飞行器气动隐身一体化设计方法研究

Aircraft multi-objective design of aerodynamic and stealthy performance

针对典型的翼身组合体飞行器构型,对飞行器气动隐身一体化设计的具体实现方法进行了探索。通过采用面元法计算飞行器气动性能,采用物理光学方法来计算其雷达散射截面积,实现了基于遗传算法的飞行器气动性能与隐身性能两个目标函数之间的折衷与优化。并在此基础上建立了上述算法的并行处理方法;提出了旨在提高优化计算效率的响应面方法,在响应面方法中,响应函数模型分别采用了神经网络模型和模糊逻辑模型来进行构造,对设计算例均得出了比较好的优化设计计算结果。

In this paper, the organic design method of aerodynamic and stealthy performance of the aircraft with typical wing-body configuration is investigated. In this design method, the aerodynamic performance of the aircraft is calculated by panel method, and the RCS （Radar Cross Section） of the aircraft is calculated by physical optics analysis. Then the tradeoff and multi-objective optimization of the aerodynamic and stealthy performance of the aircraft arc successfully carried out with Genetic Algorithm. Furthermore, the parallelized version of this design method is presented and validated, and the RSM （Response Surface Methodology） used for improving optimization effciency is put forward. In the RSM, both the NN （Neutral Network） model and the FLM （Fuzzy Logic Model） are introduced to construct the response surface, and the results show that the RSM is of certain accuracy and high computational efficiency.