Hall Thruster Plume Data Analysis – VCU
Virginia Commonwealth University
Nickel Class (2020 – 2021)
Eric Johnston, Computer Science
Ian Burns, Computer Science
Jamel Hendricks, Computer Science
Tommy Cao, Computer Science
The Psyche spacecraft will rely on a type of electric propulsion known as Hall thrusters in order to propel itself from Earth to the Psyche asteroid. During operation, these thrusters exhaust a hemispherical cloud of plasma known as a plume. Knowledge of the shape and composition of this plume is important in order to understand how well the thruster is operating as well as verify that the plume does not impact (and potentially damage) any sensitive spacecraft components. During ground tests, the plume shape is measured by obtaining measurements at discrete locations, which then need to be analyzed in order to determine an estimate for the plume centroid. The student team applied statistical and/or machine learning techniques to NASA-provided data sets in order to generate improved regressions and predictions of the plume centroid. Then, implemented these centroid predictions into a 3-D plume visualization.