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通过与传统优化方法的优缺点对比,提出针对飞行器环境参数存在不确定性影响时的气动稳健优化设计模型,并应用多目标进化算法和代理模型技术对稳健模型进行优化设计研究。提供了翼型稳健性优化实例,通过选择合适的翼型参数化方法和CFD求解程序以及不确定性分析方法,得到了稳健设计结果的Pareto前缘图。从其中选择的设计结果可以看出,稳健设计结果表现出更稳定的特性,证明了稳健设计的优势所在。
By comparing with the advantages and disadvantages of the traditional optimization methods, the aerodynamic optimization design model is put forward when the uncertainties of the environmental parameters of the aircraft exist. The optimization design of the robust model is studied by using the multi-objective evolutionary algorithm and the agent model. The optimization example of airfoil robustness is provided. The Pareto front diagram of the robust design results is obtained by choosing the appropriate airfoil parameterization method, CFD solving program and uncertainty analysis method. From the choice of design results, one can see that robust design results show more stable characteristics, demonstrating the benefits of robust design.