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

Year: 2025

Type: conference-paper

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.

Source: International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS)

DOI: 10.5220/0013080500003941

Authors: Théo Tuerlinckx, Sam Weckx, Steven Robyns, Jeroen M. De Kooning

Institutions: Flanders Make (Belgium), Ghent University

Language: English

Topic: Dynamics and Control of Mechanical Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funders: Flanders Make, Vlaamse regering