Global robust adaptive motion control for cable-driven aerial
manipulators with input saturation
- Li Ding
, - Xingyu Liu,
- Rui Ma,
- Chao Tan,
- Ahmed Tijani Musa,
- Guibing Zhu

Abstract
The research in this article explores global robust adaptive motion
control for a cable-driven aerial manipulator in the presence of input
saturation. The investigation begins by considering the physical
attributes of the aerial manipulator and establishing a kinematic and
dynamic model of the system with lumped disturbances. Following this, a
new control law is formulated using the adaptive vector-backstepping
technique, where the adaptive law offers continuous estimation of the
virtual parameters. Moreover, a Gaussian error function is utilized to
tackle the challenge of input saturation. The stability of the
controller proposed is confirmed using Lyapunov theory. Ultimately,
numerical simulations and experimental comparisons are conducted to
validate the accuracy and effectiveness of the proposed control
strategy.