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本文以固定机翼式微型飞行器的翼型气动力优化设计为研究背景,在105量级的低雷诺数范围内,把遗传算法与Navier-Stokes方程数值解法相结合,建立了一种以实数编码为基础的自适应算法模型。在基准翼型的基础上,结合锦标赛选择、部分交叉以及自适应变异算子,对翼型进行了升阻比气动力优化设计,并设计了一种高效的复制算子来提高算法的稳定性和计算效率。优化后的翼型升阻比提高显著,表明该算法对低雷诺数翼型的气动外形设计合理有效。
In this paper, based on the aerodynamic optimization design of airfoils for fixed-wing micro-aircraft, this paper combines the genetic algorithm with the numerical solution of Navier-Stokes equations in the low reynolds number range of 105 to establish a real- Based adaptive algorithm model. Based on the benchmark airfoil, combining the tournament selection, partial crossover and adaptive mutation operator, the aerodynamic optimization design of the airfoil is performed, and an efficient replica operator is designed to improve the stability of the algorithm And calculate efficiency. The optimized lift-drag ratio of the airfoil increases significantly, which shows that the algorithm is reasonable and effective for the aerodynamic design of low Reynolds-number airfoils.