Torque model verification for the GOCE satellite

• Published in: Advances in space research 2018-09, Vol.62 (5), p.1114-1136
• Main Authors: Visser, Tim, Doornbos, Eelco N., de Visser, Coen C., Visser, Pieter N.A.M., Fritsche, Bent
• Format: Article
• Language: English
• Subjects: Gravity field and steady-state Ocean Circulation Explorer (GOCE); Magnetic attitude control; Satellite aerodynamics; Satellite torque modeling
• ISSN: 0273-1177; 1879-1948
• DOI: 10.1016/j.asr.2018.06.025

The modeling of torques acting on satellites is essential for the design of satellite attitude control systems. The GOCE satellite, equipped with accurate accelerometers, star trackers and GPS receivers, presents an opportunity to validate these models. Although the forces on GOCE and other accelerometer-carrying missions have been extensively analyzed in the past, a similar analysis has so far not yet been made for the torques. In this paper, we present a set of torque models for the GOCE satellite. It consists of six main parts: (1) magnetic torquer actuators, (2) aerodynamic torque, (3) gravity gradient torque, (4) solar radiation pressure torque, (5) thruster torque, and (6) passive magnetic torque. The magnetic properties of the payload are approximated using a parametrization, of which the parameters are estimated from the observation data. Based on data recorded during selected spacecraft events, the model for the control torques can be validated and error sources are identified in the other models. The models perform best in roll and pitch, where the standard deviation is reduced to 15.2% and 2.1% of the standard deviation of the control torque around those axes respectively. In yaw the standard deviation is significantly larger at 30.5%. The remaining differences between models and observations show magnetic signatures due to electric currents and signatures of aerodynamic model errors. The latter correspond well with an increase in thermosphere density and wind speed with increased geomagnetic activity. The pitch torque is found to be a potential source of vertical wind data.