基于混合参数化与粒子群算法的风力机翼型气动优化设计  

AERDDYNAMIC OPTIMIZATION DESIGN OF WIND TURBINE AIRFOIL BASED ON HYBRID PARAMETERIZATION AND PARTICLE SWARM ALGORITHM

作　　者：鞠浩 王旭东[1,2] 陆佳红 Ju Hao;Wang Xudong;Lu Jiahong(Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control,Chongqing Technology and Business University,Chongqing 400067,China;National Research Base of Intelligent Manufacturing Service,Chongqing Technology and Business University,Chongqing 400067,China)

机构地区：[1]重庆工商大学制造装备机构设计与控制重庆市重点实验室,重庆400067 [2]重庆工商大学国家智能制造服务国际科技合作基地,重庆400067

出　　处：《太阳能学报》2023年第5期473-479,共7页Acta Energiae Solaris Sinica

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)。

摘　　要：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Ris?-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。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 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程]