Abstract
Rendezvous and docking with noncooperative targets is one of the key technologies for on-orbit service such as satellite maintenance, space supply and space debris cleaning, etc. For the rendezvous and docking with maneuvering noncooperative targets, a relative measurement scheme based on one monocular camera and one distance sensor is designed. A dynamic compensation filter (DCF) is also proposed to estimate the relative state and the unknow maneuver of the noncooperative target. Meanwhile, the control scheme to fulfill the rendezvous and docking mission is given. Compared with the extended Kalman filter (EKF) and variable state dimension estimator (VSDE), the numerical simulation results demonstrate that the proposed estimator has better performance in estimating the relative state and target maneuver. The control scheme based on DCF can accomplish the rendezvous and docking task when the noncooperative target performs time-varying maneuvers.
Highlights
INTRODUCTIONThe number of space satellites has increased dramatically. Noncooperative targets such as disabled satellites and space debris threaten the safety of satellites in normal service [1] [2]
In recent decades, the number of space satellites has increased dramatically
Aiming at the above challenges, i.e. the limitations of observation and difficulties of estimation when the noncooperative target carries out the unknown maneuver(constant or time-varying), this paper has done the following innovative works to complete the navigation and control related to the space rendezvous and docking with maneuvering noncooperative target
Summary
The number of space satellites has increased dramatically. Noncooperative targets such as disabled satellites and space debris threaten the safety of satellites in normal service [1] [2]. In order to accomplish the space rendezvous and docking task with maneuvering noncooperative target, a relative measurement scheme based on one monocular camera and one distance sensor is designed. Guang et al proposed a variable structure estimator (VSE) [11] and observation enhanced Kalman filter (OEKF) [28] based on input compensation These two methods can dynamically estimate constant and time-varying unknown maneuvers when each component of the system state can be observed or can be solved from the observation. Aiming at the above challenges, i.e. the limitations of observation and difficulties of estimation when the noncooperative target carries out the unknown maneuver(constant or time-varying), this paper has done the following innovative works to complete the navigation and control related to the space rendezvous and docking with maneuvering noncooperative target.
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