An effective approach for robust design optimization of wind turbine airfoils with random aerodynamic variables
An effective approach for robust design optimization of wind turbine airfoils with random aerodynamic variables
复制标题
具有随机气动变量的风力涡轮机翼型鲁棒设计优化的有效方法
DOI：
10.1177/1687814019879263
复制
发表时间：
2019-09
影响因子：
2.1
通讯作者：
He Wei
中科院分区：
文献类型：
--
作者：
Zhang Xufang;Wu Zhenguang;He Wei
翼型的鲁棒设计优化需要不断实现对几何形状和风气候参数的各种组合的基于概率的气动模拟。当嵌入完整的空气动力学模型进行数值迭代时，模拟时间很长。为此，首先提出基于二阶多项式的响应面模型，将翼型性能指标与几何形状和随机空气动力学变量联系起来。这允许快速评估响应时刻和优化约束。然后，制定鲁棒设计优化，以同时最大化平均空气动力学性能并最小化由于几何和空气动力学参数的变化而导致的设计结果的方差。基于 NACA63418 和具有随机马赫数和雷诺数的 DU93-W-210 翼型的鲁棒设计优化展示了该模型的潜在应用。结果表明，均值空气动力学指标总体得到改善，而方差则最小化，以实现稳健的设计目标。所提出的方法简单而准确，为具有随机空气动力学变量的翼型的鲁棒设计优化提供了一种有吸引力的工具。
The robust design optimization of an airfoil needs to continuously realize the probability-based aerodynamic simulation for various combinations of geometry and wind climate parameters. The simulation time is lengthy when a full aerodynamic model is embedded for the numerical iteration. To this end, a second-order polynomial-based response surface model is first presented to relate the airfoil performance indicator with geometry and random aerodynamic variables. This allows to quickly evaluate the response moments and optimization constraints. Then, the robust design optimization is formulated to simultaneously maximize the mean aerodynamic performance and minimize the variance of design results due to the variation of geometry and aerodynamic parameters. The robust design optimization based on the NACA63418 and the DU93-W-210 airfoils with random Mach and Reynolds numbers is presented to demonstrate potential applications of this proposed model. Results have shown that the mean-value aerodynamic indicator is generally improved, whereas the variance is minimized to archive the robust design objective. The proposed approach is simple and accurate, suggesting an attractive tool for robust design optimization of airfoils with random aerodynamic variables.
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