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Modeling and validation of a novel tracked robot via multibody dynamics

Published online by Cambridge University Press:  24 July 2023

Andrea Grazioso ,
Angelo Ugenti ,
Rocco Galati ,
Giacomo Mantriota  and
Giulio Reina Open the ORCID record for Giulio Reina [Opens in a new window]
Andrea Grazioso
Affiliation:
Department of Mechanics, Mathematics, and Management, Politechnic University of Bari, Bari, Italy
Angelo Ugenti
Affiliation:
Department of Mechanics, Mathematics, and Management, Politechnic University of Bari, Bari, Italy
Rocco Galati
Affiliation:
Department of Mechanics, Mathematics, and Management, Politechnic University of Bari, Bari, Italy
Giacomo Mantriota
Affiliation:
Department of Mechanics, Mathematics, and Management, Politechnic University of Bari, Bari, Italy
Giulio Reina*
Affiliation:
Department of Mechanics, Mathematics, and Management, Politechnic University of Bari, Bari, Italy
*
Corresponding author: Giulio Reina; Email: giulio.reina@poliba.it
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Abstract

This article focuses on a multibody model of a new passive articulated suspension tracked robot. The model of the vehicle is developed using the multibody software MSC Adams (acronym for automatic dynamic analysis of mechanical systems) in conjunction with the Adams Tracked Vehicle toolkit. The various subsystems that make up the vehicle assembly are described, with particular attention to the modeling strategies of the swing arms that constitute the suspension system and the characterization of the track belt. The multibody model allows the system performance to be evaluated in advance for fine-tuning of the design parameters and using different configurations, for example, with active and locked suspension. Efforts are also presented to validate the multibody twin against the real prototype, showing a good agreement with field experiments. Once validated, the digital twin is used to assess the performance of the innovative suspension system in various challenging environments.

Keywords

multibody modeling and simulationrough-terrain mobile robotselectric unmanned vehiclestracked robotspassive articulated suspension

Information

Type
Research Article
Information
Robotica , Volume 41 , Issue 10 , October 2023 , pp. 3211 - 3232
Copyright
© The Author(s), 2023. Published by Cambridge University Press

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