摘要
基于粒子群算法的研究基础,提出了基于粒子群算法的多模块协同的翼型优化设计方法。在高速风力机中被广泛应用的航空翼型在某些方面存在一定的不适应性。针对此问题,建立了基于多软件协同仿真且以翼型的升阻比为目标的自动化优化设计方法,并运用该方法对风力机中常用的NACA4412翼型进行优化设计。设计结果表明,用该方法优化后的翼型在气动性能方面有较大提高。
On the basis of the research on Particle Swarm Optimization（ PS0）, An airfoil optimization design method base on PSO with multi-objective is proposed in this paper. The avaiation airfoils, which was widely used in high speed wind turbine has some certain adaptability. According to this problem, Collaborative simulation is established based on software and aiming at airfoil lift-to-drag ratio of the automatic optimization design method,and using the method redesign a airfoil ,which is gen- erally used in wind turbine airfoil named NACA4412. The results show that aerodynamic performance is improved greatly un- der this method with PSO.
出处
《机械研究与应用》
2013年第4期49-51,55,共4页
Mechanical Research & Application
关键词
粒子群算法
翼型优化设计
协同仿真
气动性能
Particle Swarm Optimization （PSO）
airfoil optimization design
multi-objective simulation
aerodynamic per- formance
