中国机械工程2009，Vol.20Issue(20)：2448-2451,2469,5.
基于自适应遗传算法的风力机通用翼型的优化设计研究
Research on Optimization of General Airfoil Profiles for Wind Turbines Based on Adaptiv e Genetic Algorithm
摘要
Abstract
Airfoil profiles for wind turbines are mostly chosen from aviatic ones,but design requirements between the two types are different in many aspect. So optimization methods from ordinary aviatic airfoil profiles to profiles used in wind turbines become very important. The general and integral e-quation of airfoil profiles based on Trajkovski transform and genetic algorithm were integrated to construct a universal optimization method of general airfoil profiles for wind turbines, which could attain specific airfoil profiles for wind turbines by optimizing ordinary aviatic ones. The method constructed adaptive crossover and mutation operators and adopted optimal individual preservation strategy in order to solve immature convergence. Airfoil flow field analysis was made with Reynolds - averaged Navier-Stokes equations,and resulted lift and drag coefficients were taken as objective function in optimizing GA program. It is concluded from results, the optimized airfoil profiles maintaine basic characteristics of ordinary aviatic airfoil profiles and acquire better aerodynamic performance,and they are more beneficial in wind turbines.关键词
翼型/泛函集成/自适应遗传算法/优化/气动性能Key words
airfoil profile/ functional integration/ adaptive genetic algorithm/ optimization/ aerodynamic performance分类
能源科技引用本文复制引用
陈进,陆群峰,王旭东,程江涛..基于自适应遗传算法的风力机通用翼型的优化设计研究[J].中国机械工程,2009,20(20):2448-2451,2469,5.基金项目
国家自然科学基金资助项目(50775227) （50775227）
重庆市自然科学基金资助重点项目(CSTC,2008BC3029) （CSTC,2008BC3029）
