基于Pareto遗传算法的机翼多目标优化设计研究

Exploring Combination of Pareto Genetic Algorithm(GA) with Aerodynamic Analysis Software for Multi-Objective Optimization of Wing

文章将多目标优化方法中的Pareto遗传算法与能准确描述翼型无粘性流动的Euler方程以及旋翼气动分析模型结合起来,以旋翼悬停效率和固定翼的升阻比作为优化设计的目标对需同时满足旋翼和固定翼两种使用要求的机翼进行了多目标优化设计。设计结果表明通过优化设计的机翼在气动性能上得到了提高,达到了优化设计的目的,文中发展的机翼优化设计方法是可行的。

Aim. To our knowledge, there is no paper in the open literature exploring the topic mentioned in the tifie. We combine two things ： （ 1 ） the Pareto genetic algorithm （GA） as applied to the multi-objective optimization of a wing; （2） CFD （ computational fluid dynamics） optimization method and aerodynamic analysis software. Our exploration, besides combining the above-mentioned two things, should be such as to allow the optimized wing to be used either as a rotary wing or a fixed one. Section 1 of the full paper is entitled Pareto CA ; We give Fig. 1 as the block diagram for the MOGA （multi-objective GA） optimization flow chart. Subsection 2.1 presents the engineering estimation method for rotary wing and subsection 2.2 presents that for fixed wing. Section 3 gives a numerical example of multi-objective optimization of wing ; the hovering efficiency of rotary wing and the ratio of lift coeflleient to drag coefficient of fixed wing are selected as the design objectives. The results of the numerical example are given in Figs. 2 and 3 and Table 1. The discussion in section 3 of these results shows preliminarily that the method for multi-objective optimization of wing, proposed by us, is feasible.