Show simple item record

dc.contributor.advisorArabyan, Araen_US
dc.contributor.authorChemishkian, Sergey Y., 1962-
dc.creatorChemishkian, Sergey Y., 1962-en_US
dc.date.accessioned2013-04-18T09:57:06Z
dc.date.available2013-04-18T09:57:06Z
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/10150/282656
dc.description.abstractIn this work the problem of actuator and sensor mapping and controller design for the flexible structure control is approached as minimization of the residual deformations index (Hinfinity norm of the closed-loop disturbance - deformation path) over the set of non-destabilizing feedback controllers and over the set of possible actuator and sensor mappings. Computational load associated with this approach is reduced by restricting the search to the mapping areas where an inexpensive lower estimate of residual deformations index (derived as a part of this study) is less than the desired value of this index. Further improvement is achieved by including statistical description of the difference between the actual and the estimated performance index over the set of mappings, in order to adjust the level of the mapping acceptance/rejection in such a way that the number of rejected mappings is increased. Serial and parallel optimization procedures based on exhaustive search and genetic algorithms are discussed. These concepts and algorithms are applied to test cases of simply supported beam, the UCLA Large Space Structure, and a telescope mirror model: a hinged round plate.
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectEngineering, Aerospace.en_US
dc.subjectEngineering, Industrial.en_US
dc.subjectEngineering, Mechanical.en_US
dc.subjectPhysics, Astronomy and Astrophysics.en_US
dc.titleComputational methods for the optimization of the mapping of actuators and sensors in the control of flexible structuresen_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.identifier.proquest9831826en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineAerospace and Mechanical Engineeringen_US
thesis.degree.namePh.D.en_US
dc.identifier.bibrecord.b3863417xen_US
refterms.dateFOA2018-05-25T10:24:40Z
html.description.abstractIn this work the problem of actuator and sensor mapping and controller design for the flexible structure control is approached as minimization of the residual deformations index (Hinfinity norm of the closed-loop disturbance - deformation path) over the set of non-destabilizing feedback controllers and over the set of possible actuator and sensor mappings. Computational load associated with this approach is reduced by restricting the search to the mapping areas where an inexpensive lower estimate of residual deformations index (derived as a part of this study) is less than the desired value of this index. Further improvement is achieved by including statistical description of the difference between the actual and the estimated performance index over the set of mappings, in order to adjust the level of the mapping acceptance/rejection in such a way that the number of rejected mappings is increased. Serial and parallel optimization procedures based on exhaustive search and genetic algorithms are discussed. These concepts and algorithms are applied to test cases of simply supported beam, the UCLA Large Space Structure, and a telescope mirror model: a hinged round plate.


Files in this item

Thumbnail
Name:
azu_td_9831826_sip1_m.pdf
Size:
3.284Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record