High Fidelity Profile Optimization Design Of Underwater Glider Based On Maneuverability Analysis

The underwater glider,as a new type of underwater robot,has significant importance for the exploration of underwater resources and military strategies.Good maneuverability allows the underwater glider to better accomplish complex tasks.The shape of the underwater glider directly affects its maneuverability.In order to enhance the maneuverability of the underwater glider during operation,this paper focuses on optimizing the glider’s shape based on its maneuverability performance.The main objectives of this study are as follows:The shape of the underwater glider is divided into a rotating hull and horizontal wings,which are individually parameterized.The Myring line method is used for parameterized modeling of the rotating hull,while a FFD parameterization modeling method is proposed for the more complex wings,greatly expanding the range of wing deformation and increasing the variable space for optimization design.Lastly,a rapid calculation method is provided for the thickness and volume constraints of the wings,ensuring that they meet the requirements of the design space and dimensions during deformation.The calculation of hydrodynamic derivatives is the foundation for maneuverability performance analysis.Computational Fluid Dynamics(CFD)is selected as the method to simulate constrained ship model experiments for obtaining hydrodynamic derivatives.Firstly,the reliability of the CFD numerical simulation method used in this study is verified using the SUBOFF submarine model as an example.Then,CFD numerical simulation is performed to obtain the hydrodynamic derivatives of the underwater glider,followed by maneuverability performance analysis based on the derived hydrodynamic derivatives.To improve the optimization efficiency,a maneuverability Kriging model for the glider wings is established.Based on this model,a dynamic sampling optimization method using Kriging is proposed.This optimization method can dynamically add sample points based on certain criteria,even with few initial points,and iteratively update the surrogate model for optimization design,significantly improving the optimization efficiency.By integrating the above methods,the optimization problem of the underwater glider’s shape is described,and an optimization framework for the glider’s wings is constructed.A specific underwater glider model is chosen as a test case to achieve high-fidelity shape optimization design based on maneuverability performance analysis.The optimization results show that the maneuverability performance of the optimized underwater glider is greatly improved compared to the initial shape,validating the effectiveness of the proposed methods in this study.