Autonomous Underwater Vehicle Hull Geometry Optimization Using A Multiobjective Algorithm Approach

In this paper, a new approach to optimize an autonomous underwater vehicle (auv) hull geometry is presented. using this methode, the nose and tail of an underwater vehicle are designed, such that their length constraints due to the arrangement of different components in the auv body are properly addressed. in the current study, an optimal design for the body profile of a torpedo-shaped auv is conducted, and a multi-objective optimization scheme based on the optimization algorithm nondominated sorting genetic algorithm-ii (nsga-ii), as an evolutionary algorithm is employed. in addition, predefined geometrical constraints were considered so that equipment with the specific dimensions can be placed inside the auv space without any effect on the auv volume and the wetted surface. by optimizing the parameters of the newly presented profile, in addition to maximizing the volume and minimizing the wetted surface area, more diversed shapes can be achieved than with the ‘myring’ profile. a cfd analysis of the final optimal design indicates that with the help of the proposed profile, the hydrodynamic parameters for the auv hull were effectively improved.