Analytical and experimental study of control effort associated with model reference adaptive control

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dc.contributor.authorMesser, Richard Scotten
dc.contributor.committeecochairHaftka, Raphael T.en
dc.contributor.committeecochairCudney, Harley H.en
dc.contributor.committeememberKapania, Rakesh K.en
dc.contributor.committeememberHendricks, Scott L.en
dc.contributor.committeememberLutze, Frederick H.en
dc.contributor.committeememberDurham, Wayne C.en
dc.contributor.departmentAerospace Engineeringen
dc.date.accessioned2014-03-14T21:13:58Zen
dc.date.adate2008-06-06en
dc.date.available2014-03-14T21:13:58Zen
dc.date.issued1992en
dc.date.rdate2008-06-06en
dc.date.sdate2008-06-06en
dc.description.abstractDuring the past decade, researchers have shown much interest in control and identification of Large Space Structures (LSS). Our inability to model these LSS accurately has generated extensive research into robust controllers capable of maintaining stability in the presence of large structural uncertainties as well as changing structural characteristics. In this work the performance of Model Reference Adaptive Control - (MRAC) is studied in numerical simulations and verified experimentally, to understand how differences between the plant and the reference model affect the control effort. MRAC is applied analytically and experimentally to a single-degree-of-freedom system and analytically to a multi-degree-of-freedom system with multi-inputs and multi-outputs. Good experimental and analytical agreement is demonstrated in control experiments and it is shown that MRAC does an excellent job of controlling the structures and achieving the desired performance even when large differences between the plant and ideal reference model exist. However, it is shown that reasonable differences between the reference model and the plant significantly increase the required control effort. The effects of increased damping in the reference model are considered, and it is shown that requiring the controller to provide increased damping actually decreases the required control effort when differences between the plant and reference model exist. This result is very useful because one of the first attempts to counteract the increased control effort due to differences between the plant and reference model might be to require less damping, however, this would actually increase the control effort. The use of optimization to successfully improve performance and reduce control effort is shown to be limited, because the actual control-structure system can not realize all the performance improvements of the analytical optimal system. Finally, it is shown that very large sampling rates may be required to accurately implement MRAC.en
dc.description.degreePh. D.en
dc.format.extentxv, 149 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-06062008-165637en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06062008-165637/en
dc.identifier.urihttp://hdl.handle.net/10919/38340en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V856_1992.M477.pdfen
dc.relation.isformatofOCLC# 26650318en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1992.M477en
dc.subject.lcshAdaptive control systemsen
dc.subject.lcshLarge space structures (Astronautics)en
dc.titleAnalytical and experimental study of control effort associated with model reference adaptive controlen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineAerospace Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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