Advanced sensing techniques for active structural acoustic control

This study presents a basis for the analytical and experimental procedures as well as design techniques required in achieving adaptive structures for active structural acoustic control (ASAC). Test structures studied in this work included a baffled simply supported beam and a baffled simply supporte...

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Main Author: Clark, Robert L. Jr.
Other Authors: Mechanical Engineering
Format: Others
Language:en
Published: Virginia Tech 2014
Subjects:
Online Access:http://hdl.handle.net/10919/37880
http://scholar.lib.vt.edu/theses/available/etd-05222007-091351/
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spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-378802021-05-12T05:27:19Z Advanced sensing techniques for active structural acoustic control Clark, Robert L. Jr. Mechanical Engineering Fuller, Christopher R. Kriz, Ronald D. Cudney, Harley H. Robertshaw, Harry H. Wicks, Alfred L. Burdisso, Ricardo A. LD5655.V856 1992.C624 Acoustical engineering Noise control Piezoelectric transducers This study presents a basis for the analytical and experimental procedures as well as design techniques required in achieving adaptive structures for active structural acoustic control (ASAC). Test structures studied in this work included a baffled simply supported beam and a baffled simply supported plate which were subjected to a harmonic input disturbance created physically with a shaker and modelled by a point force input. Structural acoustic control was achieved with piezoelectric actuators bonded to the surface of the test structure. The primary focus of this work was devoted to studying alternative sensing techniques in feed forward control applications. Specifically, shaped distributed structural sensors constructed from polyvinylidene fluoride (PVDF), distributed acoustic near-field sensors constructed from PVDF, and accelerometers were explored as alternatives to microphones which are typically implemented as error sensors in the cost function of the control approach. The chosen control algorithm in this study was the feed forward filtered-x version of the adaptive LMS algorithm. A much lower level of system modelling is required with this method of control in comparison to state feedback control methods. As a result, much of the structural acoustic coupling (i.e. system modelling) must be incorporated into the sensor design. Ph. D. 2014-03-14T21:11:32Z 2014-03-14T21:11:32Z 1992-02-12 2007-05-22 2007-05-22 2007-05-22 Dissertation Text etd-05222007-091351 http://hdl.handle.net/10919/37880 http://scholar.lib.vt.edu/theses/available/etd-05222007-091351/ en OCLC# 26121359 LD5655.V856_1992.C624.pdf In Copyright http://rightsstatements.org/vocab/InC/1.0/ xix, 304 leaves BTD application/pdf application/pdf Virginia Tech
collection NDLTD
language en
format Others
sources NDLTD
topic LD5655.V856 1992.C624
Acoustical engineering
Noise control
Piezoelectric transducers
spellingShingle LD5655.V856 1992.C624
Acoustical engineering
Noise control
Piezoelectric transducers
Clark, Robert L. Jr.
Advanced sensing techniques for active structural acoustic control
description This study presents a basis for the analytical and experimental procedures as well as design techniques required in achieving adaptive structures for active structural acoustic control (ASAC). Test structures studied in this work included a baffled simply supported beam and a baffled simply supported plate which were subjected to a harmonic input disturbance created physically with a shaker and modelled by a point force input. Structural acoustic control was achieved with piezoelectric actuators bonded to the surface of the test structure. The primary focus of this work was devoted to studying alternative sensing techniques in feed forward control applications. Specifically, shaped distributed structural sensors constructed from polyvinylidene fluoride (PVDF), distributed acoustic near-field sensors constructed from PVDF, and accelerometers were explored as alternatives to microphones which are typically implemented as error sensors in the cost function of the control approach. The chosen control algorithm in this study was the feed forward filtered-x version of the adaptive LMS algorithm. A much lower level of system modelling is required with this method of control in comparison to state feedback control methods. As a result, much of the structural acoustic coupling (i.e. system modelling) must be incorporated into the sensor design. === Ph. D.
author2 Mechanical Engineering
author_facet Mechanical Engineering
Clark, Robert L. Jr.
author Clark, Robert L. Jr.
author_sort Clark, Robert L. Jr.
title Advanced sensing techniques for active structural acoustic control
title_short Advanced sensing techniques for active structural acoustic control
title_full Advanced sensing techniques for active structural acoustic control
title_fullStr Advanced sensing techniques for active structural acoustic control
title_full_unstemmed Advanced sensing techniques for active structural acoustic control
title_sort advanced sensing techniques for active structural acoustic control
publisher Virginia Tech
publishDate 2014
url http://hdl.handle.net/10919/37880
http://scholar.lib.vt.edu/theses/available/etd-05222007-091351/
work_keys_str_mv AT clarkrobertljr advancedsensingtechniquesforactivestructuralacousticcontrol
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