Distributed MPC for Nonlinear Networked Vehicle Platoon System with Communication Delays

This paper investigates the platoon control problem for nonlinear networked vehicle systems, while taking into account the communication delay. The nonlinear system is linearly discretized and a linear distributed controller is designed using the distributed model predictive control (DMPC) method, while another controller is designed based on the fusion state estimation method. In the designed controllers, the linear distributed controller controls the stable operation of the platoon, and the fusion state estimation controller helps to solve the problem of missing state values of neighboring nodes caused by communication delay. Finally, simulation verifies the effectiveness of the algorithm and the stability of the vehicle platoon under the communication delay environment.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865719
Citations
2
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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Distributed MPC for Nonlinear Networked Vehicle Platoon System with Communication Delays

Jian‐Ge Wang, Heling Yuan, Xu Fang, Zhizhong Bai et al.
2 citations
Advanced Control Systems Optimization
0.66
article

Distributed MPC for Nonlinear Networked Vehicle Platoon System with Communication Delays

Jian‐Ge Wang, Heling Yuan, Xu Fang, Zhizhong Bai, Xiaolei Li, Xiaoyuan Luo, Shenao Cen
article en
2 citations

Abstract

This paper investigates the platoon control problem for nonlinear networked vehicle systems, while taking into account the communication delay. The nonlinear system is linearly discretized and a linear distributed controller is designed using the distributed model predictive control (DMPC) method, while another controller is designed based on the fusion state estimation method. In the designed controllers, the linear distributed controller controls the stable operation of the platoon, and the fusion state estimation controller helps to solve the problem of missing state values of neighboring nodes caused by communication delay. Finally, simulation verifies the effectiveness of the algorithm and the stability of the vehicle platoon under the communication delay environment.

Nanyang Technological University (SG), Yanshan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 27%
Advanced Control Systems Optimization
0.66
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