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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4312
DC FieldValueLanguage
dc.contributor.authorMichail, Konstantinos-
dc.contributor.authorZolotas, Argyrios C.-
dc.contributor.authorGoodall, Roger M.-
dc.contributor.otherΜιχαήλ, Κωνσταντίνος-
dc.date.accessioned2013-04-19T05:58:45Zen
dc.date.accessioned2013-05-17T10:30:42Z-
dc.date.accessioned2015-12-09T12:07:35Z-
dc.date.available2013-04-19T05:58:45Zen
dc.date.available2013-05-17T10:30:42Z-
dc.date.available2015-12-09T12:07:35Z-
dc.date.issued2013-
dc.identifier.citationCentral European Journal of Engineering, 2013, vol. 3, no. 2, pp. 206-220en_US
dc.identifier.issn20819927-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/4312-
dc.description.abstractThe paper presents a method to recover the performance of an electromagnetic suspension under faulty airgap sensor. The proposed control scheme is a combination of classical control loops, a Kalman Estimator and analytical redundancy (for the airgap signal). In this way redundant airgap sensors are not essential for reliable operation of this system. When the airgap sensor fails the required signal is recovered using a combination of a Kalman estimator and analytical redundancy. The performance of the suspension is optimised using genetic algorithms and some preliminary robustness issues to load and operating airgap variations are discussed. Simulations on a realistic model of such type of suspension illustrate the efficacy of the proposed sensor tolerant control method.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofCentral European Journal of Engineeringen_US
dc.rights© De Gruyteren_US
dc.subjectMagleven_US
dc.subjectActive suspensionsen_US
dc.subjectAirgap sensor faulten_US
dc.subjectKalman estimatoren_US
dc.subjectGenetic algorithmsen_US
dc.titleFallback options for airgap sensor fault of an electromagnetic suspension systemen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Sussexen_US
dc.collaborationLoughborough Universityen_US
dc.subject.categoryMechanical Engineeringen_US
dc.journalsSubscriptionen_US
dc.reviewpeer reviewed-
dc.countryCyprusen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.2478/s13531-012-0060-yen_US
dc.dept.handle123456789/141en
dc.relation.issue2en_US
dc.relation.volume3en_US
cut.common.academicyear2013-2014en_US
dc.identifier.spage206en_US
dc.identifier.epage220en_US
item.openairetypearticle-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
crisitem.journal.publisherSpringer Nature-
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