A comparison of Fourier and POD mode decomposition methods for high-speed Hall thruster video
J. W. Brooks, M. S. McDonald, A. A. Kaptanoglu

TL;DR
This paper compares Fourier and POD mode decomposition methods for analyzing high-speed video of Hall thruster plasma oscillations, highlighting their respective strengths and providing a combined approach for better understanding plasma instabilities.
Contribution
It offers a detailed comparison, tutorial, and practical guidance on applying Fourier and POD algorithms to high-speed thruster videos, enhancing plasma instability analysis.
Findings
Both methods identify key plasma modes and mode hopping.
Fourier methods excel in linear modal and dispersion analysis.
POD captures nonlinear structures with simpler implementation.
Abstract
Hall thrusters are susceptible to large-amplitude plasma oscillations that impact thruster performance and lifetime and are also difficult to model. High-speed cameras are a popular tool to study these dynamics due to their spatial resolution and are a popular, nonintrusive complement to in-situ probes. High-speed video of thruster oscillations can be isolated (decomposed) into coherent structures (modes) with algorithms that help us better understand the evolution and interactions of each. This work provides an introduction, comparison, and step-by-step tutorial on established Fourier and newer Proper Orthogonal Decomposition (POD) algorithms as applied to high-speed video of the unshielded H6 6-kW laboratory model Hall thruster. From this dataset, both sets of algorithms identify and characterize and modes in the discharge channel and cathode regions of the thruster plume,…
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Taxonomy
TopicsHigh voltage insulation and dielectric phenomena · Power Transformer Diagnostics and Insulation · Plasma Diagnostics and Applications
