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dc.contributorDepartment of Electronic and Information Engineeringen_US
dc.creatorTam, Kam-chun-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/2026-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleFast algorithms for finding steady-state solutions of switching power convertersen_US
dcterms.abstractAnalysis 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.en_US
dcterms.extentxiii, 179 leaves : ill. ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2007en_US
dcterms.educationalLevelAll Doctorateen_US
dcterms.educationalLevelPh.D.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertations.en_US
dcterms.LCSHSwitching circuits.en_US
dcterms.LCSHPower electronics.en_US
dcterms.LCSHElectric current converters.en_US
dcterms.accessRightsopen accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/2026