Compensation control of commercial vehicle platoon considering communication delay and response lag

被引:2
作者
Liu, Hongxiang [1 ]
Chu, Duanfeng [1 ]
Zhong, Wei [2 ]
Gao, Bolin [2 ,3 ]
Lu, Yanbo [3 ]
Han, Shuo [3 ]
Lei, Wei [4 ]
机构
[1] Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr, Wuhan 430063, Peoples R China
[2] Tsinghua Univ, State Key Lab Intelligent Green Vehicle & Mobil, Beijing, Peoples R China
[3] Tsinghua Univ, Sch Vehicle & Mobil, Beijing 100084, Peoples R China
[4] Design & Res Inst Co Ltd, Hebei Prov Commun Planning, Baoding 050299, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Vehicle platoon; Communication delay; Response lag of commercial vehicle; Compensation control; MODEL-PREDICTIVE CONTROL;
D O I
10.1016/j.compeleceng.2024.109623
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The real-time accurate control of vehicle is of great significance for the stability of platoon driving. To address the impact of random time-varying communication delays, communication packet loss, data disorder, and significant response lag of commercial vehicle on platoon control performance in non-ideal communication environment, a novel compensation control method for commercial vehicle platoon is proposed to overcome the abovementioned issues. The proposed method significantly improves the impact of communication issues and vehicle response lag on platoon control, ensuring platoon safety while reducing inter-vehicle spacing and spacing error, and maintaining platoon stability. In addition, this method combines the comprehensive compensation mechanism with the Distributed Model Predictive Controller (DMPC), avoiding the establishment of additional compensation control modules and effectively reducing the computational burden. The results under emergency braking condition show that, compared with the method without compensation, the proposed method significantly reduces inter-vehicle spacing and spacing error, reducing the average maximum spacing error from 29.25 m to 1.44 m, shortening the error convergence time of the platoon by 28 %, and ensuring platoon stability. Additionally, compared to the compensation method based on Kalman Filtering (KF) and Smith predictor, the proposed method can reduce the average maximum spacing error by 60 % while maintaining similar convergence time and platoon stability.
引用
收藏
页数:16
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