Journal of Jilin University(Engineering and Technology Edition) ›› 2026, Vol. 56 ›› Issue (1): 247-256.doi: 10.13229/j.cnki.jdxbgxb.20240678

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Obstacle avoidance control for truck platoon using distributed model predictive control

Wen-bo LI1(),Hua-cheng XIE1,Shu-you YU1,2,Bao-jun LIN1(),Hong CHEN1,3   

  1. 1.College of Control Science and Engineering,Jilin University,Changchun 130022,China
    2.The Key Laboratory of Industrial Internet of Things and Networked Control,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    3.College of Electronics and Information Engineering,Tongji University,Shanghai 200092,China
  • Received:2024-06-18 Online:2026-01-01 Published:2026-02-03
  • Contact: Bao-jun LIN E-mail:liwb21@mails.jlu.edu.cn;linbj@jlu.edu.cn

Abstract:

For the obstacle avoidance control problem of truck platoons, this paper proposes a hierarchical control method with upper-layer trajectory planning and lower-layer trajectory tracking. In the upper layer, a leader truck trajectory planning method based on model predictive control is designed using a particle filter algorithm, which transforms the optimization problem into a probabilistic estimation problem, thereby improving the solution efficiency. In the lower layer, considering the strong nonlinearity of the coupled longitudinal and lateral dynamics of trucks, a distributed model predictive controller based on an integrated longitudinal-lateral dynamics model is developed to enhance control accuracy. Co-simulation results using TruckSim and Matlab/Simulink demonstrate that the designed two-layer control architecture ensures obstacle-avoidance driving for truck platoons, and in various road scenarios, the proposed distributed model predictive controller effectively tracks the planned trajectory.

Key words: control theory and control engineering, truck platoon, obstacle avoidance control, model predictive control, vehicle coupling characteristic

CLC Number: 

  • TP273

Fig.1

Path tracking control system"

Table 1

Parameters of controller"

参数数值/单位参数数值/单位
Hr5δmax35o
Tr0.1?sN?8
Qrdiag(100,100,0,0)α5
Rrdiag(10,100)β3
δmin-35oTi,mind-5000N?m
Qi105diag(10,20,10,130)Hp22
Ridiag(107,10-2)Ts0.01?s

Fig.2

Path planning results of working case 1"

Fig.3

Simulation results of case 1"

Fig.4

Path planning results of working case 2"

Fig.5

Simulation results of case 2"

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