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翼型气动优化设计的核心在于快速、准确的流动性能分析与快速、可靠的寻优算法。本文提出通过控制翼型表面预期流动分布,应用气动反问题方法,求解性能优化的翼型气动设计新方法。本文的翼型流动分析是基于位势流动与边界层积分方程的迭代解法。气动参数寻优采用了基于多变量搜索的加速POWELL算法,在确定的参数空间内,遍历搜索最佳性能点,可以保证最终优化解的全局性。气动反问题求解采用了壁面“喷吸气”模型。计算案例表明,本文方法的计算时间少,在流动不分离时具有与RANS同等计算精度,为快速开发低速风力机翼型提供了一个有效的设计方法。
The heart of airfoil aerodynamic design is fast and accurate flow performance analysis and fast and reliable optimization algorithms. In this paper, a new method of aerodynamic design of airfoil is proposed by controlling the distribution of the expected airfoil surface flow and applying the aerodynamic inverse problem method. The airfoil flow analysis in this paper is an iterative method based on the potential flow and the boundary layer integral equation. The optimization of aerodynamic parameters is based on the accelerated POWELL algorithm based on multivariate search. Traversing the best performance point in the determined parameter space can ensure the overall optimization of the solution. Pneumatic inverse problem solving using the wall “spray gas ” model. The calculation example shows that the method proposed in this paper has less calculation time and equal calculation accuracy with RANS when the flow is not separated, which provides an effective design method for rapid development of low speed wind turbine airfoils.