针对风力机翼型在进行高精度设计时变量维度高的问题,提出改进的集成泛函理论与型函数扰动相结合的混合参数化方法。通过串行设计,在不提高设计维度的前提下,实现翼型的全局优化与局部再优化。基于该方法并应用自适应设计空间的粒子群算法,获得最大相对厚度为15%的混合优化翼型。与风力机专用翼型Risø-A1-15以及集成优化翼型进行气动特性比较分析,新翼型在工作攻角范围内的升力系数平均提升了38.62%与6.48%,最大升阻比提升了6.02%与1.75%,气动特性明显改善。从而验证了该方法的有效性,为翼型的精细化设计提供了新思路。
Abstract
Aiming at the high dimensionality of variables in high-precision design of wind turbine airfoil, a hybrid parameterization method combining improved functional integration theory and shape function perturbation is proposed. The global optimization and local re-optimization of airfoils are achieved by serial design without increasing the design dimensions, and a hybrid optimized airfoil with the maximum relative thickness of 15% is obtained by applying the particle swarm optimization （PSO） algorithm of adaptive design space. Compared with the wind turbine airfoil Risø-A1-15 and the integrated optimized airfoil, the new airfoil has significantly enhanced aerodynamic characteristics with an average lift coefficient improvement of 38.62% and 6.48% in the main operating angle of attack range and the maximum lift-drag ratio improvement of 6.02% and 1.75%. Therefore, the feasibility of the method is verified and a new perspective is provided for the refinement of the airfoil design.
关键词
风力机 /
翼型 /
泛函集成 /
型函数扰动 /
粒子群算法
Key words
wind turbines /
airfoil /
functional integration /
shape function perturbation /
particle swarm optimization
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基金
重庆市基础与前沿研究计划（cstc2016jcyjA0448）; 重庆市教委科学技术研究项目（KJ1600628）; 制造装备机构设计与控制重庆市重点实验室开放基金（1556031）
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