Cargando…

Modeling and Control of a Wheeled Biped Robot

It is difficult to realize the stable control of a wheeled biped robot (WBR), as it is an underactuated nonlinear system. To improve the balance and dynamic locomotion capabilities of a WBR, a decoupled control framework is proposed. First, the WBR is decoupled into a variable-length wheeled inverte...

Descripción completa

Detalles Bibliográficos
Autores principales: Cui, Zemin, Xin, Yaxian, Liu, Shuyun, Rong, Xuewen, Li, Yibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146894/
https://www.ncbi.nlm.nih.gov/pubmed/35630214
http://dx.doi.org/10.3390/mi13050747
_version_ 1784716674665021440
author Cui, Zemin
Xin, Yaxian
Liu, Shuyun
Rong, Xuewen
Li, Yibin
author_facet Cui, Zemin
Xin, Yaxian
Liu, Shuyun
Rong, Xuewen
Li, Yibin
author_sort Cui, Zemin
collection PubMed
description It is difficult to realize the stable control of a wheeled biped robot (WBR), as it is an underactuated nonlinear system. To improve the balance and dynamic locomotion capabilities of a WBR, a decoupled control framework is proposed. First, the WBR is decoupled into a variable-length wheeled inverted pendulum and a five-link multi-rigid body system. Then, for the above two simplified models, a time-varying linear quadratic regulator and a model predictive controller are designed, respectively. In addition, in order to improve the accuracy of the feedback information of the robot, the Kalman filter is used to optimally estimate the system state. The control framework can enable the WBR to realize changing height, resisting external disturbances, velocity tracking and jumping. The results obtained by simulations and physical experiments verify the effectiveness of the framework.
format Online
Article
Text
id pubmed-9146894
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-91468942022-05-29 Modeling and Control of a Wheeled Biped Robot Cui, Zemin Xin, Yaxian Liu, Shuyun Rong, Xuewen Li, Yibin Micromachines (Basel) Article It is difficult to realize the stable control of a wheeled biped robot (WBR), as it is an underactuated nonlinear system. To improve the balance and dynamic locomotion capabilities of a WBR, a decoupled control framework is proposed. First, the WBR is decoupled into a variable-length wheeled inverted pendulum and a five-link multi-rigid body system. Then, for the above two simplified models, a time-varying linear quadratic regulator and a model predictive controller are designed, respectively. In addition, in order to improve the accuracy of the feedback information of the robot, the Kalman filter is used to optimally estimate the system state. The control framework can enable the WBR to realize changing height, resisting external disturbances, velocity tracking and jumping. The results obtained by simulations and physical experiments verify the effectiveness of the framework. MDPI 2022-05-08 /pmc/articles/PMC9146894/ /pubmed/35630214 http://dx.doi.org/10.3390/mi13050747 Text en © 2022 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 Article
Cui, Zemin
Xin, Yaxian
Liu, Shuyun
Rong, Xuewen
Li, Yibin
Modeling and Control of a Wheeled Biped Robot
title Modeling and Control of a Wheeled Biped Robot
title_full Modeling and Control of a Wheeled Biped Robot
title_fullStr Modeling and Control of a Wheeled Biped Robot
title_full_unstemmed Modeling and Control of a Wheeled Biped Robot
title_short Modeling and Control of a Wheeled Biped Robot
title_sort modeling and control of a wheeled biped robot
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146894/
https://www.ncbi.nlm.nih.gov/pubmed/35630214
http://dx.doi.org/10.3390/mi13050747
work_keys_str_mv AT cuizemin modelingandcontrolofawheeledbipedrobot
AT xinyaxian modelingandcontrolofawheeledbipedrobot
AT liushuyun modelingandcontrolofawheeledbipedrobot
AT rongxuewen modelingandcontrolofawheeledbipedrobot
AT liyibin modelingandcontrolofawheeledbipedrobot