Robust Tracking of Curvature-Constrained Paths for Uncertain Dubins Systems
It addresses the understudied problem of robust tracking for Dubins systems with uncertainties, providing a convergent solution for vehicles/robots.
The paper develops a robust sliding mode controller for tracking curvature-constrained paths under model uncertainties, achieving zero lateral and heading errors with bounded disturbances. Simulations show significant improvement over existing sliding mode methods.
This paper presents a robust tracking controller for tracking curvature-constrained paths by vehicles/robots with uncertain Dubins dynamics. Although Dubins paths have been widely used in vehicular and robotic applications, robust and convergent tracking under model uncertainties remains understudied. To address this, we propose path tracking controllers based on sliding mode control, formulated in the transverse coordinate frame, which guarantee invariance and convergence of both lateral and heading errors to zero in the presence of bounded disturbances. Simulation results show that the proposed method reliably tracks paths despite disturbances and significantly outperforms existing methods based on sliding mode controllers.