AOCS telemetry open data of the TUBIN small satellite mission

Introduction Telemetry data from the TUBIN small satellite from TU Berlin, for its whole mission lifetime from its launch on 30.06.2021 until its reentry on 16.12.2025. Nomenclature AOCS Attitude and Orbit Control System COG Center Of Gravity FLX Fluxgate magnetometer FOR Fiber Optic Rate sensor GPS Global Positioning System LRR Laser Retroreflector MFS Magnetic Field Sensor (MEMS) MOI Moment Of Inertia MTS Magnetorquer System RWS Reaction Wheel System SAT Satellite body-fixed coordinate system SLR Satellite Laser Ranging SSU Sun Sensor Unit STR Star Tracker TOD True Of Date (Earth-centered inertial) coordinate system Notes about telemetry data In TmGps_87.csv, the timestamp comes from the GPS' position/velocity/time solution. In all other data files, the timestamp comes from the satellite onboard time, which is GPS-locked, but slightly shifted from the GPS clock. The position and velocity data present in other files was propagated to match the satellite's time. Satellite coordinate system See drawing at SAT_axes.png to see the axis convention. Spacecraft properties The file sc_properties_TB.yaml contains the following spacecraft properties: Key Description norad Norad ID sic Satellite Identification Code, a 4 digit satellite descriptor. See Consolidated Laser Ranging Data Format cospar COSPAR ID mass Spacecraft mass in kg moi 3*1 array, principal values of inertia in SAT frame in kg/m^2 q_SAT_from_MOI 4*1 array representing the quaternion for the transformation from MOI to SAT frame cog 3*1 array, COG position in SAT frame in meters Laser retroreflectors (LRRs) The file lrr_positions_TB.csv contains the position and orientation of the LRRs. The data format is the following: Column names Description name Name of the LRR pos_sat_mm_[x,y,z] Position of the LRR [x,y,z] in SAT frame in millimeters [v_sat_x, v_sat_y, v_sat_z] Mounting direction (convention: towards the outside) of the LRR in SAT frame; Unitless, unit vector Python environment A uv-based Python environment is available at pyproject.toml . A Jupyter notebook example to load and plot some telemetry data is available at plotting.ipynb