Physics

Control engineering

Torque

Aerospace engineering

Mathematics

Agronomy

Biology

Adaptive control

Engineering

Mathematical analysis

Inertial frame of reference

Artificial intelligence

Attitude control

Controller (irrigation)

Control (management)

Computer science

Quantum mechanics

Spacecraft

Bounded function

Control theory (sociology)

Angular velocity

Thermodynamics

IEEE Transactions on Cybernetics

This paper investigates a novel leader-following attitude control approach for spacecraft formation under the preassigned two-layer performance with consideration of unknown inertial parameters, external disturbance torque, and unmodeled uncertainty. First, two-layer prescribed performance is preselected for both the attitude angular and angular velocity tracking errors. Subsequently, a distributed two-layer performance controller is devised, which can guarantee that all the involved closed-loop signals are uniformly ultimately bounded. In order to tackle the defect of statically two-layer performance controller, learning-based control strategy is introduced to serve as an adaptive supplementary controller based on adaptive dynamic programming technique. This enhances the adaptiveness of the statically two-layer performance controller with respect to unexpected uncertainty dramatically, without any prior knowledge of the inertial information. Furthermore, by employing the robustly positively invariant theory, the input-to-state stability is rigorously proven under the designed learning-based distributed controller. Finally, two groups of simulation examples are organized to validate the feasibility and effectiveness of the proposed distributed control approach.

Learning-Based Adaptive Attitude Control of Spacecraft Formation With Guaranteed Prescribed Performance