Towards finding the appropriate level of abstraction to model and verify automated production systems in discrete event simulation

Thomas Aicher, Sebastian Rehberger, Birgit Vogel-Heuser

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Developing complex automated production systems (aPS) by integrating different engineering disciplines, e.g. electrical/electronic, mechanical or software engineering, is a rising challenge for plant manufacturing. Hence, different approaches for virtual commissioning and validating aPS have been developed in the past. Among other approaches, concepts for model verification based on discrete event systems (DES) and formal verification techniques, e.g. model checking, of aPS are commonly investigated. This paper intends to analyze and assess the appropriate level of abstraction for modeling aPS containing complex mechatronic phenomena in DES required to enable formal verification of an aPS' characteristics. For example, the modeling of the gear backlash between a handling component and its electrical drive as a possible consequence of worn gear/spindle inside a simple lab-size aPS is considered.

Original languageEnglish
Title of host publication2015 IEEE Conference on Automation Science and Engineering
Subtitle of host publicationAutomation for a Sustainable Future, CASE 2015
PublisherIEEE Computer Society
Pages1048-1053
Number of pages6
ISBN (Electronic)9781467381833
DOIs
StatePublished - 7 Oct 2015
Event11th IEEE International Conference on Automation Science and Engineering, CASE 2015 - Gothenburg, Sweden
Duration: 24 Aug 201528 Aug 2015

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2015-October
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference11th IEEE International Conference on Automation Science and Engineering, CASE 2015
Country/TerritorySweden
CityGothenburg
Period24/08/1528/08/15

Keywords

  • MATLAB/Simulink
  • automated production system (aPS)
  • formal models
  • model checking
  • modeling
  • simulation

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