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On-Line Prediction of Resistant Force During Soil-Tool Interaction.
- Source :
-
Journal of Dynamic Systems, Measurement, & Control . Aug2023, Vol. 145 Issue 8, p1-8. 8p. - Publication Year :
- 2023
-
Abstract
- For off-road vehicles such as excavators and wheel loaders, a large portion of energy is consumed to overcome the soil resistant force in the digging process. For optimal control of the digging tool, a high-fidelity model of the soil-tool interaction force is important to reduce energy consumption. In this paper, an on-line soil resistant force prediction method is proposed. In this method, a hybrid model, which combines a physical model and a data-driven model, is used for the force prediction. In addition, the parameters of the hybrid model can be updated on-line based on real-time data. Comparisons with experimental data demonstrate that the proposed prediction method has an average error of around 12.7%. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00220434
- Volume :
- 145
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Journal of Dynamic Systems, Measurement, & Control
- Publication Type :
- Academic Journal
- Accession number :
- 169934921
- Full Text :
- https://doi.org/10.1115/1.4062513