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机构地区:[1]南京航空航天大学航空宇航学院直升机旋翼动力学重点实验室,南京210016
出 处:《航空动力学报》2011年第7期1608-1614,共7页Journal of Aerospace Power
摘 要:基于自由尾迹方法建立了直升机桨叶空气动力学分析模型,应用人工神经网络方法建立代理模型,采用改进的多目标遗传算法构建了优化框架,对直升机的悬停和大速度前飞状态进行优化.以悬停效率、旋翼等效升阻比及桨叶叶素的最大阻力系数为约束,对两个飞行状态的需用功率进行优化,得到了Pareto最优解集.并以UH-60A直升机的桨叶为算例,对其外形进行优化设计,优化结果表明,提出的桨叶气动外形多目标优化框架是有效可行的.An aerodynamic model of helicopter rotor was set up based upon free-wake theory, and a surrogate model was created with artificial neural networks. Based on the aerodynamic model and surrogate model, an optimization framework with improved multi-objective genetic algorithm was used to optimize blade aerodynamic shape in hover and large speed level flight. Rotor shaft powers were minimized in these two flight conditions with constraints of figure element, and Pareto of merit, effective front was generate example in this paper. The result indi of aerodynamic shape is feasible and ef lift-drag-ratio an d. The blade of cates that the mu ficient d maximum drag coefficient UH-60A helicopter was tak lti-objective optimization fra of blade en as an mework
关 键 词:直升机 桨叶设计 气动外形 多目标优化 代理模型 遗传算法
分 类 号:V275.1[航空宇航科学与技术—飞行器设计] V224
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