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Diagnosis of icing and actuator faults in UAVs using LPV unknown input observers
dc.contributor.author | Rotondo, Damiano |
dc.contributor.author | Cristofaro, Andrea |
dc.contributor.author | Johansen, Tor Arne |
dc.contributor.author | Nejjari Akhi-Elarab, Fatiha |
dc.contributor.author | Puig Cayuela, Vicenç |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2018-02-06T08:23:06Z |
dc.date.available | 2018-11-30T01:30:52Z |
dc.date.issued | 2017-10-05 |
dc.identifier.citation | Rotondo, D., Cristofaro, A., Johansen , T. A., Nejjari, F., Puig, V. Diagnosis of icing and actuator faults in UAVs using LPV unknown input observers. "Journal of intelligent and robotic systems: theory and applications (Online)", 5 Octubre 2017, 91(3-4): p. 651-665 |
dc.identifier.issn | 1573-0409 |
dc.identifier.uri | http://hdl.handle.net/2117/113767 |
dc.description.abstract | This 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. |
dc.format.extent | 15 p. |
dc.language.iso | eng |
dc.subject.lcsh | Discrete-time systems |
dc.subject.lcsh | Drone aircraft |
dc.subject.lcsh | Ice |
dc.subject.lcsh | Failure time data analysis |
dc.subject.other | Fault diagnosis |
dc.subject.other | Icing diagnosis |
dc.subject.other | Linear parameter varying (LPV) systems |
dc.subject.other | Unknown input observers (UIOs) |
dc.subject.other | Unmanned aerial vehicles (UAVs) |
dc.title | Diagnosis of icing and actuator faults in UAVs using LPV unknown input observers |
dc.type | Article |
dc.subject.lemac | Sistemes de temps discret |
dc.subject.lemac | Avions no tripulats |
dc.subject.lemac | Glaç |
dc.subject.lemac | Temps entre fallades, Anàlisi del |
dc.contributor.group | Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control |
dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
dc.identifier.doi | 10.1007/s10846-017-0716-1 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://link.springer.com/article/10.1007%2Fs10846-017-0716-1 |
dc.rights.access | Open Access |
local.identifier.drac | 21579281 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//DPI2014-58104-R/ES/CONTROL BASADO EN LA SALUD Y LA RESILIENCIA DE INFRAESTRUCTURAS CRITICAS Y SISTEMAS COMPLEJOS/ |
local.citation.author | Rotondo, D.; Cristofaro, A.; Johansen, T. A.; Nejjari, F.; Puig, V. |
local.citation.publicationName | Journal of intelligent and robotic systems: theory and applications (Online) |
local.citation.volume | 91 |
local.citation.number | 3-4 |
local.citation.startingPage | 651 |
local.citation.endingPage | 665 |
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