Lateral and longitudinal hierarchical control of port AGV path tracking based on MPC and SMC

To improve the accuracy and stability of AGV (Automated Guided Vehicle) path tracking in ports, and to address the issue of large lateral impact on tires during turns, a lateral and longitudinal hierarchical control strategy is proposed. The MPC (Model Predictive Control) lateral controller is constructed based on the AGV’s dynamics model. The SMC (Sliding Mode Control) longitudinal controller is built on a first-order inertial system, and the PI (Proportion Integration) controller is used to implement the drive or brake control of the AGV. Finally, under the joint Simulink and Trucksim simulation platform, the no-load motion performance of AGVs under typical working conditions is tested and verified. The simulation results show that the proposed control strategy can meet the parking accuracy and curve driving stability requirements of port AGVs, and the tire force during turning is small.

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Publication Details

Journal
IET conference proceedings.
Published
2024-11-01
DOI
https://doi.org/10.1049/icp.2024.3648
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Lateral and longitudinal hierarchical control of port AGV path tracking based on MPC and SMC

Zhihang Zhong, Wenfeng Li, Qiang Zhang
IET conference proceedings.
Advanced Manufacturing and Logistics Optimization
article

Lateral and longitudinal hierarchical control of port AGV path tracking based on MPC and SMC

Zhihang Zhong, Wenfeng Li, Qiang Zhang
article en

Abstract

To improve the accuracy and stability of AGV (Automated Guided Vehicle) path tracking in ports, and to address the issue of large lateral impact on tires during turns, a lateral and longitudinal hierarchical control strategy is proposed. The MPC (Model Predictive Control) lateral controller is constructed based on the AGV’s dynamics model. The SMC (Sliding Mode Control) longitudinal controller is built on a first-order inertial system, and the PI (Proportion Integration) controller is used to implement the drive or brake control of the AGV. Finally, under the joint Simulink and Trucksim simulation platform, the no-load motion performance of AGVs under typical working conditions is tested and verified. The simulation results show that the proposed control strategy can meet the parking accuracy and curve driving stability requirements of port AGVs, and the tire force during turning is small.

IET conference proceedings.Vol. 2023(49)
Wuhan University of Technology (CN)
Openalex Percentile: Top 67%
Advanced Manufacturing and Logistics Optimization
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