高高空长航时无人机翼型优化设计研究  

Airfoil Design of High Altitude Long Endurance Unmanned Air Vehicle

作　　者：詹浩[1] 司江涛[2] 白俊强[1] 

机构地区：[1]西北工业大学航空学院,陕西西安710072 [2]中航一集团第一飞机设计研究院,陕西西安710089

出　　处：《航空计算技术》2006年第3期82-84,共3页Aeronautical Computing Technique

基　　金：航空科学基金(04A53004)资助

摘　　要：针对高高空长航时无人机的特点和使用要求,开展了高高空长航时无人机翼型的优化设计研究。为了提高采用遗传算法的气动优化设计的效率,将分布式计算与遗传算法相结合,形成了基于遗传算法和分布式计算的气动优化设计方法,并将该方法与基于反设计概念的工程方法相结合进行了高高空长航时无人机翼型的气动优化设计。设计实践表明,该方法是可行的,设计出的翼型是能够满足工程需要的。For the design of High Altitude long Endurance （HALE） Unmanned Air Vehicle （UAV） , one of the most important problems is the design of airfoil, which is also a key point of design aerodynamics. In this paper, an airfoil which is designed to be used under high Mach number and low Reynolds number, just as the fly condition of HALE, has been optimized using a CFD optimization method, which is based on the genetic algorithm and distributed computing in LAN （ Local - Area Network）, combined with inverse design method there for enhances the efficiency and the feasibility of the design optimizations. The design results show that the aerodynamic characteristic of the airfoil is suitable for HALE UAV.

关 键 词：遗传算法 翼型 无人机 优化设计 

分 类 号：V211.3[航空宇航科学与技术—航空宇航推进理论与工程]