ISS-based robust adaptive fuzzy algorithm for maintaining a ship’s track

Abstract

This paper focuses on the problem of linear track keeping for marine surface vessels. The influence exerted by sea currents on the kinematic equation of ships is considered first. The input-to-state stability (ISS) theory used to verify the system is input-to-state stable. Combining the Nussbaum gain with backstepping techniques, a robust adaptive fuzzy algorithm is presented by employing fuzzy systems as an approximator for unknown nonlinearities in the system. It is proved that the proposed algorithm that guarantees all signals in the closed-loop system are ultimately bounded. Consequently, a ship’s linear track-keeping control can be implemented. Simulation results using Dalian Maritime University’s ocean-going training ship ‘YULONG’ are presented to validate the effectiveness of the proposed algorithm.

Keywords

ISS theory / adaptive control / fuzzy system / ship track-keeping