Autonomous Navigation Algorithm for GEO Satellites During Hall Thruster Trajectory Control in All-Time

This paper mainly studies the autonomous navigation and orbit propagation algorithm of the Hall electric propulsion as the thrust control device for geostationary orbit satellites during the thrust control period. Compared with low-altitude satellites, high-altitude satellites generally have relatively poor GNSS velocity measurement accuracy during thrust control, as well as small thrust generated by the Hall electric propulsion, and the tachometer on the large-inertia, large-mass satellite cannot accurately measure the thrust control acceleration, resulting in a decline in the original autonomous navigation accuracy during thrust control. This paper proposes a joint autonomous navigation algorithm for the Hall electric propulsion during thrust control using the EKF and local optimal filtering. The EKF filter suppresses the measurement white noise of the GNSS positioning data, and then the local optimal filter estimates the Hall electric propulsion acceleration and feeds it back to the EKF filter algorithm in real time to improve the navigation accuracy of the Hall electric propulsion during operation. Simulation results show that the joint autonomous navigation algorithm based on the above filtering method can accurately estimate the size of the Hall electric propulsion acceleration, and can effectively improve the autonomous navigation accuracy during continuous small thrust control.