A multidisciplinary design optimization for range maximization process of a canard unmanned aircraft configuration is described. The mission definition as well as stability and maneuverability requirements drive the aero-structural surrogate-based optimization of the configuration including fuselage, wing, canard and vertical surfaces. The stability requirements are included in the optimization as geometrical constraints in the design variables leaving only the structural integrity as a constraint in the optimization. Kriging based surrogate models are generated for both objective function and constraints. A combination of several acquisition functions with engineering knowledge is used for surrogate models enrichment and avoid excessive exploration of the design space. Performance metrics parameters plots show the evolution of the configurations during the iterative optimization process and said evolution is discussed. The optimized configuration analyses estimate an L/D significantly higher and a considerable reduction in structural mass factor when compared to the initial best configuration, with the drawback of increasing the stall speed.

描述了鸭式无人机配置的航程最大化过程的多学科设计优化。任务定义以及稳定性和机动性要求推动了基于航空结构代理的配置优化，包括机身、机翼、鸭翼和垂直表面。稳定性要求作为设计变量中的几何约束包含在优化中，仅将结构完整性作为优化中的约束。为目标函数和约束生成基于克里金法的代理模型。几种采集功能与工程知识的组合用于丰富代理模型并避免对设计空间的过度探索。性能指标参数图显示了迭代优化过程中配置的演变，并讨论了所述演变。优化配置分析估计与初始最佳配置相比，L / D显着更高且结构质量系数显着降低，缺点是增加了失速速度。