The Design of Small-Scale Intelligent Hovercraft

To overcome the limitations of traditional hovercraft in complex sea conditions and multifunctional collaborative applications, our team has designed a small intelligent unmanned hovercraft featuring an efficient cushion-lifting system. Based on the core principles of the air-spring model and simulation studies of cushion flow characteristics, we utilized Abaqus software to deeply explore the hovercraft's water-entry dynamics and attitude variations under varying pressures, achieving precise capture of airbag centroid velocity and displacement. A physical model was constructed for CFD simulations, laying a solid foundation for aerodynamic design optimization. The hovercraft integrates multiple sensors, including LIDAR and sonar, to form a comprehensive environmental perception matrix for real-time of obstacle, current and terrain. Driven by data, the intelligent control system incorporates machine learning and expert systems for smart decision-making, enabling precise control of parameters such as speed and steering to achieve adaptive navigation in complex waters or terrains. This innovation opens up new avenues for multi-domain applications and leads the trend in hovercraft technology transformation.