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dc.contributor.authorKarimi Pour, Fatemeh
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.authorCembrano Gennari, Gabriela
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-04-23T09:44:06Z
dc.date.available2019-04-23T09:44:06Z
dc.date.issued2018-01-01
dc.identifier.citationKarimi Pour, F.; Puig, V.; Cembrano, M. Health-aware LPV-MPC based on a reliability-based remaining useful life assessment. "IFAC-PapersOnLine", 1 Gener 2018, vol. 51, núm. 24, p. 1285-1291.
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/2117/131813
dc.description© <2018r>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.abstractOne of the relevant information provided by the prognostics and health management algorithms is the estimation of the Remaining Useful Life (RUL). The prediction of the expected RUL is very useful to decrease maintenance cost, operational downtime and safety hazards. This paper proposes a new strategy of health-aware Model Predictive Control (MPC) for a Linear Parameter Varying (LPV) system that includes as an additional goal extending the system RUL via their estimation using reliability tools. In this approach, the RUL maximization is included in the objective function of the LPV-MPC controller. The RUL is included in the MPC model as an extra parameter varying equation that considers the control action as scheduling variable. The proposed control approach allows the controller to accommodate to the parameter changes. Through computing an estimation of the state variables during prediction, the MPC model can be modified to the estimated state evolution at each time instant. Moreover, for solving the optimization problem by using a series of Quadratic Programs (QP) in each time instant, a new iterative approach is exhibited, which improves the computational efficiency. A pasteurization plant control system is used as a case study to illustrate the performance of the proposed approach.
dc.format.extent7 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.othercontrol theory
dc.subject.otheroptimisation
dc.subject.otherRemaining Useful Life (RUL)
dc.subject.otherModel Predictive Control
dc.subject.otherLinear Parameter Varying
dc.subject.otherRelability
dc.titleHealth-aware LPV-MPC based on a reliability-based remaining useful life assessment
dc.typeArticle
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1016/j.ifacol.2018.09.569
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Control theory
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2405896318322614
dc.rights.accessOpen Access
drac.iddocument23501369
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorKarimi Pour, F.; Puig, V.; Cembrano, M.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIFAC-PapersOnLine
upcommons.citation.volume51
upcommons.citation.number24
upcommons.citation.startingPage1285
upcommons.citation.endingPage1291


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