Abstract
According to the characteristics of spacecraft capturing noncooperative targets in orbit, an increment feedback controller based on nonlinear iterative sliding mode is presented. Firstly, the attitude tracking error equation is established, and then, an increment feedback control law based on bounded iterative sliding modes is proposed, which does not need to estimate the uncertain moment of inertia and external disturbances. For comparing, an adaptive sliding mode controller has been designed in the paper. Some numerical simulations have been given in the presence of spacecraft on-orbit capturing noncooperative target, and the simulation results show that the increment feedback controller has strong robustness to the unknown parametric variations and external disturbances and has a smaller control input torque in control process.
Highlights
With the increasing demand of communication and remote inspection, countless of satellites have been launched to space, and a large number of spacecraft debris have been generated simultaneously
E problem of spacecraft attitude control has been researched during the past decades, and most of control methods both linear and nonlinear have been provided
E linear system linearizes the dynamics and kinematics equations of spacecraft at the equilibrium point, and the attitude stability controller for linear system is designed by classical linear control methods such as LQR control, H2 control, H∞ control, and H2 /H∞ control based on representation form of quaternion; the spacecraft attitude motion equations are linearized by Silani and Lovera [1] and Yang [2, 3]
Summary
With the increasing demand of communication and remote inspection, countless of satellites have been launched to space, and a large number of spacecraft debris have been generated simultaneously. E robustness and efficiency of all the classical linear control methods is compared through numerical simulations and practical applications by Silani and Lovera [1], Won [5], and Yang and Sun [4] Nonlinear control such as PID-like control [6], backstepping control [7], sliding mode control [8,9,10], adaptive control [11, 12], inverse optimal control [13], fuzzy control [14], neural-network control [15], and other control methods [16] have been employed to design attitude stability controller, and Lyapunov theory has been utilized to analyze the stability of the whole system.
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