2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于时变间距和相对角度的无人车跟随控制方法研究

李润梅 张立威 王剑

李润梅, 张立威, 王剑. 基于时变间距和相对角度的无人车跟随控制方法研究. 自动化学报, 2018, 44(11): 2031-2040. doi: 10.16383/j.aas.2018.c170106
引用本文: 李润梅, 张立威, 王剑. 基于时变间距和相对角度的无人车跟随控制方法研究. 自动化学报, 2018, 44(11): 2031-2040. doi: 10.16383/j.aas.2018.c170106
LI Run-Mei, ZHANG Li-Wei, WANG Jian. A Control Method of Unmanned Car Following Under Time-varying Relative Distance and Angle. ACTA AUTOMATICA SINICA, 2018, 44(11): 2031-2040. doi: 10.16383/j.aas.2018.c170106
Citation: LI Run-Mei, ZHANG Li-Wei, WANG Jian. A Control Method of Unmanned Car Following Under Time-varying Relative Distance and Angle. ACTA AUTOMATICA SINICA, 2018, 44(11): 2031-2040. doi: 10.16383/j.aas.2018.c170106

基于时变间距和相对角度的无人车跟随控制方法研究

doi: 10.16383/j.aas.2018.c170106
详细信息
    作者简介:

    张立威  北京交通大学研究生.2011年于北京石油化工学院获得学士学位.主要研究方向为无人车编队系统控制和优化.E-mail:15120226@bjtu.edu.cn

    王剑  北京交通大学教授.2007年于北京交通大学获得博士学位.主要研究方向为列车运行控制及卫星导航在铁路领域的理论研究、技术创新.E-mail:jwang@bjtu.edu.cn

    通讯作者:

    李润梅  北京交通大学副教授.2005年于中国科学院自动化研究所获得博士学位.主要研究方向为智能车路协同系统, 无人车控制关键技术研究, 交通大数据处理与预测.本文通信作者.E-mail:rmli@bjtu.edu.cn

A Control Method of Unmanned Car Following Under Time-varying Relative Distance and Angle

More Information
    Author Bio:

     Graduate student at Beijing Jiaotong University. She received her bachelor degree in control technology and instrument from Beijing Institute of Petrochemical Technology in 2011. Her research interest covers control and optimization with application in driverless cars formation systems

     Professor at Beijing Jiaotong University. He received his Ph. D. degrees for Beijing Jiaotong University, Beijing, China, in 2007. His research interest covers communication based train control, theoretical research and technical innovation of satellite navigation in the railways

    Corresponding author: LI Run-Mei  Associate professor at Beijing Jiaotong University. She received her Ph. D. degree in control theory and control engineering from the Institute of Automation, Chinese Academy of Sciences in 2005. Her research interest covers intelligent vehicle road coordination system, key technologies of driverless cars and traffic big data processing and prediction. Corresponding author of this paper
  • 摘要: 本文考虑实际道路上的车辆跟随运行模式,研究了无人车以时变的相对距离和相对角度跟随行驶的控制问题.本文首先采用领航跟随模式建立了领航车与跟随车之间的误差模型,将无人车之间的相对距离和相对角度作为时变量输入.接着使用反馈控制法设计了跟随车速度控制器和角速度控制器.用李雅普诺夫方法证明了控制器的稳定性,用Barbalat引理从理论上证明了跟踪误差渐近收敛.最后用Matlab/Simulink对无人车的跟随控制进行仿真,仿真结果表明在无人车之间的相对距离和相对角度是时变量的条件下,跟随车可以很好地沿着领航车的前进轨迹跟随行驶.
    1)  本文责任编委 魏庆来
  • 图  1  无人车领航跟随结构

    Fig.  1  Leader-follower structure of unmanned cars

    图  2  时变期望相对角度简化示意图

    Fig.  2  Simplifled schematic of time-varying relative angle

    图  3  无人车跟随控制系统

    Fig.  3  Control system of unmanned cars following

    图  4  反馈控制器Simulink框图

    Fig.  4  Simulink diagram of feedback controller

    图  5  领航车行驶轨迹曲线

    Fig.  5  Travel trajectory curve of leader

    图  6  领航车的加速度

    Fig.  6  Leader0s acceleration

    图  7  领航车速度

    Fig.  7  Leader0s speed

    图  8  两车相对距离与领航车速度关系曲线

    Fig.  8  The relationship between relative distance between unmanned cars and the speed of the leader car

    图  9  领航车角速度

    Fig.  9  Angular velocity of leader

    图  10  期望相对角度

    Fig.  10  Expected relative angle

    图  11  两无人车的速度跟随曲线

    Fig.  11  Velocity following of two unmaned cars

    图  12  两无人车之间的三个误差

    Fig.  12  Three errors between two unmanned cars

    图  13  两无人车之间的行驶路径

    Fig.  13  Movement track of two unmanned cars

  • [1] 杨帆, 云美萍, 杨晓光.基于多智能体的车路协同环境下单车道微观交通流模型.同济大学学报(自然科学版), 2012, 40(8):1189-1196 doi: 10.3969/j.issn.0253-374x.2012.08.012

