Masters Theses

Keywords and Phrases

CISPR 25; GNSS interference; GPS RFI Evaluation; System-level Emissions; ��/��0 measurement

Abstract

"Due to high power and efficiency requirements of modern electrical drive system, inverters are utilizing fast-edge pulses as a drive signal. The high frequency pulses contain higher order harmonics can radiate electromagnetic interference above accepted levels. Modelling and understanding the mechanism that causes the radiation is studied, modelled and presented as gray-box model which contains circuit level modelling of coupling between electrical machine phase windings and low power sensor harness. The thesis consists of two main papers. In the first paper, radiated emissions from an electrical drive system is charac- terized thru gray-box modelling where coupling between electrical machine phase windings and low-power harness is modelled using circuit-level giving understanding how common- mode currents are generated. This gives designers insights as coupling mechanisms as well and helps them mitigate emissions problem by design rather than incorporating filters that take space and drive development costs up. Subsequently, this thesis contains evaluating and modelling EMI on GNSS receivers to intelligently assert limit-level for system-level EMC testing. Guidelines are suggested for different types of interference. Analytical equations are validated with measurements on a commercially available GNSS receiver. Limit-level are suggested based on theory and measurements for meso-band interference noise and general worst-case limit levels are characterized" -- Abstract, p. iv

Advisor(s)

Beetner, Daryl G.

Committee Member(s)

Kim, DongHyun (Bill)
Khilkevich, Victor
Penugonda, Srinath

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2024

Pagination

x, 40 pages

Note about bibliography

Includes_bibliographical_references_(pages 15, 35 & 37-39)

Rights

©2024 Giorgi Tsintsadze , All Rights Reserved

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12413

Electronic OCLC #

1478137520

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