[1]刘佳政,徐 娟.基于模糊预测控制的列车自动驾驶控制算法研究[J].控制与信息技术(原大功率变流技术),2018,(01):7-11.[doi:10.13889/j.issn.2096-5427.2018.01.002]
 LIU Jiazheng,XU Juan.ATO Controller Research Based on Predictive Fuzzy Control Algorithm[J].High Power Converter Technology,2018,(01):7-11.[doi:10.13889/j.issn.2096-5427.2018.01.002]
点击复制

基于模糊预测控制的列车自动驾驶控制算法研究()
分享到:

《控制与信息技术》(原《大功率变流技术》)[ISSN:2095-3631/CN:43-1486/U]

卷:
期数:
2018年01期
页码:
7-11
栏目:
控制理论与应用
出版日期:
2018-02-05

文章信息/Info

Title:
ATO Controller Research Based on Predictive Fuzzy Control Algorithm
文章编号:
2096-5427(2018)01-0007-05
作者:
刘佳政徐 娟
(湖南中车时代通信信号有限公司, 湖南 长沙 421007)
Author(s):
LIU JiazhengXU Juan
( Hunan CRRC Times Signal & Communication Co.,Ltd., Changsha, Hunan 421007, China )
关键词:
模糊预测控制列车自动驾驶多目标满意优化列车自动驾驶策略滚动优化
Keywords:
predictive fuzzy control automatic train operation multi-objective optimization automatic operate strategy rolling optimization
分类号:
TP391.99 ;U260.4
DOI:
10.13889/j.issn.2096-5427.2018.01.002
文献标志码:
A
摘要:
随着轨道交通的高速发展,列车高效率、高密度的运营需求不断增长,研究列车自动驾驶(ATO)系统中更有效的控制算法是必要的。列车运行过程是一个复杂的非线性系统,而模糊预测控制算法具有控制效果好、鲁棒性强、对模型精确度要求不高,可以克服各种不确定性和复杂变化的影响等优点。文章采用基于模糊预测控制的方法进行ATO 研究,根据列车运行过程中几个优化控制目标确定其相应的评价函数,并建立多步预测控制模型,用多目标满意优化模型进行滚动优化。仿真实验结果验证了该算法和模型的有效性。
Abstract:
With the rapid development of railway transportation in recent years, the demand of high efficiency and high density train operation is increasing. It is necessary to study more effective control algorithm in ATO system. As the train operation process is a complex nonlinear system, and fuzzy predictive control algorithm has good control effect and strong robustness, the model accuracy requirement is not high, it can overcome the influence of various uncertainty and complex changes. So in this paper, a predictive fuzzy control method was used for train automatic operation. It summarized the train movement equation and determined its corresponding evaluation function in the process of train running according to several optimization goal, and established the multi-step predictive control model, its rolling optimization using fuzzy multi-objective optimization model. Simulation results verified the correctness of the algorithm and the model.

参考文献/References:

[1]唐涛,黄良骥. 列车自动驾驶系统控制算法综述[J]. 铁道学报, 2003,25(2):98-102.
TANG T,HUANG L J. A survey of control algorithm for automatic train operation[J]. Journal of the China Railway Society,2003, 25(2):98-102.
[2]陈荣武,刘莉,褚昌钤. 基于CBTC 的列车自动驾驶控制算法[J]. 计算机应用,2007,27(11):2649-2651.
 CHEN R W. LIU L,ZHU C Q. Automatic train operation and its control algorithm based on CBTC[J]. Journal of Computer Applications, 2007, 27(11):2649-2651.
[3]WONG K K, HO T K. Coast control for mass rapid transit railways with searching methods[J]. IEEE Proc-Electr Power Appl, 2004,151(3):365-396.
[4]HOWLETT P G. The optimal control of a train[J]. Annals of Operations Research, 2000, 98(1-4):65-87.
[5]YASUNOBU S, MIYAMOTO S, IHARAH H. A Fuzzy Control for Train Automatic Stop Control[J]. Transactions of the Society of Instrument and Control Engineers, 2002, 2(1):1-9.
[6]BU B, YANG J, WEN S, et al. Predictive Function Control for Communication-Based Train Control (CBTC) Systems[J]. Int J Adv Robotic Sy, 2013, 10(1):79.
[7]QI H F, WEI X. Design of maglev Automatic Train Operation system and research on predictive control algorithm[C]//2011 IEEE International Conference on Computer Science and Automation Engineering (CSAE). IEEE, 2011, 3:463-470.
[8]冯晓云. 模糊预测控制及其在列车自动驾驶中的应用研究[D]. 成都:西南交通大学,2001.
[9]毛保华,李夏苗,牛惠民. 列车运行计算与设计[M]. 北京:人民交通出版社,2008.
[10]韩长虎,刘杰民. 列车优化运行与操纵[M]. 北京:中国铁道出版社,2012.

备注/Memo

备注/Memo:
收稿日期:2018-01-08
作者简介:刘佳政(1989-),男,工程师,主要从事列车自动驾驶方面的研发工作。
更新日期/Last Update: 2018-03-06