    Yang Fan, Yun Mei-Ping, Yang Xiao-Guang. Single lane microscopic traffic flow model based on multi-agent in CVIS circumstance. Journal of Tongji University (Natural Science), 2012, 40(8):1189-1196 doi: 10.3969/j.issn.0253-374x.2012.08.012
    [2] Dethe N S, Shevatkar V S, Bijwe R P. Google driverless car. International Journal of Scientific Research in Science, Engfineering and Technology, 2011, 21(2):2394-4099 http://d.old.wanfangdata.com.cn/Periodical/qcdq201712006
    [3] 王家恩, 陈无畏, 王檀彬, 汪明磊, 肖灵芝.基于期望横摆角速度的视觉导航智能车辆横向控制.机械工程学报, 2012, 48(4):108-115 http://d.old.wanfangdata.com.cn/Periodical/jxgcxb201204018

    Wang Jia-En, Chen Wu-Wei, Wang Tan-Bin, Wang Ming-Lei, Xiao Ling-Zhi. Vision guided intelligent vehicle lateral control based on desired yaw rate. Journal of Mechanical Engineering, 2012, 48(4):108-115 http://d.old.wanfangdata.com.cn/Periodical/jxgcxb201204018
    [4] 田涛涛, 侯忠生, 刘世达, 邓志东.基于无模型自适应控制的无人驾驶汽车横向控制方法.自动化学报, 2017, 43(11):1931-1940 http://www.aas.net.cn/CN/abstract/abstract19168.shtml

    Tian Tao-Tao, Hou Zhong-Sheng, Liu Shi-Da, Deng Zhi-Dong. Model-free adaptive control based lateral control of self-driving car. Acta Automatica Sinica, 2017, 43(11):1931-1940 http://www.aas.net.cn/CN/abstract/abstract19168.shtml
    [5] 刘伟, 肖旭辉, 魏敬东.无人驾驶汽车横向滑模控制仿真研究.北京汽车, 2017, (4):31-34 http://d.old.wanfangdata.com.cn/Periodical/bjqc201704009

    Liu Wei, Xiao Xu-Hui, Wei Jing-Dong. Simulation study on horizontal sliding mode control of driverless cars. Beijing Automotive Engineering, 2017, (4):31-34 http://d.old.wanfangdata.com.cn/Periodical/bjqc201704009
    [6] Nouveliére L, Mammar S D. Experimental vehicle longitudinal control using a second order sliding mode technique. Control Engineering Practice, 2007, 15(8):943-954 doi: 10.1016/j.conengprac.2006.11.011
    [7] Li R M, Zhang L W, Han L, Wang J. Multiple vehicle formation control based on robust adaptive control algorithm. IEEE Intelligent Transportation Systems Magazine, 2017, 9(2):41-51 doi: 10.1109/MITS.2017.2666581
    [8] Peters A A, Middleton R H, Mason O. Cyclic interconnection for formation control of 1-D vehicle strings. European Journal of Control, 2016, 27:36-44 doi: 10.1016/j.ejcon.2015.12.002
    [9] Wang P K C. Navigation strategies for multiple autonomous mobile robots moving in formation. In: Proceedings of 1989 IEEE/RSJ International Workshop on Intelligent Robots and Systems' 89. Tsukuba, Japan, Japan: IEEE, 1989. 486-493
    [10] No T S, Chong K T, Roh D H. A Lyapunov function approach to longitudinal control of vehicles in a platoon. IEEE Transactions on Vehicular Technology, 2000, 50(1):116-124 doi: 10.1299-jsmec.47.653/
    [11] 任殿波, 张继业, 李维军.基于滑模控制的时滞自动车辆跟随系统数学模型.公路交通科技, 2008, 25(1):142-145 doi: 10.3969/j.issn.1002-0268.2008.01.028

    Ren Dian-Bo, Zhang Ji-Ye, Li Wei-Jun. Mathematical model of automated vehicle following system with delay based on sliding model control method. Journal of Highway and Transportation Research and Development, 2008, 25(1):142-145 doi: 10.3969/j.issn.1002-0268.2008.01.028
    [12] 任殿波, 张京明, 崔胜民, 张继业.基于向量Lyapunov函数方法的顾前顾后型车辆跟随控制.中南大学学报(自然科学版), 2010, 41(6):2195-2200 http://d.old.wanfangdata.com.cn/Periodical/zngydxxb201006025

