Masters Theses

Shuang Liang

Keywords and Phrases

EMC; PDN; SI/PI

Abstract

"With increasingly stringent requirements for lower voltage supply, and higher density in PCB PDN design, now integrity (PI) is an increasingly important aspect that must be considered. A pre-layout tool based on the Cavity Model and Boundary Element Method is built to automatically achieve a specified target impedance for a multi-layered Printed Circuit Board (PCB) Power Distribution Network (PDN) design with a minimal number of decoupling capacitors.

The pre-work about the post-layout design and analysis is proposed and the guidelines for creating a decoupling capacitors network with better performance has been built. With limit inputs, physical limitations for the minimal impedance that can be achieved in PDN system are calculated first to determine if a design is physically realizable and provide feedback to the user. The decoupling capacitor location will be determined by physics. Then a special decoupling capacitor selection algorithm through poles and zeros is utilized to determine which decoupling capacitor from a library should be added. Finally, the target impedance could be achieved using the minimum number of decoupling capacitors. Genetic algorithm is utilized to verify the performance and time cost of the new designed algorithm and several industry designs are used to verify the calculation result. The process is quite time-saving and convenient, and allows the user to do design discovery quickly, and determine the limiting factors under different conditions."--Abstract, page iii.

Advisor(s)

Drewniak, James L.

Committee Member(s)

Hwang, Chulsoon
Fan, Jun, 1971-

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2021

Pagination

x, 82 pages

Note about bibliography

Includes bibliographic references (pages 75-81).

Rights

© 2021 Shuang Liang, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11909

Electronic OCLC #

1286686980

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