欢迎访问《太阳能学报》官方网站,今天是 分享到:
ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (9): 218-225.DOI: 10.19912/j.0254-0096.tynxb.2021-0253

• • 上一篇    下一篇

基于多岛遗传算法的钝尾缘翼型多目标优化设计

覃锴, 伊鹏辉, 刘兆方, 黄典贵   

  1. 上海理工大学能源与动力工程学院,上海 200093
  • 收稿日期:2021-03-08 出版日期:2022-09-28 发布日期:2023-03-28
  • 通讯作者: 黄典贵(1963—),男,博士、教授,主要从事空气动力学方面的研究。dghuang@usst.edu.cn
  • 基金资助:
    国家自然科学基金(51906155)

MULTI-OBJECTIVE OPTIMIZATION DESIGN FOR BLUNT TRAILING-EDGE AIRFOIL BASED ON MULTI-ISLAND GENETIC ALGORITHM

Qin Kai, Yin Penghui, Liu Zhaofang, Huang Diangui   

  1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2021-03-08 Online:2022-09-28 Published:2023-03-28

摘要: 针对大型水平轴风力机叶片运行工况复杂和结构强度要求高的问题,提出一种钝尾缘翼型的多目标优化方法。基于多岛遗传算法,采用Hicks-Henne型函数和钝尾缘函数对钝尾缘翼型进行参数化拟合,通过Matlab软件自编程序调用XFOIL气动分析软件进行流场分析,对选定翼型进行多工况多目标优化设计。整个优化过程集成在Isight平台中,可实现自动优化。采用上述方法,选用NACA63921翼型作为初始翼型进行多目标优化,利用Fluent转捩模型对得到的钝尾缘翼型进行CFD数值验证,并与几种常见的同厚度翼型进行对比。数值验证表明,优化得到的钝尾缘翼型在多个工况点下的升阻比均高于同厚度的FFA、DU系列等现有风力机翼型,在失速工况区流动分离延后,具有更好的气动稳定性。

关键词: 风力机, 钝尾缘翼型, 优化设计, 多岛遗传算法

Abstract: A multi-objective optimization method for blunt trailing-edge airfoil is proposed to solve the problem that large horizontal axis wind turbine has a high requirement on aerodynamic performance and structural strength of blades under complex operating conditions. A parameterization method combining Hicks-Henne type function and blunt trailing edge function is adopted to fit the blunt trailing-edge airfoil. A Matlab code is using to call XFOIL for the airfoil aerodynamic performance analysis and to calculate the objective function. Finally, based on Multi-Island Genetic Algorithm (MIGA), a multi-objective and multi-working condition optimization process of the airfoil is integrated into the Isight platform which achieves automatic optimization. Using the above method, NACA63921 airfoil is selected as the initial airfoil for multi-objective optimization. Fluent Transition model is adapted to verify the aerodynamic performance of the optimized blunt trailing-edge airfoil and then the simulation results are compared with several common airfoils of the same thickness such as FFA, DU series. Numerical verification shows that the lift-drag ratio of the optimized blunt trailing-edge airfoil is higher than that of several common wind turbine airfoils with the same thickness under most operating conditions. In stall conditions, the flow separation of optimized airfoil is delayed which leads to more stable flow on the airfoil surface.

Key words: wind turbines, blunt trailing-edge airfoil, optimization design, Multi-Island Genetic Algorithm

中图分类号: