基于遗传算法的起落架缓冲器变截面油针优化设计研究

Research on the Optimization Design of Variable Cross-section Oil Needle of Landing Gear Damper Based on Genetic Algorithm

提高飞机起落架着陆性能,需要探索设计缓冲器油针形状的有效方法。利用平面多体动力学建立起落架数学模型,并利用NSGA-Ⅱ遗传算法,以油针轴向不同位置的截面直径为设计变量,以起落架过载系数和缓冲效率为目标函数,进行起落架着陆性能双目标优化设计。结果表明:本文的方法有效提高了缓冲效率并降低了过载系数,改善了轮胎载荷环境同时提升了起落架着陆性能;该方法同样适用于特定缓冲器高性能油针的设计。

To increase landing performance of aircraft landing gear,it is needed to develop effective method to design the shape of metering pin.The numerical model of the landing gear based on planar multibody dynamics are derived.And two-object optimization design of landing gear performance is performed using NSGA-Ⅱ Genetic Algorithm,whose design variables are cross-section diameters at different axial positions of metering pin and whose objective functions are shock-absorbing efficiency and overload factor.Results show that this method can effectively improve shock-absorbing efficiency and reduce overload factor,improve load environment of tires and landing performance.Approach mentioned above is very effective to design a best metering pin of a certain absorber.