Adaptive Finite-Time 6-DOF Tracking Control for Spacecraft Fly Around With Input Saturation and State Constraints

• Published in: IEEE transactions on aerospace and electronic systems Vol. 55; no. 6; pp. 3259 - 3272
• Main Authors: Huang, Yi, Jia, Yingmin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; adaptive finite time control; attitude and position control; Attitude control; Computer simulation; Control design; Control systems design; Control theory; Convergence; Couplings; Disturbances; input saturation; Liapunov functions; Lyapunov methods; Mathematical model; Mathematical models; Parameter uncertainty; Position control; Saturation; Space vehicles; Spacecraft; spacecraft fly-around mission; Spacecraft tracking; state constraints; Tracking control; Tracking errors
• ISSN: 0018-9251; 1557-9603
• DOI: 10.1109/TAES.2019.2906096

An adaptive finite-time control scheme is developed for noncooperative spacecraft fly-around subject to input saturation, full-state constraints, dynamic couplings, parameter uncertainties, and disturbances. Different from traditional fly-around model based on C-W equation, the derived 6-DOF spacecraft fly-around model can be suitable for noncooperative case in close proximity. By using the backstepping control technique, an integrated adaptive finite-time control law is designed, in which the tan-type barrier Lyapunov function (BLF) is incorporated to handle the full-state constraints. Meanwhile, the unknown dynamic couplings, parameter uncertainties, and disturbances are attenuated effectively by using adaptive estimation technique and the adverse effects raised from input saturation are reduced by the designed saturation compensator. Based on the constructed BLF, it is shown that the designed adaptive finite-time controller can guarantee that full-state constraints are not breached, but also can drive relative position and attitude tracking errors into the accurate convergent regions with finite-time convergence. Finally, the performance and advantage of the designed adaptive finite-time control scheme are demonstrated by numerical simulations.