基于遗传算法的风力机叶片优化  

Optimal of Wind Turbine Blades based on Genetic Algorithm

作　　者：梁智森 李崇建[1,2] 李进[1,2] 张红香[1,2] 常迎杰[1,2] 

机构地区：[1]兰州理工大学数字制造技术与应用省部共建教育部重点实验室,甘肃兰州730050 [2]兰州理工大学机电工程学院,甘肃兰州730050

出　　处：《新技术新工艺》2014年第11期61-63,共3页New Technology & New Process

摘　　要：绍了遗传算法的基本知识并提出了风力机叶片优化设计模型,采用全局优化的方法,以叶片各截面年发电量最大为设计目标,叶片各截面处的弦长和扭角为优化变量,使用遗传算法进行了搜索寻优。以1.5 MW风力机为例,利用MATLAB软件中已开发的优化程序设计并优化叶片,把用全局优化方法设计的叶片与Glauert方法所设计的叶片进行了比较,同时把所设计的叶片与已有叶片相比,结果表明其输出功率明显增加,从而说明了该方法的有效性。The basic knowledge of the genetic algorithm was presented,a model for optimization design of wind turbine blades was also presented,the method of globe optimization was used,optimization search was carried out by using genetic algorithm with a goal of the annual energy output and optimization variable of chord length and torsin angle in every section of the wind turbine blades.Taking the wind turbine of 1.5 MW as a example,wind turbine blades is designed by using devel-oped program of the optimization design in MATLAB.Comparing with the having wind turbine,output power of wind tur-bine was obviously improved,which demonstrated that the method is effective.

关 键 词：风力机 叶片 遗传算法 优化设计 

分 类 号：O324[理学—一般力学与力学基础]