The articulated intervention autonomous underwater vehicle (AIAUV) is an underwater swimming manipulator with intervention capabilities. Station-keeping and trajectory tracking are essential for the AIAUV to be able to move in confined spaces and to perform intervention tasks. In this article, we propose using a generalized super-twisting algorithm (GSTA), which is an extension of the regular super-twisting algorithm, for the trajectory tracking of the position and orientation of the base of the AIAUV in six degrees of freedom (6DOF). We also propose using a higher-order sliding mode observer (HOSMO) for estimating the linear and angular velocities when velocity measurements are unavailable. Furthermore, we show the ultimate boundedness of the tracking errors for a control law using the GSTA and for a control law that combines the GSTA with an HOSMO. We also prove that the GSTA gives global uniform finite-time stability. Finally, we demonstrate the applicability of the proposed control laws with comprehensive simulation and experimental results.
No takes yet. Share an insight, caveat, or question.
Borlaug et al. (2020) studied this question.
Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context: