联翼布局传感器飞机多目标优化设计

针对联翼布局传感器飞机的任务需求特点，建立了专用于该类无人机的能够综合考虑气动、结构和雷达性能的多目标优化设计模型。利用改进的类函数/形函数参数化方法完成整机外形进行参数化，利用风洞试验进行了气动分析模型的验证，基于工程梁理论搭建了联翼布局结构重量估算模型。在雷达距离方程的基础上，建立了机翼内部雷达天线性能估算的数学模型。利用该模型，能够在优化过程中考虑到内置机载预警天线安装位置和性能评估对翼型选择、结构重量和气动特性的影响，最终得到全局最优设计。对某方案的优化结果表明，相较于优化前，多目标优化结果能够明显提升整机升阻比和前后视雷达探测范围，同时减轻结构重量。优化结果和敏感性分析表明了该多目标优化模型的可行性和必要性。

Multi-objective optimization design for joined-wing SensorCraft

A multi-objective optimization design model comprehensively considering aerodynamics, structure, and radar performance is proposed to meet the special mission demand of the joined-wing SensorCraft. The improved class function/shape function transformation method is used to complete the shape parameterization, the wind tunnel test performed to verify the aerodynamic analysis model, and the structural weight estimation model of the joined-wing configuration built based on the engineering beam theory. Moreover, based on the radar distance equation, a mathematical model for performance estimation of the antenna inside the wing is established. Using this model, the influence of the installation position and performance evaluation of the embedded antenna on the airfoil selection, structural weight and aerodynamic characteristics can be considered during the optimization process, and the global optimal design is finally obtained. The optimization results of a case show that, compared with the original design, the multi-objective optimization results can significantly improve the lift-to-drag ratio and detection range, meanwhile reducing the structural weight. The optimization results and sensitivity analysis verify the feasibility and necessity of this multi-objective optimization model.