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dc.contributor.authorOhrem, Sveinung Johan
dc.contributor.authorKim, Hyungju
dc.contributor.authorLundteigen, Mary Ann
dc.contributor.authorHolden, Christian
dc.date.accessioned2019-03-20T08:00:36Z
dc.date.available2019-03-20T08:00:36Z
dc.date.created2019-02-27T13:46:31Z
dc.date.issued2019
dc.identifier.citationMATEC Web of Conferences. 2019, 273 .nb_NO
dc.identifier.issn2261-236X
dc.identifier.urihttp://hdl.handle.net/11250/2590741
dc.description.abstractControl systems are an important and increasingly complex part of most industrial and non-industrial systems. As such, identifying and handling associated risks is increasingly important. Systems- Theoretic Process Analysis (STPA) is a relatively new hazard identification method developed to analyze modern, complex control systems. While traditional hazard analysis methods mainly focus on the failures of a system, STPA focuses on interactions among control commands and environmental conditions, so that potential non-failure problems, mainly caused by unsafe control actions, can be identified. Proportional-Integral-Derivative (PID) controllers are the most common conventional controllers (CCs) and are widely used in industry due to their simplicity. PID controllers are tuned for operation and based on the system behaviour, in a certain limited operating region. If the behavior and/or operating region of a system changes over time, the PID controller requires retuning to perform as desired and prevent loss of production, or accidents, due to inadequate control. Adaptive controllers (ACs) are able to self-adjust and adapt to changes in the system parameters and operating region, such that the overall control task is performed without the need for continuous re-tuning by an operator. The tuning of an AC is done once, at the time of implementation. This can be very helpful for both the efficiency and the safety of the control system. The interactions between the operator and the control system are reduced when the controller is able to self-adjust, potentially reducing the number of hazards. On the other hand, the complexity of ACs may introduce new kinds of hazards that do not exist when using CCs. In this paper, we compare CCs and ACs from both a control and a safety perspective using STPA. As a test case, we compare the efficiencies and hazards of a CC, and an AC applied to a pipeline-riser system subject to slug flow, a hazardous phenomenon occurring in mixed oil and gas pipes. This phenomenon is difficult to control since the behaviour changes drastically with different flow conditions.nb_NO
dc.language.isoengnb_NO
dc.publisherEDP Sciencesnb_NO
dc.relation.urihttps://doi.org/10.1051/matecconf/201927302006
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA Comparison of Hazards and Efficiencies of Conventional and Adaptive Control Algorithms Using Systems-Theoretic Process Analysisnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber19nb_NO
dc.source.volume273nb_NO
dc.source.journalMATEC Web of Conferencesnb_NO
dc.identifier.doihttps://doi.org/10.1051/matecconf/201927302006
dc.identifier.cristin1681049
dc.relation.projectNorges forskningsråd: 237893nb_NO
dc.description.localcode© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal