1. Robust adaptive position and attitude-tracking controller for satellite proximity operations.
- Author
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Zhou, Bang-Zhao, Liu, Xiao-Feng, and Cai, Guo-Ping
- Subjects
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ARTIFICIAL satellite attitude control systems , *ARTIFICIAL satellite tracking , *UNCERTAIN systems , *KALMAN filtering , *ARTIFICIAL satellites , *NONLINEAR systems , *ADAPTIVE control systems - Abstract
This paper studies the pose tracking control problem for satellite proximity operations between a target and a chaser satellite, by which we mean that the chaser is required to track a desired time-varying trajectory given in advance with respect to the target. Firstly, by consulting an adaptive sliding-mode control method in literature developed for a class of nonlinear uncertain systems, an effective pose tracking controller is obtained. This controller requires no information about the mass and inertia matrix of the chaser, and takes into account the gravitational acceleration, the gravity-gradient torque, the J 2 perturbing acceleration, and unknown bounded disturbance forces and torques. Then, an updated controller is proposed by combining the aforementioned controller and the unscented Kalman filter (UKF). This updated controller estimates the inertial parameters of the chaser through UKF, so it is of better adaptive ability to the initial estimation of the inertial parameters. Finally, numerical simulations are given to demonstrate the effectiveness of the proposed controllers. The simulation results show that the updated controller is more accurate. • An adaptive sliding-mode (ASM) controller is designed for pose tracking, and both unknown bounded disturbances and the uncertainty of the inertial property are considered. • The adaptive ability of the proposed method to the initial estimation of the inertial parameters is improved by combining ASM and UKF. • Our methods have a wider application and need less computing resource. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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