Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation

The stability assessment of construction vehicles, which are part of a constantly growing market, is of a high importance for safety and working efficiency. For such vehicles, the stability is mainly impacted by the carried payload. In this paper, a state of the art payload estimation method, based on simplified motion equations, is further improved by coupling it with accurate real-time multibody modelling. An example, that allows to reduce the important impact of joints damping on the payload estimation method, is developed and validated in this paper. A reduction of the payload estimation moving window root mean square error from 12.8% to 2.9% is obtained. Finally, the tractor multibody digital-twin is integrated in a real-time system on a physical setup, allowing to process the signals of the tractor and provide an easy to interpret visualization of the vehicle stability to the operator.

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Published
2025-01-01
DOI
https://doi.org/10.5220/0013080500003941
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation

Steven Robyns, Sam Weckx, Théo Tuerlinckx, Jeroen M. De Kooning
Simulation and Modeling Applications
article

Real-Time Digital Twin for Construction Vehicle Stability Assessment and Visualization with Improved Front-Loader Payload Estimation

Steven Robyns, Sam Weckx, Théo Tuerlinckx, Jeroen M. De Kooning
article en

Abstract

The stability assessment of construction vehicles, which are part of a constantly growing market, is of a high importance for safety and working efficiency. For such vehicles, the stability is mainly impacted by the carried payload. In this paper, a state of the art payload estimation method, based on simplified motion equations, is further improved by coupling it with accurate real-time multibody modelling. An example, that allows to reduce the important impact of joints damping on the payload estimation method, is developed and validated in this paper. A reduction of the payload estimation moving window root mean square error from 12.8% to 2.9% is obtained. Finally, the tractor multibody digital-twin is integrated in a real-time system on a physical setup, allowing to process the signals of the tractor and provide an easy to interpret visualization of the vehicle stability to the operator.

Ghent University (BE), Flanders Make (Belgium) (BE)
Flanders Make, Vlaamse regering
Openalex Percentile: Top 93%
Simulation and Modeling Applications
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