Design and Control of an Omnidirectional Mobile Wall-Climbing Robot

Omnidirectional mobile wall-climbing robots have better motion performance than traditional wall-climbing robots. However, there are still challenges in designing and controlling omnidirectional mobile wall-climbing robots, which can attach to non-ferromagnetic surfaces. In this paper, we design a n...

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Autores principales: Zhengyu Zhong, Ming Xu, Junhao Xiao, Huimin Lu
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:90cc5244a6a64090a91c1385fe9000532021-11-25T16:43:36ZDesign and Control of an Omnidirectional Mobile Wall-Climbing Robot10.3390/app1122110652076-3417https://doaj.org/article/90cc5244a6a64090a91c1385fe9000532021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/11065https://doaj.org/toc/2076-3417Omnidirectional mobile wall-climbing robots have better motion performance than traditional wall-climbing robots. However, there are still challenges in designing and controlling omnidirectional mobile wall-climbing robots, which can attach to non-ferromagnetic surfaces. In this paper, we design a novel wall-climbing robot, establish the robot’s dynamics model, and propose a nonlinear model predictive control (NMPC)-based trajectory tracking control algorithm. Compared against state-of-the-art, the contribution is threefold: First, the combination of three-wheeled omnidirectional locomotion and non-contact negative pressure air chamber adhesion achieves omnidirectional locomotion on non-ferromagnetic vertical surfaces. Second, the critical slip state has been employed as an acceleration constraint condition, which could improve the maximum linear acceleration and the angular acceleration by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>164.71</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>22.07</mn><mo>%</mo></mrow></semantics></math></inline-formula> on average, respectively. Last, an NMPC-based trajectory tracking control algorithm is proposed. According to the simulation experiment results, the tracking accuracy is higher than the traditional PID controller.Zhengyu ZhongMing XuJunhao XiaoHuimin LuMDPI AGarticleomnidirectional mobile robotwall-climbing robotcritical slip statenonlinear model predictive controltrajectory trackingTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 11065, p 11065 (2021)
institution DOAJ
collection DOAJ
language EN
topic omnidirectional mobile robot
wall-climbing robot
critical slip state
nonlinear model predictive control
trajectory tracking
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle omnidirectional mobile robot
wall-climbing robot
critical slip state
nonlinear model predictive control
trajectory tracking
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Zhengyu Zhong
Ming Xu
Junhao Xiao
Huimin Lu
Design and Control of an Omnidirectional Mobile Wall-Climbing Robot
description Omnidirectional mobile wall-climbing robots have better motion performance than traditional wall-climbing robots. However, there are still challenges in designing and controlling omnidirectional mobile wall-climbing robots, which can attach to non-ferromagnetic surfaces. In this paper, we design a novel wall-climbing robot, establish the robot’s dynamics model, and propose a nonlinear model predictive control (NMPC)-based trajectory tracking control algorithm. Compared against state-of-the-art, the contribution is threefold: First, the combination of three-wheeled omnidirectional locomotion and non-contact negative pressure air chamber adhesion achieves omnidirectional locomotion on non-ferromagnetic vertical surfaces. Second, the critical slip state has been employed as an acceleration constraint condition, which could improve the maximum linear acceleration and the angular acceleration by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>164.71</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>22.07</mn><mo>%</mo></mrow></semantics></math></inline-formula> on average, respectively. Last, an NMPC-based trajectory tracking control algorithm is proposed. According to the simulation experiment results, the tracking accuracy is higher than the traditional PID controller.
format article
author Zhengyu Zhong
Ming Xu
Junhao Xiao
Huimin Lu
author_facet Zhengyu Zhong
Ming Xu
Junhao Xiao
Huimin Lu
author_sort Zhengyu Zhong
title Design and Control of an Omnidirectional Mobile Wall-Climbing Robot
title_short Design and Control of an Omnidirectional Mobile Wall-Climbing Robot
title_full Design and Control of an Omnidirectional Mobile Wall-Climbing Robot
title_fullStr Design and Control of an Omnidirectional Mobile Wall-Climbing Robot
title_full_unstemmed Design and Control of an Omnidirectional Mobile Wall-Climbing Robot
title_sort design and control of an omnidirectional mobile wall-climbing robot
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/90cc5244a6a64090a91c1385fe900053
work_keys_str_mv AT zhengyuzhong designandcontrolofanomnidirectionalmobilewallclimbingrobot
AT mingxu designandcontrolofanomnidirectionalmobilewallclimbingrobot
AT junhaoxiao designandcontrolofanomnidirectionalmobilewallclimbingrobot
AT huiminlu designandcontrolofanomnidirectionalmobilewallclimbingrobot
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