摘要
高空长航时飞行器应具有升阻比高和俯仰力矩小的气动特性。基于遗传算法的随机性和隐含并行性,结合适用于多目标处理的Pareto方法,在低雷诺数和跨声速条件下,展开了高空长航时飞行器机翼外形的多目标、多设计点的数值优化设计。仿真计算结果表明,所设计的机翼具有较高的升阻比和较低的俯仰力矩,同时在设计马赫数附近升阻比的变化比较平稳,具有良好的综合气动性能。
High altitude long endurance aircraft are characterized by high lift-to-drag ratio and low pitching moment. Based on stochastic and implicit parallel properties of genetic algorithm,combined with Pareto method which is suitable for multiple-objective optimization design,the multiple-objective and multiple-point aerodynamic optimal design of high altitude long endurance aircraft wings under low Reynolds number and transonic speed is carried out. The numerical results show that the lift-to-drag ratio is increased and the moment coefficient is decreased,and the lift-to-drag ratio is steady in a wide Mach number range. The optimal wings have better integral aerodynamic performance.
出处
《飞行力学》
CSCD
北大核心
2016年第5期26-29,共4页
Flight Dynamics
基金
国家自然科学基金资助(51266012)
江西省人力资源和社会保障厅留学归国项目(DB201406147)
关键词
高空长航时
机翼
优化设计
遗传算法
high altitude long endurance
wing
optimal design
genetic algorithm
