| 低雷诺数下小展弦比机翼的气动力优化设计 |
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| 引用本文： | 刘洁,翁培奋,丁珏.低雷诺数下小展弦比机翼的气动力优化设计[J].空气动力学学报,2009,27(4). |
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| 作者姓名： | 刘洁 翁培奋 丁珏 |
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| 作者单位： | 上海大学应用数学与力学研究所,上海,200072 |
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| 摘 要： | 以固定翼式微型飞行器为研究背景,针对小展弦比机翼,将遗传算法与Navier-Stokes方程数值解法相结合,提出了一种以实数编码为基础的数值优化模型.流场数值模拟采用人工压缩方法,遗传算法采用锦标赛选择、自适应交叉和变异操作算子,对微型飞行器机翼选取五个设计点分别进行了升阻比优化设计.优化结果表明,本文的优化模型具有较高的搜索效率和显著的优化效果,五个设计点机翼的升阻比均提高30%以上.优化后的翼面接近椭圆形状,翼型前缘钝厚,尾缘向上拱起,这种形状能大大增加升力,降低诱导阻力,从而显著提高机翼的气动性能.
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| 关 键 词： | 微型飞行器 遗传算法 低雷诺数 小展弦比 人工压缩方法 |
Aerodynamic optimization for low aspect ratio wing at low Reynolds number |
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| LIU Jie,WENG Pei-fen,DING Yu.Aerodynamic optimization for low aspect ratio wing at low Reynolds number[J].Acta Aerodynamica Sinica,2009,27(4). |
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| Authors: | LIU Jie WENG Pei-fen DING Yu |
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| Institution: | Shanghai University;Shanghai Institute of Applied Mathematics and Mechanics;Shanghai 200072;China |
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| Abstract: | Fixed-wing micro air vehicle(MAV) is numerically investigated and optimized with genetic algorithm(GA).Aerodynamic performance evaluation is provided by three-dimensional incompressible Navier-Stokes equations that are solved numerically with artificial compressibility method.Present GA is real-coded and is developed with elite production,tournament selection,adaptive crossover and mutation.Five design points,angles of attack ranging from 2 deg.to 10 deg.with interval of 2.0,are considered.As a result,highe... |
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| Keywords: | micro air vehicle genetic algorithm low aspect ratio low Reynolds number artificial compressibility method |
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