An in-orbit Diagnostic System for Electric Propulsion Thrusters through Interferometry
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Date
2020-01-16Author
Lekuona Ugalde, Eneko
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[EN] This report describes the ORBITA project in which I have worked for AVS
(Added Value Solutions) UK. The project was supported by the UK Space
Agency and the European Space Agency (ESA), where the second also provided funding and offered their facilities for testing. At its core, the project
had the advancement of the technology of electric thruster diagnostics as its
objective. It was found in market analysis that no device exists that performs
diagnostics on electric thrusters in orbit, and therefore, it was decided to pursue
the development of such. Receiving thruster performance measurements during
mission can allow fine-tuning of the thruster parameters, which would increase
its lifetime or improve its efficiency.
After the first stages of the project, consisting of a market analysis and a tradeoff of different diagnostic techniques for electric propulsion devices, my involvement begun in the development stage. A Fabry-P´erot interferometer was chosen
as the diagnostic technology to be developed. By measuring the frequency of
the Doppler shifted light emitted by the xenon plasma plume of an electric
propulsion device, its exhaust velocity could be calculated. I fulfilled a secondary role in the mechanical design, where I aided and gave advice to the
colleague responsible for this part. With the optical system, my involvement
also included the procurement of components from the manufacturers, ensuring
their compatibility with our device. However, my main tasks were related to
software development. I wrote a Python program that controls rotational stages
key to the interferometer, while also taking measurements and saving them, automatizing the most repeated steps in the operation of the device. Based on
simulations of data expected to measure in testing, I also wrote the program
responsible of processing the data, to extract the exhaust velocity from it, and
integrated both programs. Finally, I also made the proof-of-concept version of
a secondary system that involves an Arduino board and an stepper motor.
In the design of a breadboard version of a diagnostic device, my personal objective was to ensure the correct functioning of the parts of the system entrusted to
me, as well as helping the rest of the team at my fullest capacity for the whole
system to give satisfactory results when testing.
In this text, the theoretical framework necessary to understand the project and
why the parameters that it measures can be of interest will be introduced. Then,
after a more detailed explanation of the project, the developed system’s main
parts will be explained, with added emphasis on the programs developed by
myself. Finally, the performed test will be described, including the results obtained and the conclusion that were taken from them.