Publication:
Orchestration of services in modular process plants

cris.customurl14931
cris.virtual.departmentAutomatisierungstechnik
cris.virtual.departmentAutomatisierungstechnik
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cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
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dc.contributor.authorBloch, Claus Henry
dc.contributor.authorGrebner, Tobias
dc.contributor.authorFay, Alexander
dc.contributor.authorHensel, Stephan
dc.contributor.authorMenschner, Anna
dc.contributor.authorUrbas, Leon
dc.contributor.authorHoernicke, Mario
dc.contributor.authorKnohl, Torsten
dc.contributor.authorBernshausen, Jens
dc.date.issued2018-12-26
dc.description.abstractModularization of process plants is seen as one approach to face the increasing flexibility requirements in the process industry. Therefore, modules are combined to a modular process plant to achieve a higher flexibility of the production. Conventional distributed control systems do not support flexible production systems adequately. Hence, modules should encapsulate process functions as services. The services should be invoked and controlled by state-based control. This contribution presents an approach for the state-based control of services, following a defined state-model. The approach has been tested in two case studies and two different implementations: In a simulation environment based on Matlab Simulink Stateflow, and in an industrial implementation of a pump and a controller. This contribution provides an overview of the developed concepts and their capability for the use in industrial environments.
dc.description.versionNA
dc.identifier.doi10.1109/IECON.2018.8591300
dc.identifier.isbn9781509066841
dc.identifier.scopus2-s2.0-85061557472
dc.identifier.urihttps://openhsu.ub.hsu-hh.de/handle/10.24405/14931
dc.language.isoen
dc.publisherIEEE
dc.relation.conferenceIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 21.-23. October, Washington, DC, USA
dc.relation.orgunitAutomatisierungstechnik
dc.rights.accessRightsmetadata only access
dc.subjectModular Process Plants
dc.subjectProcess Control
dc.subjectSimulation
dc.subjectState Models
dc.titleOrchestration of services in modular process plants
dc.typeConference paper
dcterms.bibliographicCitation.booktitleProceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
dcterms.bibliographicCitation.originalpublisherplacePiscataway
dspace.entity.typePublication
hsu.peerReviewed
hsu.uniBibliography
oaire.citation.endPage2940
oaire.citation.startPage2935
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