Surrogate based blended-wing-body underwater glider shape optimization design

基于代理模型的翼身融合水下滑翔机外形优化设计

¹ School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China
² Key Laboratory for Unmanned Underwater Vehicle, Northwestern Polytechnical University, Xi'an 710072, China
³ Luoyang Institute of Electro-Optical Equipment, Aviation Industry Corporation of China, Luoyang 471000, China

Received: 27 May 2020

Abstract

In order to improve the design quality and optimization efficiency for blended-wing-body underwater glider(BWBUG) shape design optimization problems, a surrogate-based blended-wing-body underwater glider shape optimization(SBUGSO) framework is proposed. The aim is to maximize the lift to drag ratio(LDR) of BWBUG with the constrain that the displacement volume of the optimal shape is larger than that of the initial shape. The LDR of the optimal BWBUG is improved by 24.32% with acceptable computational resources. The optimization results show that the present SBUGSO framework can efficiently decrease the computational resource, and improve the hydrodynamic performance and loading capacity of BWBUG. Comparing with the other optimization algorithms, SBUGSO framework shows the significant superiority.

摘要

为了提高翼身融合水下滑翔机(blended-wing-body underwater glider，BWBUG)外形的设计质量与优化效率，提出一种基于代理模型的翼身融合水下滑翔机外形优化(surrogate-based blended-wing-body underwater glider shape optimization，SBUGSO)框架。以最大升阻比(lift to drag ratio，LDR)为优化目标，排水体积不减小为约束条件，对翼身融合水下滑翔机外形进行优化。优化后的翼身融合水下滑翔机升阻比提高了24.32%，研究表明提出的基于代理模型的翼身融合水下滑翔机外形优化框架能够有效降低计算资源，同时提高水下滑翔机流体动力性能和排水体积，相比其他优化算法，具有明显优势。