This paper extends and completes a previous investigation performed by the same authors, dedicated to the problem of minimizing the control propellant in the Next Generation Gravity Mission (NGGM). The NGGM aims to measure the temporal variations of the Earth’s gravity field by laser tracking between pairs of satellites in low Earth orbit. In the reference scenario addressed in this paper, the satellites shall operate for at least 7 years at low ≈350 km circular altitude, and active disturbance control (drag control) is required; specifically, all six components of the force/torque acting on the satellite are actively controlled by a set of electric thrusters. The previous work solved the optimization problem for a nominal (no redundancy considered) set of 8 mini-thrusters (FCT, 1-mN class) plus 1 larger thruster (DCT, 10-mN class). In this work, a more realistic mission scenario is addressed taking into account real-world requirements and constraints including functional thruster redundancy to ensure single-failure tolerance and realistic thrust levels and thrust ranges compatible with existing ion thruster types. The results show feasibility with complete single-failure tolerance using 1 + 1 DCT and 8 + 2 FCTs.
Advances in the Control Propellant Minimization for the Next Generation Gravity Mission
Springer Optimization
30.04.2023
31 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
GOCE (Gravity field and Ocean Circulation Explorer) , Mathematical programming , Laser metrology , End-to-End simulator (E2E) , Low-Low Satellite-to-Satellite Tracking (LL-SST) , MAGIC (Mass Change and Geosciences International Constellation) , NGGM (Next Generation Gravity Mission) , Thruster layout and dispatch optimization , Drag Free and Attitude Control System (DFACS) , Global Optimization (GO) , GRACE (Gravity Recovery and Climate Experiment) , Propellant mass minimization , Gravimetry , Electric propulsion , Formation flying Optimization , Operations Research, Management Science , Aerospace Technology and Astronautics , Mathematics , Vibration, Dynamical Systems, Control , Artificial Intelligence , Dynamical Systems and Ergodic Theory , Mathematics and Statistics
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