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基于遗传算法的风力机叶片优化设计
Research on Optimization Design of Wind Turbine Blade Based on Genetic Algorithm
【摘要】 提出了风力机叶片的优化设计模型,模型以动量—叶素理论为基础,首先对风力机的气动性能进行计算,然后根据作用在风力机叶片上的气动力,以风力机叶片每段的年能量输出最大为设计目标,使用遗传算法进行寻优搜索。利用开发的优化设计程序,针对特定风场设计截面的最佳弦长和扭角。仿真结果表明,采用遗传算法设计出的叶片在扭角值基本吻合的前提下,比原有叶片在不同的风速下,功率都有所增加,从而证明了算法的实用性和有效性。
【Abstract】 A model for optimization design of wind turbine blades is presented,based on momentum-leaf pigment theory.Firstly,aerodynamic performance of the wind turbine is calculated.Then,according to the aerodynamic forces of wind turbine blades,optimization search is carried out by using genetic algorithm with a goal of the annual energy output in every section of the wind turbine blades.The best chord length and torsion angle of specific section wind field is designed by using the developed program of the optimum design.Simulation results show that,with the optimization of genetic algorithm,output power of wind turbine blade can be obviously improved,which proves that the optimization model is practical and effective.
- 【文献出处】 机械设计与制造 ,Machinery Design & Manufacture , 编辑部邮箱 ,2013年02期
- 【分类号】TK83
- 【被引频次】20
- 【下载频次】422