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.
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
