基于 Kriging模型机翼平面外形气动优化设计

使用基于Kriging模型的优化设计方法，进行了非常规布局机翼的平面外形多目标优化设计。利用CFD技术进行机翼升力系数和阻力系数的气动计算，通过拉丁超立方试验设计生成样本点，建立了Kriging代理模型，结合多目标遗传算法对机翼平面外形进行多点多目标优化设计，最终得到了Pareto最优解集。根据设计需求，从Pa-ret0前沿选取一个非劣解作为优化结果。结果表明：陆ging模型与cFD计算误差很小，可信度高；在不问设计状态下，机翼气动性能都得到了提高，表明优化设计方法具有可行性和高效性。

Optimization Design of Wings Planform Configuration Based on Kriging Model

A Kriging-based optimization design system was used and applied to planform parameters optimization design of unconventional configuration. The Latin hypercube method was employed to construct the initial sam- ple points. Lift coefficient and drag coefficient of the wings was calculated by CFD. The combination of the Kriging surrogate model and multi-object genetic algorithms was used to optimize the wings planform configura- tion. The planform optimum result was chosen in the Pareto front according to design requirements. The results indicated that confidence level of the Kriging model was high and the errors between the Kriging model and CFD results were small. With different design conditions, the aerodynamic performance of wings was improved. The optimization design method was feasible and efficient highly.