUA UNIV
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