为了实现风力机主轴轻量化设计,首先根据有限元结果,以质量为目标函数,应力、变形为约束条件建立数学模型。然后利用实验设计方法（DOE）获得初始样本点,并应用Kriging模型建立响应面,得到各设计变量对应力、变形和质量的影响程度和变化趋势,同时获得局部最优解。最后利用多目标遗传算法（MOGA）进行优化,通过1100次迭代,获得全局最优解。实现主轴减重10.71%,可为风力机其他零部件轻量化设计提供参考性优化设计方法。
Abstract
In order to realize the lightweight design for main shaft of wind turbine, Firstly, according to the finite element results, a mathematical model was established with mass as objective function, stress and deformation as constraint conditions. Then the method of Design of Experiment （DOE） was used to obtain the initial sample points, and the Kriging model was used to establish the response surface, obtain influence degree and variation trend of each design variable on stress, deformation and quality, at the same time, get the local optimal solution. Finally, the Multi Objective Genetic Algorithm （MOGA） was used for optimization, and the global optimal solution was obtained thought 1100 iterations. The weight of the main shaft was reduced by 10.71%, which provided a reference optimization design method for the lightweight design of other parts of the wind turbine.
关键词
风力机 /
主轴 /
DOE /
Kriging模型 /
MOGA算法
Key words
wind turbines /
main shaft /
DOE /
Kriging model /
MOGA algorithm
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基金
国家自然科学基金（51565055）; 新疆维吾尔自治区科技支疆项目（2017E0276）
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