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dc.contributor.authorKuipers, M.en
dc.contributor.authorIoannou, Petros A.en
dc.contributor.authorFidan, B.en
dc.contributor.authorMirmirani, M.en
dc.creatorKuipers, M.en
dc.creatorIoannou, Petros A.en
dc.creatorFidan, B.en
dc.creatorMirmirani, M.en
dc.date.accessioned2019-12-02T10:36:35Z
dc.date.available2019-12-02T10:36:35Z
dc.date.issued2008
dc.identifier.isbn978-1-56347-945-8
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57192
dc.description.abstractFor airbreathing hypersonic flight vehicles (AHFVs), various uncertainties in addition to the coupling effects between the aerodynamics, propulsion, and structures result in a challenging control model. Capturing these uncertainties as real and complex uncertainties motivates the use of mixed-μ synthesis techniques to generate a controller. However, because the uncertainties limit achievable performance, adaptation is needed to achieve precise trajectory tracking. A new multiple model adaptive control (MMAC) approach, adaptive mixing control (AMC), is applied to achieve superior velocity and altitude tracking. The AMC approach, by combining mixed-μ synthesis and adaptive control approaches, incorporates robust-stability and -performance objectives into the control design. Discontinuous switching between candidate controllers is avoided by mixing. Stability issues of mixing multiple stabilizing controllers is addressed using a mixing strategy based on the Youla parameterization of all stabilizing controllers. An AMC scheme and a nonadaptive robust scheme (i.e. mixed-μ compensator) are designed for the uncertain AHFV model at hypersonic cruise (Mach 10, 98, 425 ft altitude). A comparison of the two approaches is conducted, and simulation results demonstrate the effectiveness of the AMC approach. © 2008 by the American Institute of Aeronautics and Astronautics, Inc.en
dc.sourceAIAA Guidance, Navigation and Control Conference and Exhibiten
dc.sourceAIAA Guidance, Navigation and Control Conference and Exhibiten
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78651107066&partnerID=40&md5=1eb557d115abe4fff3153c6f5bbdf320
dc.subjectControl theoryen
dc.subjectControllersen
dc.subjectStabilizing controllersen
dc.subjectController designsen
dc.subjectAdaptive control systemsen
dc.subjectMixingen
dc.subjectCandidate controllersen
dc.subjectAdaptive Controlen
dc.subjectControl designen
dc.subjectMixing controlen
dc.subjectMultiple modelsen
dc.subjectMultiple-model adaptive controlsen
dc.subjectParameterizationen
dc.subjectHypersonic aerodynamicsen
dc.subjectHypersonic flight vehiclesen
dc.subjectHypersonic vehiclesen
dc.subjectSimulation resulten
dc.subjectNavigationen
dc.subjectRobust adaptiveen
dc.subjectAir breathingen
dc.subjectAirbreathing hypersonic vehicleen
dc.subjectAchievable performanceen
dc.subjectAltitude controlen
dc.subjectControl modelen
dc.subjectCoupling effecten
dc.subjectPerformance objectiveen
dc.subjectStability issuesen
dc.subjectSynthesis techniquesen
dc.subjectTrajectory trackingen
dc.subjectYoula parameterizationen
dc.titleRobust adaptive multiple model controller design for an airbreathing hypersonic vehicle modelen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 83206en
dc.description.notesCited By :37</p>en
dc.contributor.orcidIoannou, Petros A. [0000-0001-6981-0704]
dc.gnosis.orcid0000-0001-6981-0704


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