Cooperative control method for intelligent manufacturing system

A technology of intelligent manufacturing and collaborative control, which is applied in the general control system, control/regulation system, adaptive control, etc., can solve problems such as the impact of product stability, reduce the amount of information communication and calculation, enhance scalability, very robust effect

Active Publication Date: 2018-12-18
GUANGDONG UNIV OF TECH
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Problems solved by technology

However, at present, the whole process requires manual adjustment of various process parameters (time, temperature, pressu

Method used

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  • Cooperative control method for intelligent manufacturing system
  • Cooperative control method for intelligent manufacturing system
  • Cooperative control method for intelligent manufacturing system

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Experimental program
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Embodiment

[0039] Please refer to figure 1 , a collaborative control method for an intelligent manufacturing system, comprising the following steps:

[0040] S1. Collect the status, input and output data of each production equipment in the intelligent manufacturing system;

[0041] The collection of various production equipment data in the intelligent manufacturing system includes injection molding intelligent equipment, manipulators (robots), conveyor belts, monitoring devices, grinding devices and other processing, monitoring, transmission equipment input, output, and state data collection, while injection molding intelligence The equipment also includes subsystems such as injection, film lamination, pressure holding, cooling, pre-molding, mold opening, and pick-up. The data collection of each production equipment: we collect the input of each production equipment through sensors or from servo drives (PLC / DSP) , output and state data, assuming that the input of the current equipment i...

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Abstract

The invention discloses a cooperative control method for an intelligent manufacturing system, which comprises the steps as follows: acquiring state, input and output data of each production equipmentin the intelligent manufacturing system; according to the state, input and output data of the equipment, obtaining a dynamic error of the equipment at a certain moment; based on the dynamic error, obtaining an evaluation function of the equipment by utilizing a performance index function in an optimality principle; obtaining an optimal parameter which meets the evaluation function by utilizing a neural network algorithm; and according to the optimal parameter, carrying out setting control on the equipment. According to the invention, based on knowledgeability and automation, each intelligent equipment has a reinforcement signal determined by all adjacent production equipment, and influence of outside interference and equipment condition changes on the intelligent manufacturing system can be adaptively eliminated, so that the intelligent manufacturing system has good robustness.

Description

technical field [0001] The invention relates to the technical field of intelligent manufacturing, in particular to a collaborative control method for an intelligent manufacturing system based on injection molding equipment. Background technique [0002] The implementation of the Made in China 2025 strategy focuses on intelligent manufacturing, which is based on intelligent equipment. Facing the contradiction between high labor costs and the huge demand for labor in traditional manufacturing, the construction of unmanned or less-managed A modern and intelligent factory, reducing dependence on people, is a feasible technical route to solve the current contradiction. [0003] There are very few companies in China's injection molding equipment industry that have their own intelligent control systems, and most of the injection molding equipment companies purchase injection molding equipment intelligent control systems directly from third parties. At present, there are very few d...

Claims

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Application Information

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IPC IPC(8): G05B13/04G05B19/418
CPCG05B13/027G05B13/042G05B19/418Y02P90/02
Inventor 鲁仁全刘芬徐雍李鸿一李攀硕
Owner GUANGDONG UNIV OF TECH
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