摘要
在某一速度下,轨道车辆转向架的蛇行运动频率将和车体相关振动的固有频率接近而发生耦合共振,影响车辆的横向平稳性。为降低这种耦合共振的程度,选取变换后的欧几里得贴近度作为车体模态相似性评价指标,选取车体蛇行运动稳定性作为模型的控制条件,采用遗传算法对二系悬挂进行最优化设计。结果显示,在其他参数不变的情况下,采用遗传算法可以寻得耦合度最小的二系悬挂参数值。耦合度越小,模态频率曲线线性程度越强,模态间的频率俘获现象越不明显,模态间的相互影响越小;耦合度越小,模态的阻尼比变化越平缓,车体摇头或车体上下心滚摆振动模态的阻尼比越大。
The natural frequency of railway vehicle＇s car body and hunting frequency of bogie will be close to each other at a certain speed, and this can bring the coupling resonance between car body and bogie, which have a bad effect on stability of vehicle. In order to reduce the degree of resonance, a transformed Euclid nearness was selected as the index of modal similarity, and the hunting stability of vehicle was chosen as the control conditions of the model. Finally, genetic algorithm was used to optimize the second suspension parameter. The results showed that, the optimal second suspension parameter could be found by genetic algorithm when the other parameters were constant, and the results were satisfactory. The smaller the coupling degree was, the stronger the linear of the modal frequency curve was, and the more inconspicuous the frequency trapping among modes was,there was a faint influence between the modes in this case;The smaller the coupling degree was, the more gently the damping ratio changed, and the bigger the damping ratio of body-yawing or upper-sway was.
作者
宗聪聪
陈迪来
周云飞
沈钢
ZONG Congcong;CHEN Dilai;ZHOU Yunfei;SHEN Gang(River Affairs Bureau（Watre Resources Department）of Jilin Province,Changchun,Jilin 130022,China;Institute of Rail Transit,Tongji University,Shanghai 201804,China;Development and Reform Commission of Jilin Province,Changchun,Jilin 130051,China)
出处
《机车电传动》
北大核心
2018年第4期33-36,共4页
Electric Drive for Locomotives
关键词
蛇行运动
参数优化
欧几里得贴近度
遗传算法
模态
bunting movement
parameter optimization
Euclid nearness
genetic algorithm
modality
