Constrained control using novel nonlinear mapping for underactuated unmanned surface vehicles with unknown sideslip angle.

This paper addresses the problem of guidance and control for underactuated unmanned surface vehicles (USVs) with state constraints and input saturation, in support of enabling an underactuated USV to follow a parameterized curved path in the case of unknown sideslip angle and cross-tracking error constraint. First, a cross-tracking error constraint line-of-sight (LOS) guidance law with sideslip angle compensation is originally designed to guide an underactuated USV to convergence to the desired path within a time-varying cross-tracking error constraint. Second, a novel nonlinear mapping (NM) function is first constructed to map the heading and surge control subsystems with state constraints to unconstrained nonlinear systems, transforming the constrained control problem into the unconstrained control problem. Subsequently, adaptive fuzzy control laws are designed to achieve the control objectives for the USV using the new unconstrained nonlinear systems with unknown disturbance and input saturation. Then, a series of theoretical analyses using input-to-state stability theories are presented to prove the boundness of the tracking errors for the underactuated USV during path following. Finally, numerical results obtained using a physics-based simulation model are shown to reveal the effectiveness of the guidance and control algorithms. • Design a cross-tracking error constraint LOS guidance algorithm with sideslip compensation. • Propose a novel nonlinear mapping function to deal with the constraint control for nonlinear systems. • Construct the unconstrained nonlinear system by the proposed nonlinear mapping function. • Propose adaptive fuzzy control laws with input saturation using the new unconstrained nonlinear system. [ABSTRACT FROM AUTHOR]