Please use this identifier to cite or link to this item:
Title: Fast algorithms for finding steady-state solutions of switching power converters
Authors: Tam, Kam-chun
Keywords: Hong Kong Polytechnic University -- Dissertations
Switching circuits
Power electronics
Electric current converters
Issue Date: 2007
Publisher: The Hong Kong Polytechnic University
Abstract: Analysis of the steady-state waveforms of power converter circuits is important for practical design and implementation as it provides crucial information about the exact circuit operation and the extents of device stresses. The information derived from steady-state analysis is useful for power supply designers in choosing suitable components and enhancing reliability. In this thesis, a detailed study of the computational algorithms for finding the steady-state waveforms of power converter circuits is presented. Time-domain methods and frequency-domain methods are studied. In studying frequency-domain methods, emphasis has been put on a special kind of frequency-domain method which involves representation of waveforms in terms of wavelet functions and polynomial functions. New algorithms have been developed and are presented in this thesis. The benefits and drawbacks of time-domain methods and the specific frequency-domain methods are compared and studied. A hybrid approach, which takes advantage of both time-domain and frequency-domain methods, has been proposed. This new hybrid approach is found to be a very efficient computational approach for solving steady-state solutions of piecewise switched circuits such as power converter circuits.
Description: xiii, 179 leaves : ill. ; 30 cm.
PolyU Library Call No.: [THS] LG51 .H577P EIE 2007 Tam
Rights: All rights reserved.
Appears in Collections:Thesis

Files in This Item:
File Description SizeFormat 
b21459034_link.htmFor PolyU Users 162 BHTMLView/Open
b21459034_ir.pdfFor All Users (Non-printable) 2.09 MBAdobe PDFView/Open
Show full item record
PIRA download icon_1.1View/Download Contents

Page view(s)

Last Week
Last month
Citations as of Oct 15, 2018


Citations as of Oct 15, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.