In this paper, the possibility of using a Small Water-plane Area Twin Hull (SWATH) as an unmanned Arctic scientific research vessel is analyzed. Before carrying out the stability analysis of the SWATH ship, this paper briefly outlines the importance of the Arctic survey, which guides the importance of the new research ship for Arctic scientific exploration. In addition to being used as a long-tern monitoring and data collection platform, it is also used as a recovery mothership for autonomous equipment such as an AUV. After briefly introducing the basic background of a SWATH, it’s advantages and disadvantages are enumerated and analyzed, and a combination of theoretical and practical tests are used to conduct a brief analysis and summary of the reasons for the appearance of trim by head arising from SWATH navigation. Trim by head occurs when a vessel incline such that its plane of flotation is not coincident with its mean waterline plane. In terms of theory, hydrodynamic equations are used to theoretically deduce the SWATH state of navigation and get the corresponding characteristic equation. Finally, a new type USV be designed conceptionally and be created as a model by Solid-work software. Conceptual design combines the advantages of SWATH and remedy deficiency of its longitudinal stability. The theoretical calculation and analysis of the struts of the conceptual model proves that the oblique struts structure can effectively improves the transverse stability of the model, and with the help of the special slender ellipse structure which is installed on the model’s struts, the righting moment of the model is increased when it’s heeling during a large angle. The hydrodynamic analysis of the conceptual model is carried out by Star- CCM software. The simulation results also prove the effectiveness of stabilizer fins to the longitudinal stability of the conceptual design and reflects the data information of the model in terms of resistance and motion state. At last, we have a general understanding of the performance characteristics of the conceptual model by analysis the feedback data, which provides reliable support for future improvement and optimization. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2018. / FAU Electronic Theses and Dissertations Collection