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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。
Based on the research foundation of Particle Swarm Optimization (PSO), an airfoil optimization design method based on PSO is proposed. Airfoils, which are widely used in high speed wind turbines, are not suitable in some aspects. In order to solve this problem, an automated optimization design method based on multi-software co-simulation and targeting the lift-drag ratio of the airfoil is established. By using this method, the NACA4412 airfoil commonly used in wind turbines is optimized. The design results show that the aerodynamic performance of the airfoil optimized by this method has been greatly improved.