Comparing Different Off-the-Shelf Optimizers' Performance in Conceptual Aircraft Design
Comparing Different Off-the-Shelf Optimizers' Performance in Conceptual Aircraft Design
复制标题
比较不同现成优化器在概念飞机设计中的性能
DOI：
10.2514/6.2016-3362
复制
发表时间：
2016
影响因子：
1.7
通讯作者：
J. Alonso
中科院分区：
文献类型：
--
作者：
Andrew Wendorff;E. Botero;J. Alonso
本文涵盖了应用于概念航空航天器设计工具 SUAVE 的多种优化算法的比较。使用类似于 Embraer E-190 的飞机作为初始条件，我们比较了创建的最佳飞机和不同优化器的收敛标准。我们的比较不仅是为了找到最适合特定问题的优化器，也是为了更好地理解航空航天器设计空间的凸性、多模态和不连续性。我们研究了四种不同的两个变量优化，探索飞机几何-几何、几何-任务和任务-任务变量优化。在我们的研究中，表面没有很多局部最小值，因此基于梯度的优化器在比基于群体的方法少大约一个数量级的函数评估中找到了相同的最佳点。整架飞机也进行了优化。当仅改变几何形状时，基于梯度的优化器发现设计任务燃油消耗减少了不到百分之三十，并且通过暴露巡航段任务参数发现额外百分之一。
This paper covers the comparison of multiple optimization algorithms applied to SUAVE, a conceptual aerospace vehicle design tool. Using an aircraft similar to an Embraer E-190 as the initial conditions, we compare the optimum aircraft created and the convergence criteria of different optimizers. Our comparison is not only to find what optimizer works best for a specific problem, but to better understand the convexity, multi-modality, and discontinuities of the aerospace vehicle design space. We look at four different two variable optimization exploring aircraft geometry-geometry, geometry-mission, and mission-mission variable optimizations. In our studies, the surfaces did not have many local minimas so gradient-based optimizer found the same optimum point in approximately an order of magnitude less function evaluations than a population-based method. The full aircraft was also optimized. A little less than thirty percent reduction in design mission fuel burn was found by a gradient-based optimizer when changing only the geometry and an additional one percent was found by exposing the cruise segment mission parameters.