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dc.contributor.authorBinder, Benjamin Julian Tømte
dc.contributor.authorKufoalor, Kwame Minde
dc.contributor.authorPavlov, Alexey
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2014-12-15T02:29:11Z
dc.date.accessioned2016-06-23T11:55:23Z
dc.date.available2014-12-15T02:29:11Z
dc.date.available2016-06-23T11:55:23Z
dc.date.issued2014
dc.identifier.citationProceedings of the IEEE Conference on Control Applications 2014nb_NO
dc.identifier.issn1085-1992
dc.identifier.urihttp://hdl.handle.net/11250/2393901
dc.description.abstractElectric Submersible Pumps (ESPs) can be installed in oil wells to create artificial lift, in order to increase recovery from the reservoir, and boost the production rate. A Model Predictive Controller (MPC) for an ESP, based on linearized models, is developed and designed using SEPTIC (Statoil's in-house software tool for MPC), and implemented on a Programmable Logic Controller (PLC). Automatic code generators have been utilized to generate an application-specific MPC controller in ANSI C code. Hardware-in-the-loop simulation results show that the control performance of the PLC implementation is comparable to the original SEPTIC controller.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.titleEmbedded Model Predictive Control for an Electric Submersible Pump on a Programmable Logic Controllernb_NO
dc.typeJournal articlenb_NO
dc.date.updated2014-12-15T02:29:12Z
dc.description.versionsubmittedVersion
dc.source.pagenumber579 - 585nb_NO
dc.identifier.doi10.1109/CCA.2014.6981402
dc.identifier.cristin1184958
dc.description.localcodePreprint version. © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.nb_NO


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