模拟退火遗传算法在风力提水机翼型优化设计中的研究

RESEARCH ON SIMULATED ANNEALING GENETIC ALGORITHM IN OPTIMIZATION DESIGN OF WATER-PIMPING WIND-MILL

为提高风力提水机翼型气动性能,根据已有的自适应模拟退火遗传算法思想,设计一种自适应模拟退火遗传算法(GASA),将其运用到风力提水及翼型优化设计中。该种自适应模拟退火遗传算法(GASA),能弥补使用传统遗传算法(GA)进行优化设计时出现的局部搜索精度不高的缺点,提高优化算法效率。该文给出了对风力提水机设计使用的小厚度翼型NACA4412优化设计的实例,使用自适应模拟退火遗传算法和遗传算法优化后的翼型,其升阻比相比标准翼型分别提高了4.02%、3.89%,验证了设计的自适应模拟退火算法在风力提水机翼型优化设计中的可行性。对优化后翼型进行风洞实验,实验结果表明:翼型表面压力及速度变化趋势与模拟结果变化趋势基本一致,验证了优化翼型在实际环境中的气动性能。

In order to improve the aerodynamic performance of airfoil with wind driven water pump,an adaptive simulated annealing genetic algorithm(GASA)is designed based on the idea of adaptive simulated annealing genetic algorithm.which is applied to the optimization design of wind driven water pump and the airfoil.Self-adaptive genetic algorithm of simulated annealing(GASA)can make up for the shortcoming of low precision of local search when using traditional genetic algorithm(GA)for optimization design,and improve the efficiency of optimization algorithm.In this paper,the living example of optimization design of small-thickness airfoil profile NACA4412 used in wind driven water pump was provided.The lift-drag ratio of the airfoil profile optimized by the self-adaptive simulated annealing genetic algorithm and genetic algorithm is 4.02%and 3.89%higher than that of the standard airfoil respectively,which verified the effectiveness of the designed self-adaptive simulated annealing algorithm in the optimization design of wind driven water pump airfoil profile.The wind tunnel experiment is carried out on the optimized airfoil profile,and the experimental results show that the variation trend of surface pressure and velocity of the airfoil profile is basically consistent with that of the simulation results,which verifies the aerodynamic performance of the optimized airfoil profile in the actual environment.