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dc.contributor.authorGarrido Hernández, Izaskun ORCID
dc.contributor.authorGarrido Hernández, Aitor Josu ORCID
dc.contributor.authorRomero, Jesús A.
dc.contributor.authorCarrascal Lecumberri, Edorta ORCID
dc.contributor.authorSevillano Berasategui, María Goretti ORCID
dc.contributor.authorBarambones Caramazana, Oscar ORCID
dc.date.accessioned2016-05-10T10:27:09Z
dc.date.available2016-05-10T10:27:09Z
dc.date.issued2015
dc.identifier.citationMathematical Problems in Engineering 2015 : (2015) // Article ID 527420es
dc.identifier.issn1024-123X
dc.identifier.issn1563-5147
dc.identifier.urihttp://hdl.handle.net/10810/18208
dc.description.abstractOne of the main problems of fusion energy is to achieve longer pulse duration by avoiding the premature reaction decay due to plasma instabilities. The control of the plasma inductance arises as an essential tool for the successful operation of tokamak fusion reactors in order to overcome stability issues as well as the new challenges specific to advanced scenarios operation. In this sense, given that advanced tokamaks will suffer from limited power available from noninductive current drive actuators, the transformer primary coil could assist in reducing the power requirements of the noninductive current drive sources needed for current profile control. Therefore, tokamak operation may benefit from advanced control laws beyond the traditionally used PID schemes by reducing instabilities while guaranteeing the tokamak integrity. In this paper, a novel model predictive control (MPC) scheme has been developed and successfully employed to optimize both current and internal inductance of the plasma, which influences the L-H transition timing, the density peaking, and pedestal pressure. Results show that the internal inductance and current profiles can be adequately controlled while maintaining the minimal control action required in tokamak operation.es
dc.description.sponsorshipThis work was supported in part by the University of the Basque Country (UPV/EHU) through Research Projects GIU11/02 and GIU14/07, Research and Training Unit UFI11/07, and by the Ministry of Science and Innovation (MICINN) through Research Project ENE2010-18345. The authors would also like to thank the collaboration of the Basque Energy Board (EVE) through Agreement UPV/EHUEVE23/6/2011, the Spanish National Fusion Laboratory (EURATOM-CIEMAT) through Agreement UPV/EHUCIEMAT08/190, and Jo Lister, Stefano Coda, and the TCV team for its collaboration and help. Authors are also very grateful to the anonymous reviewers that have helped to improve the initial version of the paper.es
dc.language.isoenges
dc.publisherHindawi Publishinges
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectastra-matlab integrationes
dc.subjectneural-controles
dc.subjecttokamakses
dc.subjectgeneratores
dc.subjectsystemses
dc.subjectproilees
dc.subjectplantses
dc.titleLow Effort L-i Nuclear Fusion Plasma Control Using Model Predictive Control Lawses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2015 Izaskun Garrido et al.This is an open access article distributed under theCreativeCommonsAttribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.es
dc.relation.publisherversionhttp://www.hindawi.com/journals/mpe/2015/527420/abs/es
dc.identifier.doi10.1155/2015/527420
dc.departamentoesIngeniería de sistemas y automáticaes_ES
dc.departamentoesMáquinas y motores térmicoses_ES
dc.departamentoeuSistemen ingeniaritza eta automatikaes_ES
dc.departamentoeuMakina eta motor termikoakes_ES
dc.subject.categoriaENGINEERING
dc.subject.categoriaMATHEMATICS


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