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dc.contributor.authorDonkov, Viktor Hristov
dc.contributor.authorAndersen, Torben Ole
dc.contributor.authorEbbesen, Morten Kjeld
dc.date.accessioned2022-05-13T09:09:21Z
dc.date.available2022-05-13T09:09:21Z
dc.date.created2020-10-30T10:29:00Z
dc.date.issued2020
dc.identifier.citationDonkov, V. H., Andersen, T. O. & Ebbesen, M. K. (2020). An analysis of model predictive control with integral action applied to digital displacement cylinders. Modeling, Identification and Control, 41 (3), 223-239.en_US
dc.identifier.issn1890-1328
dc.identifier.urihttps://hdl.handle.net/11250/2995573
dc.description.abstractThis article aims to analyze Model Predictive Control (MPC) for the control of multi-chamber cylinders. MPC with and without integral action has been introduced. Three different algorithms have been used to solve the optimization problem in the MPC. The different algorithms have been compared with an industrial solver. The influence of changing mass, choosing a different middle line pressure, system delays, signal noise, velocity estimation, and changing pressure levels has been investigated. It is concluded that for the small prediction horizon used in the paper a simple algorithm such as A* can produce results as good as the previously used Differential Evolution algorithm in less than half the time. It is further concluded that unknown software delays and unknown changes in mass have the largest effect on system performance.en_US
dc.language.isoengen_US
dc.publisherInstitutt for teknisk kybernetikken_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectModell-prediktiv reguleringen_US
dc.subjectModel predictive controlen_US
dc.subjectOptimaliseringen_US
dc.subjectOptimizationen_US
dc.titleAn analysis of model predictive control with integral action applied to digital displacement cylindersen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 Norwegian Society of Automatic Controlen_US
dc.subject.nsiVDP::Maskinfag: 570en_US
dc.subject.nsiVDP::Mechanical engineering: 570en_US
dc.source.pagenumber223-239en_US
dc.source.volume41en_US
dc.source.journalModeling, Identification and Controlen_US
dc.source.issue3en_US
dc.identifier.doi10.4173/MIC.2020.3.6
dc.identifier.cristin1843527
dc.relation.projectNorges forskningsråd: 237896en_US
cristin.qualitycode1


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