Low-thrust maneuver anomaly detection of a cooperative asset using publicly available orbital data
Riccardo Cipollone, Pierluigi di Lizia
download PDFAbstract. This work presents a novel method to estimate perturbations with respect to nominal maneuver planning by exploiting Two-Line-Element (TLE) data as initial step, then moving on to Global Positioning System (GPS) processed data. The case study is a low-thrust engine validation mission in Low Earth Orbit. The first algorithm exploits a couple of TLEs as boundary conditions to set up a least-squares problem and find the tangential thrust magnitude and firing duration to best fit the bounding orbital states, making use of Taylor differential algebra and Picard iterations. The second one makes use of a sequence of GPS states to apply multistep finite differences and a root-finding algorithm to retrieve information about both thrust profile and firing bounding times.
Keywords
Low-Thrust Maneuver Estimation, Semi-analytic Method, Anomaly Detection
Published online 11/1/2023, 5 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Riccardo Cipollone, Pierluigi di Lizia, Low-thrust maneuver anomaly detection of a cooperative asset using publicly available orbital data, Materials Research Proceedings, Vol. 37, pp 625-629, 2023
DOI: https://doi.org/10.21741/9781644902813-136
The article was published as article 136 of the book Aeronautics and Astronautics
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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