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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MDPI AG
2021
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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) |
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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 |
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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 |
_version_ |
1718413031952613376 |