MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A self-tuning 100 watt wireless power transfer system

Author(s)
Lukashov, Stanislav V
Thumbnail
DownloadFull printable version (93.34Mb)
Alternative title
self-tuning one-hundred watt wireless power transfer system
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Chathan M. Cooke and Chryssostomos Chryssostomidis.
Terms of use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
Abstract
This thesis presents a new method of controlling wireless power transfer suitable for highly resonant magnetically coupled systems. An application of this system is unattended autonomous operation such as recharging of autonomous underwater vehicles or underwater sensor networks. Special attention is given to maximizing power transfer even when there may be spatial variations in transfer distance, which shifts the resonance peak frequency and hence requires automated control. An automated system comprised of a 100 watt switching power amplifier coupled to a frequency controller is designed and implemented. The desired operating frequency is determined by quantification of the real-time AC power supplied to the resonant transmitter. The control system is preset to select operation at either of two selectable modes inherent to the resonant structure. The implemented system can operate underwater, requires only DC voltage inputs and operates over a range of distances while self-tuning to peak power transfer.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 81-83).
 
Date issued
2017
URI
http://hdl.handle.net/1721.1/113128
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.