CAJ | 학술논문

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-reto前沿选取一个非劣解作为优化结果。结果表明：Kriging模型与CFD计算误差很小，可信度高；在不同设计状态下，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。
사용기우Kriging모형적우화설계방법，진행료비상규포국궤익적평면외형다목표우화설계。이용CFD기술진행궤익승력계수화조력계수적기동계산，통과랍정초립방시험설계생성양본점，건립료Kriging대리모형，결합다목표유전산법대궤익평면외형진행다점다목표우화설계，최종득도료Pareto최우해집。근거설계수구，종Pa-reto전연선취일개비렬해작위우화결과。결과표명：Kriging모형여CFD계산오차흔소，가신도고；재불동설계상태하，궤익기동성능도득도료제고，표명우화설계방법구유가행성화고효성。
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.