Dr. Francesco Amadori Profile

Dr. Francesco Amadori

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Proceedings Article | 11 June 2021 Open Access

Formation flying performances simulator for the shadow position sensors of the ESA PROBA-3 mission

Gerardo Capobianco, Francesco Amadori, Silvano Fineschi, Alessandro Bemporad, Marta Casti, Davide Loreggia, Vladimiro Noce, Maurizio Pancrazzi, Federico Landini, Cedric Thizy, Raphael Rougeot, Damien Galano, Jorg Versluys

Proceedings Volume 11852, 118526P (2021) https://doi.org/10.1117/12.2600310

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PROBA-3 (PRoject for OnBoard Autonomy) is an ESA mission to be launched on beginning of 2023 where a spacecraft is used as an external occulter (OSC-Occulter Spacecraft), to create an artificial solar eclipse as observed by a second spacecraft, the coronagraph (CSC-Coronagraph Spacecraft). The two spacecrafts (SCs) will orbit around the Earth, with a highly elliptic orbit (HEO), with the perigee at 600 km, the apogee at about 60530 km and an eccentricity of ≈ 0.81. The orbital period is of 19.7 hours and the precise formation flight (within 1 mm) will be maintained for about 6 hours over the apogee, in order to guarantee the observation of the solar corona with the required spatial resolution. The relative alignment of the two spacecrafts is obtained by combining information from several subsystems. One of the most accurate subsystems is the Shadow Position Sensors (SPS), composed of eight photo-multipliers installed around the entrance pupil of the CSC. The SPS will monitor the penumbra generated by the occulter spacecraft, whose intensity will change according to the relative position of the two satellites. A dedicated algorithm has been developed to retrieve the displacement of the spacecrafts from the measurements of the SPS. Several tests are required in order to evaluate the robustness of the algorithm and its performances/results for different possible configurations. A software simulator has been developed for this purpose. The simulator includes the possibility to generate synthetic 2-D penumbra profile maps or analyze measured profiles and run different versions of the retrieving algorithms, including the “on-board” version. In order to import the “as-built” algorithms, the software is coded using Matlab. The main aspects of the simulator, such as the results of the simulations, with the inclusion of some specific case studies, will be reported and discussed in this paper.

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