[1]艾永军,陈春俊,李 新,等.高速列车曲线通过迭代学习半主动控制研究[J].机车电传动,2020,(02):109-112.[doi:10.13890/j.issn.1000-128x.2020.02.115]
 AI Yongjun,CHEN Chunjun,LI Xin,et al.Research on Iterative Learning Semi-active Control for CurvePassing of High-speed Train[J].Electric Drive for Locomotives,2020,(02):109-112.[doi:10.13890/j.issn.1000-128x.2020.02.115]
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高速列车曲线通过迭代学习半主动控制研究()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2020年02期
页码:
109-112
栏目:
研究开发
出版日期:
2020-03-10

文章信息/Info

Title:
Research on Iterative Learning Semi-active Control for CurvePassing of High-speed Train
文章编号:
1000-128X(2020)02-0109-04
作者:
艾永军陈春俊李 新周建容
(西南交通大学 机械工程学院,四川 成都 610031)
Author(s):
AI Yongjun CHEN Chunjun LI Xin ZHOU Jianrong
( School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China )
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
Keywords:
high-speed train semi-active control curve pass iterative learning control stationarity safety simulation
分类号:
U292.91+4;U270.1+1
DOI:
10.13890/j.issn.1000-128x.2020.02.115
文献标志码:
A
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。
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:艾永军(1992—),男,硕士研究生,研究方向为高速列车自动化控制与检测。
更新日期/Last Update: 2020-03-10