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Flight evaluation of a sliding mode online control allocation scheme for fault tolerant control

dc.contributor.authorChen, L
dc.contributor.authorEdwards, C
dc.contributor.authorAlwi, H
dc.contributor.authorSato, M
dc.date.accessioned2020-01-16T11:21:04Z
dc.date.issued2020-01-21
dc.description.abstractThis paper develops a sliding mode fault tolerant control scheme based on a Linear Parameter Varying (LPV) system representation of the plant. The scheme includes a control allocation component, which is capable of utilizing the available healthy actuators in the face of actuator faults/failures, in an effort to retain close to nominal fault free performance. The proposed scheme is validated using the Japan Aerospace Exploration Agency’s Multi-Purpose Aviation Laboratory (MuPALα) research aircraft. The flight test results demonstrate good lateral-directional state tracking performance with no visible performance degradation in the presence of rudder and aileron faults.en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipJapan New Energy and Industrial Technology Development Organizationen_GB
dc.identifier.citationVol. 114, article 108829en_GB
dc.identifier.doi10.1016/j.automatica.2020.108829
dc.identifier.grantnumber690811en_GB
dc.identifier.grantnumber062800en_GB
dc.identifier.urihttp://hdl.handle.net/10871/40435
dc.language.isoenen_GB
dc.publisherElsevier / International Federation of Automatic Control (IFAC)en_GB
dc.rights.embargoreasonUnder embargo until 21 january 2021 in compliance with publisher policyen_GB
dc.rights© 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.subjectsliding mode controlen_GB
dc.subjectcontrol allocationen_GB
dc.subjectfault tolerant controlen_GB
dc.subjectflight testen_GB
dc.titleFlight evaluation of a sliding mode online control allocation scheme for fault tolerant controlen_GB
dc.typeArticleen_GB
dc.date.available2020-01-16T11:21:04Z
dc.identifier.issn0005-1098
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recorden_GB
dc.identifier.journalAutomaticaen_GB
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dcterms.dateAccepted2019-12-17
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2019-12-17
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-01-16T00:25:16Z
refterms.versionFCDAM
refterms.panelBen_GB


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© 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as © 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/