Modelling Method of Unmanned Vehicle Dynamics Based on Neural Network

Authors

• Jun Wang, Intelligent Game and Decision Lab (Military Intelligence Institute), Beijing 100001, China
• Min Liu, Intelligent Game and Decision Lab (Military Intelligence Institute), Beijing 100001, China
• Xiaochuan Zhang, Intelligent Game and Decision Lab (Military Intelligence Institute), Beijing 100001, China
• Yishan Ding, Defense Innovation Institute, Beijing 100071, China
• Juhui Feng, National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130021, China
• Ye Zhuang, National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130021, China

Abstract

Abstract: To address the challenges of high data acquisition costs of test data on dynamic characteristics between tires and soft terrain and low speed of numerical calculation for unmanned vehicles in complex terrestrial environments, a modeling method of unmanned vehicle dynamics based on a neural network was proposed. Tire-terrain contact dynamics models were built by using discrete element method (DEM) simulations for tire-terrain contact and experimental data, thereby creating a dataset of tire contact forces for various tire materials in terrestrial environments. The neural network was applied to regressively learn the dataset, and a nonlinear neural network tire model was constructed. Subsequently, a three-degree-of-freedom dynamics model of unmanned vehicles was constructed, and a physically meaningful and bounded dataset was generated. The results demonstrate that the model can achieve high-precision and efficient simulation of unmanned vehicle dynamics, fulfill the requirements for large-scale, high-precision, and fast calculation in simulated environments, and achieve fine-grained trajectory tracking control of unmanned vehicles.

Recommended Citation

Wang, Jun; Liu, Min; Zhang, Xiaochuan; Ding, Yishan; Feng, Juhui; and Zhuang, Ye (2026) "Modelling Method of Unmanned Vehicle Dynamics Based on Neural Network," Journal of System Simulation: Vol. 38: Iss. 4, Article 7.
DOI: 10.16182/j.issn1004731x.joss.24-0935
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss4/7

First Page

932

Last Page

947

CLC

TP18; U461.1

Recommended Citation

Wang Jun, Liu Min, Zhang Xiaochuan, et al. Modelling Method of Unmanned Vehicle Dynamics Based on Neural Network[J]. Journal of System Simulation, 2026, 38(4): 932-947.

Corresponding Author

Liu Min

DOI

10.16182/j.issn1004731x.joss.24-0935