风力机翼型动态失速优化及气动特性分析

张强; 常林森; 缪维跑; 李春; 岳敏楠; 匡柳

doi:doi:10.19912/j.0254-0096.tynxb.2024-1018

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风力机翼型动态失速优化及气动特性分析

更新时间：2025-12-17

- 风力机翼型动态失速优化及气动特性分析
- Issue 10, Pages: 680-688(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1018
  CLC： K83
- Published Online：31 October 2025，
  
  Published：31 October 2025
- 稿件说明：
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张强, 常林森, 缪维跑, et al. 风力机翼型动态失速优化及气动特性分析[J]. 2025, (10): 680-688.
DOI：

张强, 常林森, 缪维跑, et al. 风力机翼型动态失速优化及气动特性分析[J]. 2025, (10): 680-688. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1018.

摘要

风力机叶片旋转时流动分离引发的动态失速会使得气动力急剧恶化。为提高翼型动态失速特性

建立一种基于代理模型的翼型气动优化框架。首先

对翼型进行参数化表征

通过拉丁超立方抽样方法在设计空间获得模型训练样本的输入向量

并利用CFD方法求解对应响应值。其次

通过高斯过程回归构建翼型气动外形与气动力的代理模型

并通过加点准则提高模型精度。最后

以减小气动力波动为目标

结合全局优化算法对一个俯仰周期的气动力进行优化设计。以风力机常用翼型S809为研究对象进行优化

结果表明：较之基准翼型

优化翼型气动外形的改变显著减小了阻力和力矩波动

有效抑制了翼型在下俯阶段的前缘动态失速。

Abstract

Dynamic stall induced by flow separation during the rotation of wind turbine blades can make the aerodynamic forces deteriorate drastically. In order to improve the dynamic stall characteristics of the airfoil

an aerodynamic optimization framework of the airfoil based on a surrogate model is established. The S809 airfoil is taken as the research object. First

the airfoil is parametrically characterized

and the input vectors of the model training samples are obtained by Latin hypercube sampling

and the corresponding response values are solved by CFD method. Secondly

the surrogate model of aerodynamic shape and aerodynamic force of the airfoil is constructed by Gaussian process regression

and the model accuracy is improved by the infill point criterion. Finally

with the objective of reducing the aerodynamic fluctuations

the aerodynamic forces of one pitch cycle are optimized and designed by combining the global optimization algorithm. The results show that compared with the baseline airfoil

the change of aerodynamic shape of the optimized airfoil significantly reduces the drag and moment fluctuations

and effectively suppresses the dynamic stall in the airfoil leading edge during the pitch-down phase.

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