水下自航行器外形及水动力性能优化

Configuration and Hydrodynamic Performance Optimization of Autonomous Underwater Vehicle

摘要:

研究水下自航行器(AUV) 外形及水动力性能优化的问题,为使得AUV具有较小航行阻力的同时拥有较大承载能力,需要不断进行AUV模型重建以及水动力结果分析,人工完成将会耗时很长,Isight多学科优化设计平台搭载常用的优化算法—NSGA-II遗传算法,整合Solidworks、Gambit、Fluent三大集成模块实现数据交换以进行AUV外形的建模、仿真并完成设计过程的自动化和智能的设计探索,确定最佳设计参数；仿真结果表明,最终优化后的AUV不仅减小了航行阻力并且拥有更大的承载能力；因此采用多学科优化软件Isight能够有效提高AUV外形及水动力性能优化的准确性和效率,提升其整体水动力性能。

Abstract:

For the lower navigation resistance but the stronger carrying capacity of autonomous underwater vehicle, the modeling restruction and hydrodynamic performance analysis of AUV must be ongoing, which will be quite time-consuming manually. Isight,providing a multidisciplinary optimization design platform assembled with common optimization algorithm—the NSGA-II genetic algorithm,integrates Solidworks、Gambit、Fluent to modeling and simulating of the AUV shape to complete the design process of the design automatically and intelligently to achieve the optimum design parameters. The results indicate that the ultimate shape parameters of the AUV after optimization appears the lower navigation resistance but the stronger carrying capacity. Hence Isight is able to further strengthen the computing efficiency and practicability of AUV’s configuration and hydrodynamic performance optimization to improve its whole hydrodynamic performance.