大展弦比前掠翼气动隐身多目标优化

前掠翼布局优越的气动性能为无人机气动布局设计提供了一条新的方向。采用CST方法对翼型几何外形进行参数化描述,实现前掠翼气动和隐身多学科优化设计模型的参数化描述。建立了基于N-S方程的计算流体力学方法的前掠翼气动分析模型和基于矩量法的计算电磁学方法的前掠翼隐身分析模型。提出了基于Kriging模型的前掠翼气动隐身多目标优化方法,采用拉丁超方试验设计方法获取样本点,建立前掠翼气动和隐身的Kriging代理模型。将Pareto多目标遗传算法与Kriging代理模型结合进行大展弦比前掠翼的气动隐身多目标优化设计。研究结果表明,所建立的分析模型是合理的,所提出的多目标优化设计方法是可行的,能够有效提高大展弦比前掠翼性能与优化效率。

Multi-objective Aerodynamic and Stealthy Performance Optimization for Large-aspect-ratio Forward-swept Wings

Forward-Swept wing(FSW) configuration provides a new direction for the aerodynamic configuration design of UAV because its excellent aerodynamic characteristics.The Class-Shape function Transformation(CST) method is used to describe the parameterized airfoil geometry.The parameterized models for aerodynamic and stealthy performance of FSW are constructed.The aerodynamic analysis model of FSW is constructed by computational fluid dynamics method based on N-S equations.The stealthy performance analysis model of FSW is constructed by computational electromagnetics method based Method of Moments(MoM).The multi-objective aerodynamic and stealthy performance optimization method for FSW using Kriging model is presented.The Latin hypercube method is employed to get a set of sample points.The aerodynamic and stealthy performance Kriging models are built.The multi-objective aerodynamic and stealthy performance optimization of FSW is optimized by combining Pareto genetic algorithm with Kriging model.The results of the investigation show that the constructed analysis models are reasonable and the presented multi-objective optimization design method is feasible,which can improve the performance of large-aspect-ratio FSW and the efficiency of optimization effectively.