无铰变截面盒型梁桨叶气弹动力学多目标优化

基于有限元法建立了无铰旋翼变截面盒型梁桨叶的挥舞/摆振气弹稳定性优化分析模型，提出了多目标、多约束条件下的灵敏度分析方法，采用遗传优化算法（Non-dominated Sorting Genetic Algorithm - NSGA-II），实现了盒型梁桨叶气弹稳定性条件下多约束、多目标优化。最后完成了实例模型旋翼桨叶的优化与对比验证，结果表明，在气弹稳定性、自转惯量和振动固有频率等多约束条件下，实现自转惯量提高到原来的1.147倍，桨叶重量减少5.74%～8.6%，应力减少29.6%～30.1%的多目标优化，优化性能良好。

Multiple objectives dynamics optimization of hingeless rotor

The analysis model of tapered box-beam blade with the stability of flapping and lagging is built based on the finite element method (FEM). The sensitivity analysis method is provided under the condition of multiple constraints and objectives. The optimization is realized by using the Non-dominated Sorting Genetic Algorithm - NSGA-II. Finally, compared the optimization result with the designed model, the result show that the optimum solution results in a 1.147 times increasing of the autorotational inertia, a 5.74%~8.6% reduction of the total rotor blade mass and a reduction in the peak-to-peak blade stress of 29.6%~30.1%, under the constrainted conditions of blade rotating frequencies , autorotational inertia ,aeroelastic stability and so on.