Trajectory Tracking Control Strategy of 20-Ton Heavy-Duty AGV Considering Load Transfer

During the operation of outdoor heavy-duty Automated Guided Vehicle (AGV), the stability and safety of AGV are easily reduced due to load transfer. In order to solve this problem, a trajectory tracking control strategy considering load transfer is proposed to realize the trajectory tracking of AGV a...

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Main Authors: Xia Li, Shengzhan Chen, Xiaojie Chen, Benxue Liu, Chengming Wang, Yufeng Su
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/8/4512
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author Xia Li
Shengzhan Chen
Xiaojie Chen
Benxue Liu
Chengming Wang
Yufeng Su
author_facet Xia Li
Shengzhan Chen
Xiaojie Chen
Benxue Liu
Chengming Wang
Yufeng Su
author_sort Xia Li
collection DOAJ
description During the operation of outdoor heavy-duty Automated Guided Vehicle (AGV), the stability and safety of AGV are easily reduced due to load transfer. In order to solve this problem, a trajectory tracking control strategy considering load transfer is proposed to realize the trajectory tracking of AGV and the adaptive distribution of driving torque. The three-degree-of-freedom (3-DOF) kinematics model and pose error model of heavy-duty AGV vehicles are established. The lateral load transfer and longitudinal load transfer rules are analyzed. The vehicle trajectory tracking control strategy is composed of an improved model predictive controller (IMPC) and drive motor torque adaptive distribution controller considering load transfer. By optimizing the lateral acceleration of the vehicle body, the IMPC controller improves the problem of large driving force difference between the left and right sides of the wheel caused by the lateral transfer of the load and the problem of large wheel adhesion rate caused by the longitudinal transfer of the load is improved by the speed controller and the torque proportional distribution controller. The joint simulation platform of MATLAB/Simulink and CarSim is built to simulate and analyze the trajectory tracking of heavy-duty AGV under different pavement adhesion coefficients. The simulation results have shown that compared with the control strategy without considering load transfer, on the two types of pavements with different adhesion coefficients, the maximum lateral acceleration is reduced by 19.7%, and the maximum tire adhesion rate is reduced by 11.5%.
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spelling doaj-art-df538acd80f04e5f92da43446ab5154c2025-08-20T02:28:40ZengMDPI AGApplied Sciences2076-34172025-04-01158451210.3390/app15084512Trajectory Tracking Control Strategy of 20-Ton Heavy-Duty AGV Considering Load TransferXia Li0Shengzhan Chen1Xiaojie Chen2Benxue Liu3Chengming Wang4Yufeng Su5School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, ChinaDuring the operation of outdoor heavy-duty Automated Guided Vehicle (AGV), the stability and safety of AGV are easily reduced due to load transfer. In order to solve this problem, a trajectory tracking control strategy considering load transfer is proposed to realize the trajectory tracking of AGV and the adaptive distribution of driving torque. The three-degree-of-freedom (3-DOF) kinematics model and pose error model of heavy-duty AGV vehicles are established. The lateral load transfer and longitudinal load transfer rules are analyzed. The vehicle trajectory tracking control strategy is composed of an improved model predictive controller (IMPC) and drive motor torque adaptive distribution controller considering load transfer. By optimizing the lateral acceleration of the vehicle body, the IMPC controller improves the problem of large driving force difference between the left and right sides of the wheel caused by the lateral transfer of the load and the problem of large wheel adhesion rate caused by the longitudinal transfer of the load is improved by the speed controller and the torque proportional distribution controller. The joint simulation platform of MATLAB/Simulink and CarSim is built to simulate and analyze the trajectory tracking of heavy-duty AGV under different pavement adhesion coefficients. The simulation results have shown that compared with the control strategy without considering load transfer, on the two types of pavements with different adhesion coefficients, the maximum lateral acceleration is reduced by 19.7%, and the maximum tire adhesion rate is reduced by 11.5%.https://www.mdpi.com/2076-3417/15/8/4512heavy-duty AGVimproved MPCload transfertrajectory trackingtorque adaptive distribution controller
spellingShingle Xia Li
Shengzhan Chen
Xiaojie Chen
Benxue Liu
Chengming Wang
Yufeng Su
Trajectory Tracking Control Strategy of 20-Ton Heavy-Duty AGV Considering Load Transfer
Applied Sciences
heavy-duty AGV
improved MPC
load transfer
trajectory tracking
torque adaptive distribution controller
title Trajectory Tracking Control Strategy of 20-Ton Heavy-Duty AGV Considering Load Transfer
title_full Trajectory Tracking Control Strategy of 20-Ton Heavy-Duty AGV Considering Load Transfer
title_fullStr Trajectory Tracking Control Strategy of 20-Ton Heavy-Duty AGV Considering Load Transfer
title_full_unstemmed Trajectory Tracking Control Strategy of 20-Ton Heavy-Duty AGV Considering Load Transfer
title_short Trajectory Tracking Control Strategy of 20-Ton Heavy-Duty AGV Considering Load Transfer
title_sort trajectory tracking control strategy of 20 ton heavy duty agv considering load transfer
topic heavy-duty AGV
improved MPC
load transfer
trajectory tracking
torque adaptive distribution controller
url https://www.mdpi.com/2076-3417/15/8/4512
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AT shengzhanchen trajectorytrackingcontrolstrategyof20tonheavydutyagvconsideringloadtransfer
AT xiaojiechen trajectorytrackingcontrolstrategyof20tonheavydutyagvconsideringloadtransfer
AT benxueliu trajectorytrackingcontrolstrategyof20tonheavydutyagvconsideringloadtransfer
AT chengmingwang trajectorytrackingcontrolstrategyof20tonheavydutyagvconsideringloadtransfer
AT yufengsu trajectorytrackingcontrolstrategyof20tonheavydutyagvconsideringloadtransfer