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浙江大学学报(工学版)
JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE)
Civil and Traffic Engineering     
Starting control of platooning trucks based on actual gearshift schedule
LI Ming da,KUI Hai lin,MEN Yu zhuo,BAO Cui zhu
1. College of Transportation, Jilin University, Changchun 130022, China；
2. School of Mechatronics Engineering, Changchun Institute of Technology, Changchun 130012, China
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Abstract  

456 segments gear status data in the start process were extracted from the experiment vehicle traveling 35,000 kilometers in order to solve the starting control problem of platooning trucks.The corresponding gearshift rule was developed with the statistics and analysis.The control model of vehicle platoon was established by using adaptive fuzzy control algorithm. The weight coefficients were decided through the gear status information of the following vehicle. They were used to adjust the input scale of fuzzy controller in order to improve the adaptability of control algorithm. Through cosimulation of TruckSim and Matlab, three trucks platoon was simulated in the case of vehiclevehicle communication environment using the test data from real vehicle as the simulation conditions of the leader truck. The simulation results show that the travel space error between two vehicles can be controlled within 5 percent of driving distance in unit time. The control model has certain control accuracy.

Published: 14 January 2017
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LI Ming da,KUI Hai lin,MEN Yu zhuo,BAO Cui zhu. Starting control of platooning trucks based on actual gearshift schedule. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2016, 50(5): 887-892.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008973X.2016.05.011     OR     http://www.zjujournals.com/eng/Y2016/V50/I5/887


基于实际换挡规律的卡车列队行驶起步控制

为了解决卡车列队行驶起步过程中的控制问题,在车辆行驶35 万公里的实验数据中提取456 段起步过程的挡位数据,对该数据中各挡位的使用情况进行统计与分析.根据统计结果制定相应的换挡规则,利用自适应模糊控制算法设计车辆列队行驶的控制模型,在模型中通过跟随车辆的挡位信息对模糊控制器的输入量进行加权系数调整,提高控制算法的自适应性,通过TruckSim和Matlab的联合仿真,将实车实验数据作为头车模拟工况,模拟3辆卡车在车联网环境下的列队起步过程,仿真结果表明起步过程中的行驶间距误差可以控制在车辆单位时间内行驶距离的5%以内,具有一定的控制精度.

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