Event-triggered dynamic performance constraint control for trajectory tracking of unmanned surface vehicle
摘要
This study investigates the trajectory tracking transient performance control problem for Unmanned Surface Vehicles (USVs) under event-triggered conditions. First, a fixed-time disturbance observer (FTDO) is designed to achieve real-time precise estimation of external time-varying disturbances. Second, an improved logarithmic barrier Lyapunov function (BLF) is adopted to effectively enhance the accuracy and safety of path tracking for unmanned vessels under complex marine conditions. Finally, an event-triggered mechanism is introduced to reduce the controller update frequency and system computational burden. The designed control law ensures state constraint control while reducing energy consumption. Theoretical analysis proves the uniformly ultimately bounded stability of the closed-loop system. Simulation results from the SimuNPS software show that this method effectively achieves accurate trajectory tracking for high-speed USVs.