Fault tolerant control for over-actuated systems: an adaptive correction approach

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dc.citation.epage2535en_US
dc.citation.spage2530en_US
dc.contributor.authorTohidi, Seyed Shahabaldinen_US
dc.contributor.authorYıldız, Yıldırayen_US
dc.contributor.authorKolmanovsky, İ.en_US
dc.coverage.spatialBoston, MA, USAen_US
dc.date.accessioned2018-04-12T11:41:29Z
dc.date.available2018-04-12T11:41:29Z
dc.date.issued2016en_US
dc.departmentDepartment of Mechanical Engineeringen_US
dc.descriptionDate of Conference: 6-8 July 2016en_US
dc.descriptionConference Name: 2016 American Control Conference, ACC 2016en_US
dc.description.abstractThis paper proposes an adaptive fault tolerant control allocation approach for over-actuated systems. The methodology does not utilize the control input matrix estimation to tolerate actuator faults and, therefore, the proposed control allocation method does not require persistence of excitation. Adaptive control approach with a closed loop reference model is used for identifying control allocation parameters, which provides improved performance without introducing undesired oscillations. Furthermore, a sliding mode controller is used to guarantee the outer loop asymptotic stability. Simulation results are provided, where the ADMIRE model is used as an over-actuated system, to demonstrate the effectiveness of the proposed method.en_US
dc.identifier.doi10.1109/ACC.2016.7525297en_US
dc.identifier.issn0743-1619en_US
dc.identifier.urihttp://hdl.handle.net/11693/37485
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/ACC.2016.7525297en_US
dc.source.titleProceedings of the 2016 American Control Conference, ACC 2016en_US
dc.subjectResource managementen_US
dc.subjectActuatorsen_US
dc.subjectAdaptation modelsen_US
dc.subjectAdaptive controlen_US
dc.subjectMatrix decompositionen_US
dc.subjectFault toleranceen_US
dc.subjectFault tolerant systemsen_US
dc.titleFault tolerant control for over-actuated systems: an adaptive correction approachen_US
dc.typeConference Paperen_US

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