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作 者:王清 张敏 李仁年[1] 赵慧廷 WANG Qing;ZHANG Min;LI Rennian;ZHAO Huiting(College of Energy and Power Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
机构地区:[1]兰州理工大学能源与动力工程学院,甘肃兰州730050
出 处:《甘肃科学学报》2023年第6期118-124,共7页Journal of Gansu Sciences
基 金:甘肃省科技计划(20JR5RA445)。
摘 要:为获得气动性能良好且可以量化的垂直轴风力机专用翼型,以运行攻角下最大升力系数和最大切向力系数为目标函数,利用代理模型结合遗传算法的方法对翼型进行优化设计,提出了一种具有全局收敛特性的优化算法。基于CST参数化方法,采用7阶Bernstein多项式完成风力机翼型几何外形的参数化拟合;建立Kriging代理模型大幅度缩短优化时间,并采用LHS和EI加点相结合的方式提高优化效率和模型拟合精度。对比分析优化翼型与垂直轴风力机翼型NACA0015,结果表明:在设计状态下,优化翼型升力系数分别提高了7.81%,4.42%,切向力系数分别提高了10.82%,6.00%,阻力系数满足约束条件。In order to obtain a special airfoil for vertical axis wind turbines with good aerodynamic performance and quantification,and to optimize the design of the airfoil with the method of combining the agent model with the genetic algorithm,an optimization algorithm with global convergence characteristics is proposed by using the agent model and the method of the genetic algorithm.Based on the CST,the parameterization of the geometry of the wind wing is completed by using the 7th-order Bernstein polynomial,the Kriging model is established to greatly shorten the optimization time,and the optimization efficiency and model fitting accuracy are improved by combining LHS and EI plus dots.Comparing and analyzing the optimized airfoil with the vertical axis wind turbine NACA0015,the results show that under the designed state,the lift coefficients of the optimized airfoil are increased by 7.81%and 4.42%,the tangential force coefficients are increased by 10.82%and 6.00%,respectively,and the drag coefficients satisfy the requirement of the constraint conditions.
关 键 词:翼型优化 垂直轴风力机 KRIGING模型 气动性能
分 类 号:TK81[动力工程及工程热物理—流体机械及工程]
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