空气动力学学报2013，Vol.31Issue(1)：132-136,5.DOI:10.7638/kqdlxxb20130123
基于自由涡尾迹和遗传算法的叶尖小翼气动优化设计
Aerodynamic optimal design of winglet based on free vortex wake method and genetic algorithm
摘要
Abstract
Forked winglet can improve the aerodynamic performance of wind turbine blades.Taking the maximum power coefficient and the minimum thrust coefficient as the optimization objectives, couple the free vortex wake (FVW) method and the fast and elitist non-dominated sorting genetic algorithm (NSGA-Ⅱ) to optimize the winglet shape.NSGA- Ⅱ can obtain the Pareto-optimal solutions of winglet shape by evaluating, selecting and mutating the population members, of this aerodynamic performance is calculated by FVW method.The results indicate that FVW method could simulate the aerodynamic performance accurately, and two objectives optimization gives a Pareto-optimal solution set distributing on a curve rather than the particular optimum solution.Power coefficient can be increased by 30 percent than original NREL blade.The distribution of winglet geometry has some regularity which can guide the later works of design and modification.关键词
风力机/叶尖小翼/自由涡尾迹/快速非支配排序遗传算法/气动优化设计Key words
wind turbine/ winglet/ free vortex wake/ fast and elitist non-dominated sorting genetic algorithm/ aerodynamic optimal design分类
数理科学引用本文复制引用
许波峰,王同光,张震宇,王珑..基于自由涡尾迹和遗传算法的叶尖小翼气动优化设计[J].空气动力学学报,2013,31(1):132-136,5.基金项目
国家科技支撑计划项目(2009BAA22B03) （2009BAA22B03）
江苏省优势学科建设工程资助项目 （）
国家自然科学基金(11172135) （11172135）
南京航空航天大学基本科研业务费专项科研项目资助(NJ2011003) （NJ2011003）
