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Article: Aircraft fault-tolerant trajectory control using Incremental Nonlinear Dynamic Inversion

TitleAircraft fault-tolerant trajectory control using Incremental Nonlinear Dynamic Inversion
Authors
KeywordsIncremental Nonlinear Dynamic Inversion
Trajectory control
Fault-tolerant control
Model identification
Nonlinear flight control
Issue Date2016
Citation
Control Engineering Practice, 2016, v. 57, p. 126-141 How to Cite?
Abstract© 2016 Elsevier Ltd This paper deals with aircraft trajectory control in the presence of model uncertainties and actuator faults. Existing approaches, such as adaptive backstepping and nonlinear dynamic inversion with online model identification, can be applied. However, since there are a number of unknown aerodynamic derivatives, the tuning of parameter update law gains is time-consuming. Methods with online model identification require excitation and the selection of a threshold. Furthermore, to deal with highly nonlinear aircraft dynamics, the aerodynamic model structure needs to be designed. In this paper, a novel aircraft trajectory controller, which uses the Incremental Nonlinear Dynamic Inversion, is proposed to achieve fault-tolerant trajectory control. The detailed control law design of four loops is presented. The idea is to design the loops with uncertainties using the incremental approach. The tuning of the approach is straightforward and there is no requirement for excitation and selection of a threshold. The performance of the proposed controller is compared with existing approaches using three scenarios. The results show that the proposed trajectory controller can follow the reference even when there are model uncertainties and actuator faults.
Persistent Identifierhttp://hdl.handle.net/10722/288567
ISSN
2023 Impact Factor: 5.4
2023 SCImago Journal Rankings: 1.576
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLu, Peng-
dc.contributor.authorvan Kampen, Erik Jan-
dc.contributor.authorde Visser, Cornelis-
dc.contributor.authorChu, Qiping-
dc.date.accessioned2020-10-12T08:05:17Z-
dc.date.available2020-10-12T08:05:17Z-
dc.date.issued2016-
dc.identifier.citationControl Engineering Practice, 2016, v. 57, p. 126-141-
dc.identifier.issn0967-0661-
dc.identifier.urihttp://hdl.handle.net/10722/288567-
dc.description.abstract© 2016 Elsevier Ltd This paper deals with aircraft trajectory control in the presence of model uncertainties and actuator faults. Existing approaches, such as adaptive backstepping and nonlinear dynamic inversion with online model identification, can be applied. However, since there are a number of unknown aerodynamic derivatives, the tuning of parameter update law gains is time-consuming. Methods with online model identification require excitation and the selection of a threshold. Furthermore, to deal with highly nonlinear aircraft dynamics, the aerodynamic model structure needs to be designed. In this paper, a novel aircraft trajectory controller, which uses the Incremental Nonlinear Dynamic Inversion, is proposed to achieve fault-tolerant trajectory control. The detailed control law design of four loops is presented. The idea is to design the loops with uncertainties using the incremental approach. The tuning of the approach is straightforward and there is no requirement for excitation and selection of a threshold. The performance of the proposed controller is compared with existing approaches using three scenarios. The results show that the proposed trajectory controller can follow the reference even when there are model uncertainties and actuator faults.-
dc.languageeng-
dc.relation.ispartofControl Engineering Practice-
dc.subjectIncremental Nonlinear Dynamic Inversion-
dc.subjectTrajectory control-
dc.subjectFault-tolerant control-
dc.subjectModel identification-
dc.subjectNonlinear flight control-
dc.titleAircraft fault-tolerant trajectory control using Incremental Nonlinear Dynamic Inversion-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.conengprac.2016.09.010-
dc.identifier.scopuseid_2-s2.0-84988979828-
dc.identifier.volume57-
dc.identifier.spage126-
dc.identifier.epage141-
dc.identifier.isiWOS:000387192700011-
dc.identifier.issnl0967-0661-

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