Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4310
DC FieldValueLanguage
dc.contributor.authorMichail, Konstantinos-
dc.contributor.authorZolotas, Argyrios C.-
dc.contributor.authorGoodall, Roger M.-
dc.date2014-
dc.date.accessioned2013-10-24T06:03:07Z-
dc.date.accessioned2015-12-09T12:07:33Z-
dc.date.available2013-10-24T06:03:07Z-
dc.date.available2015-12-09T12:07:33Z-
dc.date.issued2014-01-
dc.identifier.citationISA Transactions, 2014, vol. 53, no. 1, pp. 97–109en_US
dc.identifier.issn00190578-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/4310-
dc.description.abstractThis paper presents a systematic design framework for selecting the sensors in an optimised manner, simultaneously satisfying a set of given complex system control requirements, i.e. optimum and robust performance as well as fault tolerant control for high integrity systems. It is worth noting that optimum sensor selection in control system design is often a non-trivial task. Among all candidate sensor sets, the algorithm explores and separately optimises system performance with all the feasible sensor sets in order to identify fallback options under single or multiple sensor faults. The proposed approach combines modern robust control design, fault tolerant control, multiobjective optimisation and Monte Carlo techniques. Without loss of generality, it's efficacy is tested on an electromagnetic suspension system via appropriate realistic simulations.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofISA Transactionsen_US
dc.rights© ISAen_US
dc.subjectOptimised sensor selectionen_US
dc.subjectRobust controlen_US
dc.subjectFault tolerant controlen_US
dc.subjectMagnetic levitationen_US
dc.subjectMultiobjective optimisationen_US
dc.subjectElectromagnetic suspensionen_US
dc.titleOptimised sensor selection for control and fault tolerance of electromagnetic suspension systems: A robust loop shaping approachen_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.doi10.1016/j.isatra.2013.08.006en_US
dc.dept.handle123456789/141en
dc.relation.issue1en_US
dc.relation.volume53en_US
cut.common.academicyear2013-2014en_US
dc.identifier.spage97en_US
dc.identifier.epage109en_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
Appears in Collections:Άρθρα/Articles
Files in This Item:
File Description SizeFormat
Optimised sensor selection.pdf1.6 MBAdobe PDFView/Open
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

17
checked on Nov 9, 2023

WEB OF SCIENCETM
Citations 20

16
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s)

380
Last Week
0
Last month
5
checked on Oct 5, 2024

Download(s)

101
checked on Oct 5, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.