Maneuver Detection and Reconstruction of Stationkeeping Spacecraft at GEO using the Optimal Control-Based Estimator

In this paper, we develop an algorithm called the Optimal Control-Based Estimator, which is an optimal state estimator that provides information on mismodeled dynamics including natural dynamics and actuated maneuvers. We then apply this algorithm to a tracking problem where satellites in GEO undergo unknown autonomous stationkeeping maneuvers. Through these simulations we demonstrate this algorithm's ability to detect and reconstruct maneuvers given no a priori information about these maneuvers. The specific simulations in this paper demonstrate these properties for two different maneuvers models: (1) continuous smooth thrusting and (2) an impulsive control law.