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University of Illinois at Urbana-Champaign

Large-signal tools for power electronics: State space analysis and averaging theory

Abstract

dc:description

This thesis explores the application of nonlinear methods to the practical problems of switching power converter analysis and design. Based on switching algebra, a formalism for large-signal component modeling is developed. The governing equation is formulated for a general class of mixed-mode circuit models containing ideal switches. The geometric interpretation of the governing equation in the state space is developed. This interpretation provides a cogent framework for understanding feedback control and unusual instability phenomena. The classical theory of averaging for systems of ordinary differential equations is applied to power electronic systems. A theoretical basis for widely used averaging approximation techniques is developed. Three new large-signal tools are introduced which are an outgrowth of the basic theory developed. Three large-signal experiments are reported which test the modeling formalism and the geometric and averaging concepts introduced.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bass, Richard Morgan
Contributors dc:contributor
  • Krein, Philip T.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 1990 Bass, Richard Morgan
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9125967
(UMI)AAI9125967
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/22831

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Bass, Richard Morgan. Large-signal tools for power electronics: State space analysis and averaging theory. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/22831