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A power electronic approach to improved dual-frequency vibration energy harvesting

Author(s)
Garza, Felipe J., III
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Jeffrey H. Lang.
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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
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Abstract
Vibration energy harvesters may be used as power sources for low-power, self-sufficient, wireless industrial sensors. State-of-the-art vibration energy harvesting uses switching power electronics to synthesize compact conjugate matched loads allowing for maximum harvested power. Previous work demonstrating dual-frequency vibration energy harvesting used a piezoelectric harvester loaded with analog-controlled power electronics but was unable to cancel the parasitic output capacitance typical of piezoelectric harvesters at both frequencies. This thesis addresses the technical challenge of achieving maximum power transfer from multi-frequency vibration energy sources, simultaneously. Improved dual-frequency energy harvesting is demonstrated using a piezoelectric vibration energy harvester loaded with digitally-controlled power electronics. The digital controller - performing fixed-point computations - allows for synthesis of a band-limited negative capacitor needed to improve dual-frequency energy harvesting.
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 121-122).
 
Date issued
2017
URI
http://hdl.handle.net/1721.1/112850
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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