Robot

Adaptive control

Control (management)

Vehicle dynamics

Engineering

Aerospace engineering

Backstepping

Marine engineering

Control engineering

Tracking (education)

Real-time computing

Pedagogy

Unmanned surface vehicle

Computer science

Classical mechanics

Inverse dynamics

Physics

Trajectory

Psychology

Astronomy

Underactuation

Artificial intelligence

Waypoint

Kinematics

Control theory (sociology)

Heading (navigation)

IEEE Transactions on Industrial Informatics

In marine guard, patrol, and racing scenarios, it is of great importance to autonomously helm an underactuated surface vehicle (USV) to accurately achieve successive waypoints tracking (SWT) with prescribed velocities and courses. In this paper, in the presence of completely unknown dynamics and environmental forces, the emerging SWT problem is innovatively solved by creating a novel model-free guidance-control integrated framework. In lieu of direct guidance to the waypoint which inevitably suffers from singularity, a new tool called bridge trajectory (BT) exactly passing through the generalized waypoint (GW) is first developed by defining marching and ahead points, i.e., a marching point (MP) and an ahead point (AP). Combining with pursuit guidance and finite-time unknown observer (FUO), successive BTs are switched ON and OFF, with the aid of MP and AP, respectively. By virtue of the FUO, cascade analysis, filtered backstepping, and Lyapunov approach, BT tracking control laws for surge and yaw motions are further synthesized to ensure successive GWs with desired positions, velocities, and courses can be tracked accurately, and thereby eventually contributing to a BT-guided model-free solution to the SWT problem. Simulation studies on a benchmark USV demonstrate remarkable performance of the proposed method.

Successive Waypoints Tracking of an Underactuated Surface Vehicle