The goal of electric circuit simulation is to describe the flow of electricity throughout an electric circuit. Simulating the behavior of the circuit can not only help improve the design and efficiency of electronics, but also save time and money used in physically making the circuit. Circuit simulation has been an ongoing problem due to the difficult equations that model circuit components. In this thesis we develop a mathematical model for simulating dynamic electric circuits with ideal diodes. We build our model to include key electrical components like power sources, resistors, inductors, and capacitors. We then extend our model to include ideal diodes. Diodes are special electrical elements in that they only allow current to flow in one direction. We present numerical methods for simulating electrical networks with resistors, capacitors, inductors, and diodes using a complementarity approach. These methods have both high order of accuracy and work directly with the network description of the circuit.
Dissertation
A complementarity approach to modeling dynamic electric circuits
University of Iowa
Doctor of Philosophy (PhD), University of Iowa
Summer 2016
DOI: 10.17077/etd.687n4wvf
Free to read and download, Open Access
Abstract
Details
- Title: Subtitle
- A complementarity approach to modeling dynamic electric circuits
- Creators
- Mario Barela - University of Iowa
- Contributors
- David Stewart (Advisor)Bruce Ayati (Committee Member)Anton Kruger (Committee Member)Suely Oliveira (Committee Member)Keith Stroyan (Committee Member)
- Resource Type
- Dissertation
- Degree Awarded
- Doctor of Philosophy (PhD), University of Iowa
- Degree in
- Applied Mathematical and Computational Sciences
- Date degree season
- Summer 2016
- Publisher
- University of Iowa
- DOI
- 10.17077/etd.687n4wvf
- Number of pages
- xi, 134 pages
- Copyright
- Copyright 2016 Mario Barela
- Language
- English
- Description illustrations
- illustrations (some color)
- Description bibliographic
- Includes bibliographical references (pages 132-134).
- Academic Unit
- Interdisciplinary Graduate Program in Applied Mathematical & Computational Sciences
- Record Identifier
- 9983777189302771
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