LAUSR

Abstract As the Unmanned Surface Vehicle (USV) plays an increasingly important role in ocean exploration, the performance requirements of the USV are becoming higher and higher. This paper presents a parametric automatic multi-objective optimization design of USV based on two-step optimization strategy. The focus of our work is on the parametric automatic optimization design of USV hull form with respect to resistance and seakeeping in waves. The wave resistance, the vertical acceleration of the center of gravity, and the pitch amplitude of the USV are selected as the optimization objectives. The parametric modeling and design variables are selected for the hull. Second order Response Surface Method (RSM) is used to build approximate model instead of numerical simulation in the optimization process to reduce the optimization time. The Particle Swarm Optimization (PSO) algorithm and Sequential Quadratic Programming (SQP) algorithm are used to solve the optimization model. Through the integration of NX, STAR-CCM+, and Excel in the intelligent platform, automatic optimization is realized. The effectiveness of the automatic optimization design method is verified by taking a 7 m USV as an example. This method provides a solution for the automatic optimization design of the USV hull form.