Masters Theses

Physics-based equivalent circuit model extraction for system level PDN and a novel PDN impedance measurement method


Xiaolu Zhu

Keywords and Phrases

Chip PDN; Impedance; Package PDN; PCB PDN; Voltage Ripple


“The power distribution network (PDN) plays an important role in the power supply system, especially with the increasing of the working frequency of the integrated circuit (IC). A physics-based circuit modeling methodology is proposed in the first section. The circuit model is extracted by following the current path in the system PDN and the related parameters are calculated based on the cavity model and plane-pair PEEC methods. By extracting the equivalent circuit model, the PDN system will be transformed into RLC element-based circuit. The role of each part of the system will be easily explained and the system behavior could be changed by changing the dominance part accordingly. This methodology makes a good contribution to the system level PDN troubleshooting and layout design optimization.

Compared with analytical methodologies, the measurement result is more solid and convincing. The special part of PDN is that the impedance could be as low as several milliohms, and the impedance varies during the frequency, so the accuracy of impedance measurement is challenging. Based on all these requirements, a novel PDN low impedance measurement methodology is proposed, and a probe based on I-V method is designed to support this methodology, which provides a new and practical approach of PDN impedance measurement with easy landing, simple setup, lower frequency, and less instrument quality dependent advantages. This probe could work in a wide frequency range with a relatively sufficient dynamic range”--Abstract, page iii.


Drewniak, James L.

Committee Member(s)

Fan, Jun, 1971-
Beetner, Daryl G.
Koul, Amendra


Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering


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Research Center/Lab(s)

Electromagnetic Compatibility (EMC) Laboratory


Missouri University of Science and Technology

Publication Date

Summer 2020


x, 70 pages

Note about bibliography

Includes bibliographic references (pages 65-70).


© 2020 Xiaolu Zhu, All rights reserved.

Document Type

Thesis - Open Access

File Type




Thesis Number

T 11765

Electronic OCLC #


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