Simulation Model Driven by Ship Maneuverability Differences

His study investigates the impact of differences in ship maneuvering performance on intelligent collision avoidance strategies. By establishing a three-degree-of-freedom (3-DOF) ship motion equation based on the MMG model and integrating an adaptive neural network controller, a systematic comparative analysis was conducted on three representative ship types, KVLCC2, SR108, and KCS—under crossing and head-on scenarios. Simulation results reveal distinct maneuvering characteristics among different ship types and analyze the underlying causes. The study further elucidates the constraint mechanisms imposed by ship-type maneuvering differences on collision-avoidance decision-making, proposing optimization directions for strategy design based on ship-specific characteristics. This provides a theoretical foundation for constructing a parameterized adaptive framework in intelligent collision-avoidance systems.