摘要
高速列车通过曲线时,车辆动力学性能恶化。为改善高速列车通过不同曲线的动力学性能,研究了抗蛇形减振器半主动控制对高速列车曲线通过时动力学性能的影响。根据列车运行具有重复性等特点,结合大数据,设计了PD型迭代学习控制算法,并进行控制算法和多体动力学软件的半主动控制仿真,将结果与无控制的仿真结果进行对比。结果显示:经过10次迭代控制后,列车过曲线时的平稳性指标、脱轨系数、轮重减载率、轮轨横向力指标都有所改善。
When the high-speed train passes the curve, its dynamics performance deteriorates. In order to improve the dynamic performance of high-speed train when passing through different curves, the influence of semi-active control with yaw damper on its dynamic performance was studied. According to the repeatability of train running and the big data, the PD iterative learning control algorithm was designed, and the semi-active control simulation which combined control algorithm with dynamic software was carried out to compare with the results of the passive working conditions. The results showed that after 10 iterations, the stationarity index, derailment coefficient, wheel load reduction rate and wheel-rail lateral force were improved.
作者
艾永军
陈春俊
李新
周建容
AI Yongjun;CHEN Chunjun;LI Xin;ZHOU Jianrong(School of Mechanical Engineering,Southwest Jiaotong University,Chengdu,Sichuan 610031,China)
出处
《机车电传动》
北大核心
2020年第2期109-112,共4页
Electric Drive for Locomotives
基金
国家自然科学基金项目(51475387)。
关键词
高速列车
半主动控制
过曲线
迭代学习控制
平稳性
安全性
仿真
high-speed train
semi-active control
curve pass
iterative learning control
stationarity
safety
simulation