    Ren Dian-Bo, Zhang Jing-Ming, Cui Sheng-Min, Zhang Ji-Ye. Vehicle following control using front and back information based on vector Lyapunov function. Journal of Central South University (Science and Technology), 2010, 41(6):2195-2200 http://d.old.wanfangdata.com.cn/Periodical/zngydxxb201006025
    [13] 玄建永, 陆耿, 王京春.基于缩微智能车的车辆跟随控制系统.信息与控制, 2014, 43(2):165-170 http://d.old.wanfangdata.com.cn/Periodical/xxykz201402007

    Xuan Jian-Yong, Lu Geng, Wang Jing-Chun. Vehicle following control system based on micro smart car. Information and Control, 2014, 43(2):165-170 http://d.old.wanfangdata.com.cn/Periodical/xxykz201402007
    [14] 钱方.基于反馈线性化的车辆编队控制[硕士学位论文], 大连海事大学, 中国, 2011 http://cdmd.cnki.com.cn/Article/CDMD-10151-1011110855.htm

    Qian Fang. Vehicle formation control based on feedback linearization[Master dissertation], Dalian Maritime University, China, 2011 http://cdmd.cnki.com.cn/Article/CDMD-10151-1011110855.htm
    [15] 侯德藻, 刘刚, 高锋, 李克强, 连小珉.新型汽车主动避撞安全距离模型.汽车工程, 2005, 27(2):186-190 doi: 10.3321/j.issn:1000-680X.2005.02.015

    Hou De-Zao, Liu Gang, Gao Feng, Li Ke-Qiang, Lian Xiao-Min. A new safety distance model for vehicle collision avoidance. Automotive Engineering, 2005, 27(2):186-190 doi: 10.3321/j.issn:1000-680X.2005.02.015
    [16] 赵明, 林茂松, 黄玉清.基于动态φ值的领航跟随法多机器人编队控制.西南科技大学学报(自然科学版), 2013, 28(4):57-61 http://d.old.wanfangdata.com.cn/Periodical/xngxyxb201304011

    Zhao Ming, Lin Mao-Song, Huang Yu-Qing. Leader-following formation control of multi-robots based on dynamic value of φ. Journal of Southwest University of Science and Technology, 2013, 28(4):57-61 http://d.old.wanfangdata.com.cn/Periodical/xngxyxb201304011
    [17] 范家璐, 姜艺, 柴天佑.无线网络环境下工业过程运行反馈控制方法.自动化学报, 2016, 42(8):1166-1174 http://www.aas.net.cn/CN/abstract/abstract18906.shtml

    Fan Jia-Lu, Jiang Yi, Chai Tian-You. Operational feedback control of industrial processes in a wireless network environment. Acta Automatica Sinica, 2016, 42(8):1166-1174 http://www.aas.net.cn/CN/abstract/abstract18906.shtml
    [18] 闵颖颖, 刘允刚. Barbalat引理及其在系统稳定性分析中的应用.山东大学学报(工学版), 2007, 37(1):51-55 doi: 10.3969/j.issn.1672-3961.2007.01.013

    Min Ying-Ying, Liu Yun-Gang. Barbalat lemma and its application in analysis of system stability. Journal of Shandong University, 2007, 37(1):51-55 doi: 10.3969/j.issn.1672-3961.2007.01.013
    [19] 俞志英, 郭戈.基于自适应卡尔曼滤波的车辆编队控制.辽宁工程技术大学学报(自然科学版), 2016, (11):1312-1315 doi: 10.11956/j.issn.1008-0562.2016.11.021

    Yu Zhi-Ying, Guo Ge. Vehicle formation control based on adaptive Kalman filter. Journal of Liaoning Technical University (Natural Science), 2016, (11):1312-1315 doi: 10.11956/j.issn.1008-0562.2016.11.021
    [20] Guo X G, Wang J L, Liao F, Teo R S H. Distributed adaptive sliding mode control strategy for vehicle-following systems with nonlinear acceleration uncertainties. IEEE Transactions on Vehicular Technology, 2017, 66(2):981-991 doi: 10.1109/TVT.2016.2556938
    [21] Dixon W E, Dawson D M, Zergeroglu E, Behal A. Nonlinear Control of Wheeled Mobile Robots. London: Springer, 2001.
    [22] Wu Z H, Huang N E. A study of the characteristics of white noise using the empirical mode decomposition method. Proceedings of The Royal Society A:Mathematical, and Engineering Sciences, 2004, 460(2046):1597-1611 doi: 10.1098/rspa.2003.1221
  • 加载中
图(13)
计量
  • 文章访问数:  2367
  • HTML全文浏览量:  487
  • PDF下载量:  1003
  • 被引次数: 0
出版历程
  • 收稿日期:  2017-02-27
  • 录用日期:  2018-01-01
  • 刊出日期:  2018-11-20

目录

    /

    返回文章
    返回