Adaptive Kinematic Control of Underwater Cable-Driven Parallel Robot

Abstract

We previously proposed on the underwater cable-driven parallel robot (UCDPR), a system comprising multiple surface robots, and designed a modeling and trajectory tracking control method for it. However, the conventional trajectory tracking control of the UCDPR using the kinematic controller faced several issues. These included challenges in control gain tuning due to model uncertainty and a decline in trajectory tracking performance caused by changes in system characteristics due to environmental factors like current velocity. In response, this study focuses on the development of an adaptive kinematic controller. The aim is to mitigate the effects of uncertainties and other factors while ensuring effective trajectory tracking. This is achieved by incorporating an adaptive modification term into the conventional kinematic controller, which can be tuned adaptively in real-time. To validate the effectiveness of the adaptive kinematic controller, we conducted numerical simulations using a planar 2-DOF UCDPR.