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dc.contributor.authorRotondo, Damiano
dc.contributor.authorCristofaro, Andrea
dc.contributor.authorJohansen, Tor Arne
dc.contributor.authorNejjari, F
dc.contributor.authorPuig, V
dc.date.accessioned2017-12-18T08:27:02Z
dc.date.available2017-12-18T08:27:02Z
dc.date.created2017-12-16T22:00:43Z
dc.date.issued2017
dc.identifier.issn1049-8923
dc.identifier.urihttp://hdl.handle.net/11250/2472281
dc.description.abstractThis paper proposes a discrete-time linear parameter varying (LPV) unknown input observer (UIO) for the diagnosis of actuator faults and ice accretion in unmanned aerial vehicles (UAVs). The proposed approach, which is suited to an implementation on-board, exploits a complete 6-degrees of freedom (DOF) UAV model, which includes the coupled longitudinal/lateral dynamics and the impact of icing. The LPV formulation has the advantage of allowing the icing diagnosis scheme to be consistent with a wide range of operating conditions. The developed theory is supported by simulations illustrating the diagnosis of actuator faults and icing in a small UAV. The obtained results validate the effectiveness of the proposed approach.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleDiagnosis of icing and actuator faults in UAVs using LPV unknown input observersnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalInternational Journal of Robust and Nonlinear Controlnb_NO
dc.identifier.doihttps://doi.org/10.1007/s10846-017-0716-1
dc.identifier.cristin1528445
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcodeThis is the peer reviewed version of the following article: Rotondo, D., Cristofaro, A., Johansen, T.A. et al. J Intell Robot Syst (2017). , which has been published in final form at https://link.springer.com/article/10.1007%2Fs10846-017-0716-1 . This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Locked until 05 October 2018 due to copyright restrictions.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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