A dynamic prognosis algorithm in distributed fault tolerant model predictive control

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorZakharov, Alexey
dc.contributor.authorYu, Miao
dc.contributor.authorJamsa-Jounela, Sirkka-Liisa
dc.contributor.departmentBiotekniikan ja kemian tekniikan laitosfi
dc.contributor.departmentDepartment of Biotechnology and Chemical Technologyen
dc.contributor.labResearch Group of Process Control and Automationen
dc.contributor.schoolKemian tekniikan korkeakoulufi
dc.contributor.schoolSchool of Chemical Technologyen
dc.date.accessioned2015-12-10T10:02:40Z
dc.date.available2015-12-10T10:02:40Z
dc.date.issued2014
dc.description.abstractThis paper presents a dynamic prognosis algorithm in distributed fault tolerant model predictive control (DFTMPC). The dynamic prognosis, which means predicting the trajectories of process variables under distributed model predictive control, is performed when a fault is diagnosed and several candidate reconfigured controls are proposed. Then, the dynamic prognosis is utilized to check whether the candidate reconfigured controls are able to drive the system to the new operating conditions and to evaluate the performance during the transition period. Thus, the most suitable candidate reconfigured controller is selected and its feasibility is ensured without using a Lyapunov function that is difficult to obtain for large-scale systems. On the other hand, the on-line computation burden of the prognosis algorithm is moderate under the assumption that the sets of active constraints in non-faulty subsystems remain the same as they are at the nominal operating conditions. Thus, the dynamic prognosis for DMPC is aimed to improve the applicability of the existing fault tolerant methods to large-scale systems.en
dc.description.versionPeer revieweden
dc.format.extent1238-1243
dc.format.mimetypeapplication/pdfen
dc.identifier.citationZakharov, Alexey & Yu, Miao & Jamsa-Jounela, Sirkka-Liisa. 2014. A dynamic prognosis algorithm in distributed fault tolerant model predictive control. 1238 - 1243. DOI: 10.1109/cca.2014.6981498.en
dc.identifier.doi10.1109/cca.2014.6981498
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/18978
dc.identifier.urnURN:NBN:fi:aalto-201512095514
dc.language.isoenen
dc.publisherInstitute of Electrical & Electronics Engineers (IEEE)en
dc.rights© 2014 Institute of Electrical & Electronics Engineers (IEEE). Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other work.en
dc.rights.holderInstitute of Electrical & Electronics Engineers (IEEE)
dc.subject.keywordDistributed model predictive controlen
dc.subject.keywordFault tolerant controlen
dc.subject.keywordController reconfigurationen
dc.subject.keywordConstrained optimizationen
dc.subject.keywordAlkylation of benzeneaen
dc.subject.otherAutomationen
dc.titleA dynamic prognosis algorithm in distributed fault tolerant model predictive controlen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.dcmitypetexten
dc.type.versionPost printen
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