Longitudinal, Lateral, and Vertical Coordinated Control of Active Hydro-Pneumatic Suspension System Based on Model Predictive Control for Mining Dump Truck

Considering the variability of driving conditions in mining areas, existing control strategies are difficult to meet the comprehensive performance requirements of mining dump trucks in the longitudinal, lateral, and vertical directions. Longitudinal, lateral, and vertical (LLV) coordinated control of active hydro-pneumatic suspension system based on model predictive control (MPC) is constructed in this paper. The vehicle dynamic response under random road surface input based on wheelbase characteristics is established, and the rationality of the active hydro-pneumatic suspension LLV coordinated control strategy based on MPC is analyzed. Handling stability is taken as the overall control objective for active hydro-pneumatic suspension on C-class road surfaces. The dynamic tire loads of the six wheels of the mining dump truck are reduced by 25.8%, 29.1%, 30.6%, 27.6%, 29.9%, and 28.1%, respectively, in the unloaded state, while the longitudinal, lateral, and vertical body accelerations have not deteriorated. Under the E-class road surface, the overall control objective of the mining dump truck is comfort, and the longitudinal, lateral, and vertical accelerations in the unloaded state have been optimized by 34.6%, 31.4%, and 34.1%, respectively.

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Publication Details

Journal
Machines
Published
2026-01-22
DOI
https://doi.org/10.3390/machines14010133
Citations
1
Primary Topic
Vibration Control and Rheological Fluids
Type
article
Field-Weighted Citation Impact
19.37

Funders

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article

Longitudinal, Lateral, and Vertical Coordinated Control of Active Hydro-Pneumatic Suspension System Based on Model Predictive Control for Mining Dump Truck

Hao Cui, Lin Yang, Wei Liu, Guangjia Wang et al.
1 citations
Machines
Vibration Control and Rheological Fluids
19.37
article

Longitudinal, Lateral, and Vertical Coordinated Control of Active Hydro-Pneumatic Suspension System Based on Model Predictive Control for Mining Dump Truck

Hao Cui, Lin Yang, Wei Liu, Guangjia Wang, Lanchun Zhang
article en
1 citations

Abstract

Considering the variability of driving conditions in mining areas, existing control strategies are difficult to meet the comprehensive performance requirements of mining dump trucks in the longitudinal, lateral, and vertical directions. Longitudinal, lateral, and vertical (LLV) coordinated control of active hydro-pneumatic suspension system based on model predictive control (MPC) is constructed in this paper. The vehicle dynamic response under random road surface input based on wheelbase characteristics is established, and the rationality of the active hydro-pneumatic suspension LLV coordinated control strategy based on MPC is analyzed. Handling stability is taken as the overall control objective for active hydro-pneumatic suspension on C-class road surfaces. The dynamic tire loads of the six wheels of the mining dump truck are reduced by 25.8%, 29.1%, 30.6%, 27.6%, 29.9%, and 28.1%, respectively, in the unloaded state, while the longitudinal, lateral, and vertical body accelerations have not deteriorated. Under the E-class road surface, the overall control objective of the mining dump truck is comfort, and the longitudinal, lateral, and vertical accelerations in the unloaded state have been optimized by 34.6%, 31.4%, and 34.1%, respectively.

MachinesVol. 14(1)
Jiangsu University (CN), Jiangsu University of Technology (CN)
National Natural Science Foundation of China, Government of Jiangsu Province
Openalex Percentile: Top 2%
Vibration Control and Rheological Fluids
19.37
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