Files in this item

FilesDescriptionFormat

application/pdf

application/pdfCHOI-THESIS-2020.pdf (679kB)
(no description provided)PDF

Description

Title:Modeling wireless acoustic power transmission systems
Author(s):Choi, Jae Won
Advisor(s):Singer, Andrew C
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Acoustic modeling
Abstract:In the presence of a barrier which is conductive and structurally prevents penetration of electromagnetic energy, acoustic wave transmission is often used for data communications and could be a viable option for wireless power transfer. Such a power transfer system design would need to incorporate the behavior of the entire acoustic channel, taking into account the properties of the acoustic transducers that create the acoustic signals, the propagation of the acoustic signals through the barrier, and the transducers and circuitry that transform the acoustic power back into electrical power. The thesis presents a model that translates the acoustic components of the system into a model that is suitable for analysis using the electrical components. Basic principles of acoustic physics and piezoelectric material properties will be discussed. Then an ABCD-parameter, two-port network representation is derived for a system compromising a piezoelectric transducer and a solid barrier. Such representations can be also be expressed in lumped-element circuits, which can be useful in designing the electrical end of the power transfer system. Using ABCD-parameter models, multiple acoustical and piezoelectric elements are cascaded and modeled as a single two-port network. Using parameter conversion of the two-port network, source and load impedance can be matched to maximize the power transfer.
Issue Date:2020-02-05
Type:Thesis
URI:http://hdl.handle.net/2142/107851
Rights Information:Copyright 2020 Jae Won Choi
Date Available in IDEALS:2020-08-26
Date Deposited:2020-05


This item appears in the following Collection(s)

Item Statistics