Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Zhiyao Zhao, Tingyu Fu, Yifei Yan, Bingchen Han, Yueling Xiong, Peng Wu
Institution: Harbin Engineering University
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4414307202