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Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment

Wheel-legged robots have fast and stable motion characteristics on flat roads, but there are the problems of poor balance ability and low movement level in special terrains such as rough roads. In this paper, a new type of wheel-legged robot with parallel four-bar mechanism is proposed, and the line...

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Autores principales: Guo, Tiezheng, Liu, Jinhui, Liang, Haonan, Zhang, Yitong, Chen, Wei, Xia, Ximing, Wang, Meiqing, Wang, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755738/
https://www.ncbi.nlm.nih.gov/pubmed/36531915
http://dx.doi.org/10.3389/fnbot.2022.1066714
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author Guo, Tiezheng
Liu, Jinhui
Liang, Haonan
Zhang, Yitong
Chen, Wei
Xia, Ximing
Wang, Meiqing
Wang, Zhiming
author_facet Guo, Tiezheng
Liu, Jinhui
Liang, Haonan
Zhang, Yitong
Chen, Wei
Xia, Ximing
Wang, Meiqing
Wang, Zhiming
author_sort Guo, Tiezheng
collection PubMed
description Wheel-legged robots have fast and stable motion characteristics on flat roads, but there are the problems of poor balance ability and low movement level in special terrains such as rough roads. In this paper, a new type of wheel-legged robot with parallel four-bar mechanism is proposed, and the linear quadratic regulator (LQR) controller and fuzzy proportion differentiation (PD) jumping controller are designed and developed to achieve stable motion so that the robot has the ability to jump over obstacles and adapt to rough terrain. The amount of energy released by the parallel four-bar linkage mechanism changes with the change of the link angle, and the height of the jump trajectory changes accordingly, which improves the robot’s ability to overcome obstacles facing vertical obstacles. Simulations and real scene tests are performed in different terrain environments to verify obstacle crossing capabilities. The simulation results show that, in the pothole terrain, the maximum height error of the two hip joint motors is 2 mm for the obstacle surmounting method of the adaptive retractable wheel-legs; in the process of single leg obstacle surmounting, the maximum height error of the hip joint motors is only 6.6 mm. The comparison of simulation data and real scene experimental results shows that the robot has better robustness in moving under complex terrains.
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spelling pubmed-97557382022-12-17 Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment Guo, Tiezheng Liu, Jinhui Liang, Haonan Zhang, Yitong Chen, Wei Xia, Ximing Wang, Meiqing Wang, Zhiming Front Neurorobot Neuroscience Wheel-legged robots have fast and stable motion characteristics on flat roads, but there are the problems of poor balance ability and low movement level in special terrains such as rough roads. In this paper, a new type of wheel-legged robot with parallel four-bar mechanism is proposed, and the linear quadratic regulator (LQR) controller and fuzzy proportion differentiation (PD) jumping controller are designed and developed to achieve stable motion so that the robot has the ability to jump over obstacles and adapt to rough terrain. The amount of energy released by the parallel four-bar linkage mechanism changes with the change of the link angle, and the height of the jump trajectory changes accordingly, which improves the robot’s ability to overcome obstacles facing vertical obstacles. Simulations and real scene tests are performed in different terrain environments to verify obstacle crossing capabilities. The simulation results show that, in the pothole terrain, the maximum height error of the two hip joint motors is 2 mm for the obstacle surmounting method of the adaptive retractable wheel-legs; in the process of single leg obstacle surmounting, the maximum height error of the hip joint motors is only 6.6 mm. The comparison of simulation data and real scene experimental results shows that the robot has better robustness in moving under complex terrains. Frontiers Media S.A. 2022-12-02 /pmc/articles/PMC9755738/ /pubmed/36531915 http://dx.doi.org/10.3389/fnbot.2022.1066714 Text en Copyright © 2022 Guo, Liu, Liang, Zhang, Chen, Xia, Wang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Guo, Tiezheng
Liu, Jinhui
Liang, Haonan
Zhang, Yitong
Chen, Wei
Xia, Ximing
Wang, Meiqing
Wang, Zhiming
Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment
title Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment
title_full Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment
title_fullStr Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment
title_full_unstemmed Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment
title_short Design and dynamic analysis of jumping wheel-legged robot in complex terrain environment
title_sort design and dynamic analysis of jumping wheel-legged robot in complex terrain environment
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755738/
https://www.ncbi.nlm.nih.gov/pubmed/36531915
http://dx.doi.org/10.3389/fnbot.2022.1066714
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