Experimental Evaluation of Cooperative Adaptive Cruise Control with Autonomous Mobile Robots

被引:0
|
作者
Lin, Yuan [1 ]
Eskandarian, Azim [1 ]
机构
[1] Virginia Tech, Mech Engn, Blacksburg, VA 24061 USA
来源
2017 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA 2017) | 2017年
关键词
STRING STABILITY; DESIGN; CHALLENGES; VEHICLES; SYSTEM;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cooperative Adaptive Cruise Control (CACC) is made possible with connected vehicles to achieve tight vehicle following. Vehicle-to-vehicle wireless communication can provide information that is not present using available in-vehicle sensors and can aid the development of better control strategies for following. Current theoretical and experimental studies have shown that CACC systems reduce the inter-vehicle headway as compared to Adaptive Cruise Control (ACC) systems while guaranteeing string stability, i.e., gap-keeping error doesn't propagate throughout the platoon. This paper focuses on implementation of a CACC system on unmanned ground robots. The step response for the transfer function of the CACC system equals a step input and thus demands zero rise time. Our robot platooning experiment results have demonstrated the advantages of CACC over ACC in maintaining a small inter-vehicle headway.
引用
收藏
页码:281 / 286
页数:6
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