作者：杨伟芳, 陈春俊, 邓力
作者单位：西南交通大学机械工程学院, 四川 成都 610031
关键词：高速列车; 隧道压力波; 车体气密性; 迭代学习控制; AMESIM软件
摘要：
高速列车在隧道中运行、交会时,车体表面将形成复杂的膨胀波和压缩波,引起车体变形,影响行车安全。车外压力波通过车体传入车内引起车内空气压力的波动,影响乘车舒适度。使用实测的隧道压力波为期望波形,采用AMESIM与Matlab构建联合仿真的模式来设计高速列车隧道压力波模拟控制系统。针对模拟系统大容量、大滞后及强非线性特点,采用迭代学习控制算法来实现隧道压力波的重建。仿真验证表明:迭代学习控制算法的控制误差比常规算法小,控制效果较理想。
Simulation and control research of tunnel pressure wave simulation system for high-speed trains
YANG Wei-fang, CHEN Chun-jun, DENG Li
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Abstract: When a high-speed train runs or meets another train in the tunnel, the complex waves of expansion and compression will form on the surface of train body. These waves will cause train body deformation, safety problem and discomfort when the pressure waves get into the carriage and cause pressure fluctuations of the inside air. Using the measured tunnel pressure wave as desired object, a co-simulation model based on software AMESIM and MATLAB was built to design the tunnel pressure wave simulation system. Because of the characteristics of simulation system as large-capacity, large delay and non-linear, the iterative learning control algorithm was used to reconstruction the tunnel pressure wave. Verified by simulation, the error of iterative learning control algorithm is less compared to conventional control algorithms, and the control effect is better.
Keywords: high-speed train; tunnel pressure wave; train body airtight; iterative learning control; AMESIM
2014, 40(2): 101-104 收稿日期: 2013-3-15;收到修改稿日期: 2013-5-17
基金项目: 国家科技支撑计划项目(2009BAG12A01-E04);中央高校基本科研业务费专项资金项目(SWJTU12CX038)
作者简介: 杨伟芳(1987-),女,浙江绍兴市人,硕士研究生,专业方向为自动化测试技术。
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