In this paper, an ‘in-house＇ genetic algorithm is described and applied to an optimization problem for improving the aerodynamic performances of an aircraft wing tip through upper surface morphing. The algorithm＇s ...In this paper, an ‘in-house＇ genetic algorithm is described and applied to an optimization problem for improving the aerodynamic performances of an aircraft wing tip through upper surface morphing. The algorithm＇s performances were studied from the convergence point of view, in accordance with design conditions. The algorithm was compared to two other optimization methods,namely the artificial bee colony and a gradient method, for two optimization objectives, and the results of the optimizations with each of the three methods were plotted on response surfaces obtained with the Monte Carlo method, to show that they were situated in the global optimum region. The optimization results for 16 wind tunnel test cases and 2 objective functions were presented. The 16 cases used for the optimizations were included in the experimental test plan for the morphing wing-tip demonstrator, and the results obtained using the displacements given by the optimizations were evaluated.展开更多
为了实现智能优化垂直轴风机翼型的气动特性,提高垂直轴风机的功率系数,通过模拟退火算法作为寻优方法,用气动性能计算工具XFOIL与MATLAB程序下的失速修正模型相结合用来计算翼型优化前后的气动特性;通过CST(class/shape function trans...为了实现智能优化垂直轴风机翼型的气动特性,提高垂直轴风机的功率系数,通过模拟退火算法作为寻优方法,用气动性能计算工具XFOIL与MATLAB程序下的失速修正模型相结合用来计算翼型优化前后的气动特性;通过CST(class/shape function transformation)翼型建模法构建控制翼型曲线的翼型数学模型,选取翼型的控制参数为设计变量,翼型最大相对厚度以及最大相对厚度所处位置为约束条件,以翼型的最大升阻比为目标函数,建立翼型智能优化算法,并完成了对NACA0018翼型的优化设计。结果表明:优化后翼型的气动性能得到提高;最大升力系数提高了2%,升阻比的峰值提高了5.22%,最大切向力系数提高了6.77%。可见优化后翼型的失速性能得到了有效改善。展开更多
基金the Consortium in Research and Aerospace in Canada (CRIAQ)the Natural Sciences and Engineering Research Council of Canada (NSERC) for their financial support
文摘In this paper, an ‘in-house＇ genetic algorithm is described and applied to an optimization problem for improving the aerodynamic performances of an aircraft wing tip through upper surface morphing. The algorithm＇s performances were studied from the convergence point of view, in accordance with design conditions. The algorithm was compared to two other optimization methods,namely the artificial bee colony and a gradient method, for two optimization objectives, and the results of the optimizations with each of the three methods were plotted on response surfaces obtained with the Monte Carlo method, to show that they were situated in the global optimum region. The optimization results for 16 wind tunnel test cases and 2 objective functions were presented. The 16 cases used for the optimizations were included in the experimental test plan for the morphing wing-tip demonstrator, and the results obtained using the displacements given by the optimizations were evaluated.
文摘为了实现智能优化垂直轴风机翼型的气动特性,提高垂直轴风机的功率系数,通过模拟退火算法作为寻优方法,用气动性能计算工具XFOIL与MATLAB程序下的失速修正模型相结合用来计算翼型优化前后的气动特性;通过CST(class/shape function transformation)翼型建模法构建控制翼型曲线的翼型数学模型,选取翼型的控制参数为设计变量,翼型最大相对厚度以及最大相对厚度所处位置为约束条件,以翼型的最大升阻比为目标函数,建立翼型智能优化算法,并完成了对NACA0018翼型的优化设计。结果表明:优化后翼型的气动性能得到提高;最大升力系数提高了2%,升阻比的峰值提高了5.22%,最大切向力系数提高了6.77%。可见优化后翼型的失速性能得到了有效改善。
