Synergy of multi-modelling for process control

Richárd Beregi, Ádám Szaller, B. Kádár

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1023-1028
Number of pages6
JournalIFAC-PapersOnLine
Volume51
Issue number11
DOIs
Publication statusPublished - Jan 1 2018

Fingerprint

Process control
Discrete event simulation
Demonstrations
Experiments

Keywords

  • agent-based simulation
  • digital twin
  • discrete event-based simulation
  • error handling
  • forecasting
  • multimethod modelling

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Synergy of multi-modelling for process control. / Beregi, Richárd; Szaller, Ádám; Kádár, B.

In: IFAC-PapersOnLine, Vol. 51, No. 11, 01.01.2018, p. 1023-1028.

Research output: Contribution to journalArticle

Beregi, Richárd ; Szaller, Ádám ; Kádár, B. / Synergy of multi-modelling for process control. In: IFAC-PapersOnLine. 2018 ; Vol. 51, No. 11. pp. 1023-1028.
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