Keywords
DC to DC, forward resonant, soft switching, zero current switching
Abstract
In the field of power electronics there is always a push to create smaller and more efficient power conversion systems. This push is driven by the industry that uses the power systems, and can be realized by new semiconductor devices or new techniques. This examination describes a novel technique for a small and highly efficient method of converting relatively high DC voltage to a very low voltage for use in the telecommunications industry. A modification to the standard Forward Resonant converter results in improvements in component stress, system efficiency, response time, and control circuitry. This examination describes background information needed to understand the concepts in DC to DC power systems, "soft-switching" topologies, and control methods for these systems. The examination introduces several topologies that are currently being used, and several types that have been previously analyzed, as a starting point for the detailed analysis of the proposed converter topology. A detailed analytical analysis is given of the proposed topology, including secondary effects, and component stresses. This analysis is compared to the results found from both Pspice simulation, and a working DC to DC converter. Finally, the topology is examined for potential improvements, and possible refinements to the model described.
Notes
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Graduation Date
2007
Semester
Fall
Advisor
Batarseh, Issa
Degree
Master of Science in Electrical Engineering (M.S.E.E.)
College
College of Engineering and Computer Science
Department
Electrical Engineering and Computer Science
Degree Program
Electrical Engineering
Format
application/pdf
Identifier
CFE0001960
URL
http://purl.fcla.edu/fcla/etd/CFE0001960
Language
English
Release Date
December 2007
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
STARS Citation
Bills, David Marlin, "Soft Switching Multi-resonant Forward Converter Dc To Dc Application For Communications Equipment" (2007). Electronic Theses and Dissertations. 3087.
https://stars.library.ucf.edu/etd/3087