Increasing adaptability of automation control software for automated material flow systems via software modularization

Julia Prieler, Thomas Aicher, Birgit Vogel-Heuser

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

Abstract

Shorter innovation cycles along with the demand for individualized, high-quality products pose high challenges on today's automated material flow systems. These systems, suitable for producing bulk goods, but inflexible in case of product changes, need to react flexibly to unplanned configurations. Especially in the software domain retroactive adaptations are tedious work and prone to errors. By deploying object-oriented programming methods in IEC 61131-3, the modularity already existing in the hardware domain of automated material flow systems could be transferred into the software domain. To meet the demands of automated material flow systems, the modular software remains centralized and executable on programmable logic controllers. In this paper a concept is introduced which facilitates the retroactive addition or removal of sensors or actuators in automated material flow systems based on object-oriented programming methods.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3951-3956
Number of pages6
ISBN (Electronic)9781538611272
DOIs
StatePublished - 15 Dec 2017
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 29 Oct 20171 Nov 2017

Publication series

NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume2017-January

Conference

Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Country/TerritoryChina
CityBeijing
Period29/10/171/11/17

Fingerprint

Dive into the research topics of 'Increasing adaptability of automation control software for automated material flow systems via software modularization'. Together they form a unique fingerprint.

Cite this