摘要
微型飞行器具有飞行雷诺数低、易受外界环境干扰等特点,并存在多目标优化问题,因此其气动布局优化设计难度较大。针对微型飞行器的特点及优化设计要求,采用N-S方程与遗传算法相结合的方法对微型飞行器的多目标优化设计,基于ISIGHT软件来实现该方法的具体流程,克服了计算量大、无法实现自主迭代的缺点。并对微型飞行器的展弦比、尾翼安装角、尾翼的高度和根弦长进行优化,优化目标为飞行器的静稳定性和升阻特性,优化后的构型具有良好的气动性能,结果表明该方法明显提高了计算的精度和优化设计的水平,在工程上有一定的应用价值。
Because MAV has some characteristics such as low Reynolds,easy to be interfered by environment,it is very difficult for the multi-objects optimization design.The paper integrates the N-S equation with genetic algorithm to optimize the aerodynamic configuration of MAV which can conquer the shortcoming of old methods;the purpose is to improve the static stability and aerodynamic characteristics.The result shows that the method can improve the calculation precision and level of optimization design which has some application value in project.
出处
《指挥控制与仿真》
2012年第1期86-91,共6页
Command Control & Simulation
关键词
ISIGHT
微型飞行器
气动布局优化
N-S方程
遗传算法
静稳定性
ISIGHT
micro air vehicle
aerodynamic configuration optimization design
N-S equation
genetic algorithm
static stability
