Synergy of multi-modelling for process control

被引：19
作者：
Beregi, Richard [1 ,2 ]
Szaller, Adam [1 ,2 ]
Kadar, Botond [1 ]
机构：
[1] Hungarian Acad Sci, Inst Comp Sci & Control, Ctr Excellence Prod Informat & Control, Kende Str 13-17, H-1111 Budapest, Hungary
[2] Budapest Univ Technol & Econ, Dept Mfg Sci & Engn, Muegyet Rkp 3, H-1111 Budapest, Hungary
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 11期
关键词：
digital twin; forecasting; multimethod modelling; discrete event-based simulation; agent based simulation; error handling; CYBER-PHYSICAL SYSTEMS;
D O I：
10.1016/j.ifacol.2018.08.473
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a multi-modelling experiment is presented through which we have studied the possibilities of manufacturing process control supported by different digital simulation models. The main pillar of the study is a real, operating, research and demonstration cyber-physical production system which is detailed in the study. Our digital twin of the system in question includes two different virtual models; an agent-based model endowed with the ability of error handling, and a discrete-event simulation-based model for forecasting and supporting the error handling routine with evaluating bids. The experiment includes typical manufacturing processes with machine failures, which should be detected and recognized to invoke both simulations for re-forecast and error management. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1023 / 1028
页数：6
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