摘要
弓形起落架的轴线形状和横截面直接影响无人飞机着陆时起落架的缓冲性能。为提高弓形起落架的缓冲性能,基于能量法构建了弓形起落架的参数化模型,以某一无人机的起落架为对象采用遗传算法进行优化设计,用MD.Nastran对优化设计的弓形起落架进行动力学仿真。结果证明优化后的弓形起落架吸收冲击能量的能力得到了提高,从而可以降低无人机降落时的过载,同时减小了起落架的质量。
The shape and cross section of UAV arched landing gears influence on the cushion property when UAV landing. In order to improve the cushion property of arched landing gears, an optimization model for the shape of arch is built by energy method in this paper. And an UAV arched landing gears has been designed by genetic algorithms base on the optimization model. At last, MD. Nastran has been used to simulate the landing gears. The result prove that the cushion property of arch landing gears which has been optimized has been improved,then the UAV＇s load factor can be reduced when UAV landing. The mass of arched landing gears is lighter at the same time.
出处
《航空计算技术》
2013年第2期76-79,共4页
Aeronautical Computing Technique
基金
陕西省自然科学基金项目资助(2013JM1015)
关键词
无人机
弓形起落架
能量法
优化设计
遗传算法
动力学仿真
UAV
arched landing gears
energy method
optimization design
genetic algorithms
dynamics simulation
