A geometric approach to analysing the effects of time delays on stability of vehicular platoons with ring interconnections

被引:2
作者
Zhang, Junying [1 ]
Ma, Xindi [2 ]
Jiang, Qi [2 ]
机构
[1] Peking Univ, Coll Engn, Beijing 100871, Peoples R China
[2] Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
基金
中国国家自然科学基金;
关键词
Connected and automated vehicles; Platoon stability; Time delays; Bidirectional asymmetric control; ADAPTIVE CRUISE CONTROL; AUTONOMOUS VEHICLES; ACTUATOR; SYSTEMS; CONSENSUS; STRATEGY; HEADWAY;
D O I
10.1007/s12083-022-01367-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Platooning control of connected and automated vehicles relies on the collected information via onboard sensors and wireless vehicle-to-vehicle communication. However, sensing delay arises from perception and fusion of multiple onboard sensors, and communication delay arises from transmission intermittencies. Two types of time delays may compromise the stability of platoon systems. In this paper, we study the effects of sensing delay and communication delay on stability of the platoons, where multiple vehicles move in a closed roadway. Each vehicle utilizes the delay-based bidirectional asymmetric control to regulate individual longitudinal behaviours, in which nonidentical asymmetry factors between the direct front and back adjacent vehicles are used for the feedback gains of position, velocity, and acceleration information. The platoon system with three weighted Laplacian matrices is decomposed into a finite number of linear spatial modes. Based on a geometric analysis approach for two constant time delays, we obtain the region of stability preservation in the delays plane, as well as the threshold values of sensing delay and communication delay. Numerical calculations show that, in terms of stability margin with respect to time delays, the platoon system tends to have a higher tolerance for sensing delay than for communication delay, especially for small asymmetric level.
引用
收藏
页码:2542 / 2556
页数:15
相关论文
共 46 条
[1]   An Adaptive Switched Control Approach to Heterogeneous Platooning With Intervehicle Communication Losses [J].
Abou Harfouch, Youssef ;
Yuan, Shuai ;
Baldi, Simone .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2018, 5 (03) :1434-1444
[2]   Feedforward Strategies for Cooperative Adaptive Cruise Control in Heterogeneous Vehicle Strings [J].
Al-Jhayyish, Ahmed M. H. ;
Schmidt, Klaus Werner .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (01) :113-122
[3]   Nonlinear Network Modes in Cyclic Systems with Applications to Connected Vehicles [J].
Avedisov, Sergei S. ;
Orosz, Gabor .
JOURNAL OF NONLINEAR SCIENCE, 2015, 25 (04) :1015-1049
[4]  
Barooah P, 2005, IEEE DECIS CONTR P, P4964
[5]   Predictor-Based Adaptive Cruise Control Design [J].
Bekiaris-Liberis, Nikolaos ;
Roncoli, Claudio ;
Papageorgiou, Markos .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (10) :3181-3195
[6]   Behavioral Harmonization of a Cyclic Vehicular Platoon in a Closed Road Network [J].
Bian, Yougang ;
Li, Shengbo Eben ;
Xu, Biao ;
Qin, Xiaohui ;
Li, Shen ;
Xu, Qing ;
Wang, Jianqiang ;
Li, Keqiang .
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2021, 6 (03) :559-570
[7]   Reducing time headway for platooning of connected vehicles via V2V communication [J].
Bian, Yougang ;
Zheng, Yang ;
Ren, Wei ;
Li, Shengbo Eben ;
Wang, Jianqiang ;
Li, Keqiang .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 102 :87-105
[8]   Third-order safe consensus of heterogeneous vehicular platoons with MPF network topology: Constant time headway strategy [J].
Chehardoli, Hossein ;
Homaeinezhad, Mohammad R. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2018, 232 (10) :1402-1413
[9]  
CHIEN CC, 1995, PROCEEDINGS OF THE 1995 AMERICAN CONTROL CONFERENCE, VOLS 1-6, P3091
[10]   Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays [J].
di Bernardo, Mario ;
Salvi, Alessandro ;
Santini, Stefania .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (01) :102-112