可重复使用运载器机翼外形优化

研究了有翼可重复使用运载器机翼平面外形参数优化设计问题。在高超声速配平和低速水平着陆性能等约束条件下，利用混合遗传算法和粒子群优化算法来选择最优机翼外形参数，使机翼重量最小化。在已知的不同质心位置下求得相应的最小重量机翼外形。亚声速气动力采用面源法计算，高超声速气动力采用修正的牛顿流理论计算。为了降低计算耗费，使用均匀设计和逐步回归方法建立了低速气动力回归模型。整个优化过程在Matlab集成环境下完成。

Wing shape optimization of the reusable launch vehicle

Wing shape optimization of the Reusable Launch Vehicle(RLV) was investigated.The wing was sized with the aim to minimize its weight.The optimum parameters were produced by Hybrid Genetic Algorithm and Particle Swarm Optimiztion Algorithm to satisfy the aerodynamic requirements such as hypersonic trim,landing performance and so on.Wing shapes with minimum weight corresponding to variant center-of-gravity positions were obtained.Panel Method was used for subsonic aerodynamic analysis,and the Modified Newtonian Impact Theory was used for hypersonic aerodynamic analysis.To reduce the computational price,Uniform Design and Stepwise Regression were used to obtain the subsonic aerodynamic model of the vehicle.The whole process of the optimization was performed in the MATLAB environment.