无人水下航行器（UUV）是多学科交叉的复杂耦合系统，采用多学科设计优化（MDO）可以大大缩短UUV研发周期，提升UUV总体性能。针对UUV的总体设计，开展模块化学科划分，建立各学科分析模型。由于UUV总体系统属于多变量高维空间，单一的优化方法并不能得到全局范围的最优解，采用序列二次规划法结合自适应模拟退火法以及序列二次规划法结合多岛遗传算法的组合优化设计方法，基于协同优化策略，开展以UUV总重量为主优化目标的多学科设计优化，并利用仿真分析对优化后的UUV结构强度与稳定性进行校验。由优化设计的结果可以看出，UUV满足各个子系统约束的前提下，有效地减小了UUV总重量。
UUV is a multi-disciplinary complex coupling system. MDO method can greatly shorten the UUV development cycle and improve the overall performance of UUV. For the overall design of UUV, modularization division was carried out, and analysis models of various disciplines are established. Since the UUV overall system belongs to multivariate high-dimensional space, a single optimization method cannot obtain the global solution optimal solution, and the sequential quadratic programming method was combined with adaptive simulated annealing method and multi-island genetic algorithm, based on collaborative optimization strategy, multi-disciplinary design optimization on UUV total weight optimization target was carried out; and UUV structural strength and stability were verified using simulation analysis. It can be seen from the results of the optimized design that the UUV total weight reduced effectively under the premise that the UUV meets the constraints of each subsystem.
2020,42(2): 77-81 收稿日期：2019-03-10
DOI：10.3404/j.issn.1672-7649.2020.02.015
分类号：TH133;TP183
基金项目：国家自然科学基金面上项目（51679057）
作者简介：严浙平(1972-),男,博士,教授.研究方向为海洋运载器理论控制与工程应用技术
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