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Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains
Adjusting the roll angle of a rover’s body is a commonly used strategy to improve its traversability over sloped terrains. However, its range of adjustment is often limited, due to constraints imposed by the rover design and geometry factors such as suspension, chassis, size, and suspension travel....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046201/ https://www.ncbi.nlm.nih.gov/pubmed/36975361 http://dx.doi.org/10.3390/biomimetics8010131 |
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author | Lyu, Shipeng Zhang, Wenyao Yao, Chen Zhu, Zheng Jia, Zhenzhong |
author_facet | Lyu, Shipeng Zhang, Wenyao Yao, Chen Zhu, Zheng Jia, Zhenzhong |
author_sort | Lyu, Shipeng |
collection | PubMed |
description | Adjusting the roll angle of a rover’s body is a commonly used strategy to improve its traversability over sloped terrains. However, its range of adjustment is often limited, due to constraints imposed by the rover design and geometry factors such as suspension, chassis, size, and suspension travel. In order to improve the rover’s traversability under these constraints, this paper proposes a reconfigurable rover design with a two-level (sliding and rolling) mechanism to adjust the body’s roll angle. Specifically, the rolling mechanism is a bionic structure, akin to the human ankle joint which can change the contact pose between the wheel and the terrain. This novel adjustment mechanism can modulate the wheel–terrain contact pose, center-of-mass projection over the supporting polygon, wheel load, and the rover driving mode. Combining the wheel–load model and terramechanics-based wheel–terrain interaction model, we develop an integrated model to describe the system dynamics, especially the relationship between rover pose and wheel slippage parameters. Using this model, we develop an associated attitude control strategy to calculate the desired rover pose using particle swarm algorithm while considering the slip rate and angle constraints. We then adjust the sliding and rolling servo angles accordingly for slope traversing operations. To evaluate the proposed design and control strategies, we conduct extensive simulation and experimental studies. The results indicate that our proposed rover design and associated control strategy can double the maximum slope angles that the rover can negotiate, resulting in significantly improved traversability over soft sloped terrains. |
format | Online Article Text |
id | pubmed-10046201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100462012023-03-29 Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains Lyu, Shipeng Zhang, Wenyao Yao, Chen Zhu, Zheng Jia, Zhenzhong Biomimetics (Basel) Essay Adjusting the roll angle of a rover’s body is a commonly used strategy to improve its traversability over sloped terrains. However, its range of adjustment is often limited, due to constraints imposed by the rover design and geometry factors such as suspension, chassis, size, and suspension travel. In order to improve the rover’s traversability under these constraints, this paper proposes a reconfigurable rover design with a two-level (sliding and rolling) mechanism to adjust the body’s roll angle. Specifically, the rolling mechanism is a bionic structure, akin to the human ankle joint which can change the contact pose between the wheel and the terrain. This novel adjustment mechanism can modulate the wheel–terrain contact pose, center-of-mass projection over the supporting polygon, wheel load, and the rover driving mode. Combining the wheel–load model and terramechanics-based wheel–terrain interaction model, we develop an integrated model to describe the system dynamics, especially the relationship between rover pose and wheel slippage parameters. Using this model, we develop an associated attitude control strategy to calculate the desired rover pose using particle swarm algorithm while considering the slip rate and angle constraints. We then adjust the sliding and rolling servo angles accordingly for slope traversing operations. To evaluate the proposed design and control strategies, we conduct extensive simulation and experimental studies. The results indicate that our proposed rover design and associated control strategy can double the maximum slope angles that the rover can negotiate, resulting in significantly improved traversability over soft sloped terrains. MDPI 2023-03-22 /pmc/articles/PMC10046201/ /pubmed/36975361 http://dx.doi.org/10.3390/biomimetics8010131 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Essay Lyu, Shipeng Zhang, Wenyao Yao, Chen Zhu, Zheng Jia, Zhenzhong Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains |
title | Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains |
title_full | Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains |
title_fullStr | Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains |
title_full_unstemmed | Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains |
title_short | Modeling and Analysis of a Reconfigurable Rover for Improved Traversing over Soft Sloped Terrains |
title_sort | modeling and analysis of a reconfigurable rover for improved traversing over soft sloped terrains |
topic | Essay |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046201/ https://www.ncbi.nlm.nih.gov/pubmed/36975361 http://dx.doi.org/10.3390/biomimetics8010131 |
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