文章基本信息

标题：Intelligent control system for minced meat production
本地全文：下载
作者：Boris Kapovsky ; Alexander Zakharov ; Marina Nikitina 等
期刊名称：Potravinarstvo : Scientific Journal for Food Industry
印刷版ISSN：1338-0230
电子版ISSN：1337-0960
出版年度：2020
卷号：14
页码：750-758
DOI：10.5219/1342
出版社：Association HACCP Consulting
摘要：This article presents the theoretical aspects of developing a control system for the processing of frozen raw meat by cutters in automatic mode. The method for analytical calculation of the productivity rate of meat cutting by a cutter with a screw tooth provides an accuracy for which relative error does not exceed 6%. The authors show automatic process control in minced meat production using a control system computer (CSC), with the aim of building an automatic control system (ACS) for chopping raw materials frozen in the form of blocks. The task of ACS synthesis was solved: the system structure and its elements were chosen, the topology of their cause-and-effect relationships and an algorithm of control devices were developed, and their parameters were determined. The ACS’s control loop scheme for raw material cutting speed was realized, where an assembly of devices was chosen as the object of management (OM): the squirrel cage induction motor (SCIM) of the cutting mechanism drive; the frequency converter (FC) of the supply voltage, which changes the rotation speed of the SCIM (the rotation speed of the milling cutter); and the milling cutter of the chopper. The shaping filter method was used, to predict the size of the meat chips produced, to modulate the perturbation acting on the system from the load side. Based on the single-stage chopping of raw meat, an automatic line is created for producing meat products, with a minced meat quality management system based on artificial intelligence on the principle of ‘unmanned technology’.
关键词：automation of sausage production;innovative approach;minced meat production;machine control
其他关键词：machine control