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Health-aware LPV-MPC based on a reliability-based remaining useful life assessment
dc.contributor.author | Karimi Pour, Fatemeh |
dc.contributor.author | Puig Cayuela, Vicenç |
dc.contributor.author | Cembrano Gennari, Gabriela |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2019-04-23T09:44:06Z |
dc.date.available | 2019-04-23T09:44:06Z |
dc.date.issued | 2018-01-01 |
dc.identifier.citation | Karimi 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.issn | 2405-8963 |
dc.identifier.uri | http://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.abstract | One 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.extent | 7 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.other | control theory |
dc.subject.other | optimisation |
dc.subject.other | Remaining Useful Life (RUL) |
dc.subject.other | Model Predictive Control |
dc.subject.other | Linear Parameter Varying |
dc.subject.other | Relability |
dc.title | Health-aware LPV-MPC based on a reliability-based remaining useful life assessment |
dc.type | Article |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.identifier.doi | 10.1016/j.ifacol.2018.09.569 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.inspec | Classificació INSPEC::Control theory |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S2405896318322614 |
dc.rights.access | Open Access |
local.identifier.drac | 23501369 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Karimi Pour, F.; Puig, V.; Cembrano, M. |
local.citation.publicationName | IFAC-PapersOnLine |
local.citation.volume | 51 |
local.citation.number | 24 |
local.citation.startingPage | 1285 |
local.citation.endingPage | 1291 |
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