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Operator model for wheel loader short-cycle loading handling
DOI:10.1016/j.autcon.2024.105691.png)
摘要
En 中文
The need to virtually analyze the interaction between construction equipment machines and geomaterials is critical. This paper investigates the virtual analysis of force-driven maneuvers of a wheel loader (WL) within a co- simulation framework. This framework has been developed integrating the operators' model of the WL and its interaction with the power source model, i.e., the drive train, the hydraulics, and the material. It includes trajectory prediction using optimal control and control strategies to follow computed trajectories. The results show that the co-simulation model aligns well with measurement data validating the model's accuracy in different types of operators driving. The results are very useful for engineers in product development to improve WL design and controls. The successful validation of the framework also paves the way for future research to enhance the virtual simulation techniques to optimize WL performances with different types of operators.
Keyword:
Operator model
Discrete Element Method (DEM)
High Fidelity model
Multi body simulation (MBS)
Trajectory prediction
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期刊
IF:
11.5
论文数:
6.3K
被引数:
4.2W
机构
引用论文
Field test of neural-network based automatic bucket-filling algorithm for wheel-loaders基于神经网络的轮式装载机铲斗自动填充算法的现场测试
Co-Simulation Platform for Simulating Heavy Mobile Machinery With Hydraulic Actua;
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IEEE ACCESS
IF3.6

