Adaptive Visually Servoed Tracking Control for Wheeled Mobile Robot with Uncertain Model Parameters in Complex Environment

This paper investigates the stabilization and trajectory tracking problem of wheeled mobile robot with a ceiling-mounted camera in complex environment. First, an adaptive visual servoing controller is proposed based on the uncalibrated kinematic model due to the complex operation environment. Then,...

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Published inComplexity (New York, N.Y.) Vol. 2020; no. 2020; pp. 1 - 13
Main Authors Ren, Bin, Guo, Fang, Qin, Yi, Wang, Fujie, Yeow, John T. W.
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 04.12.2020
Hindawi
John Wiley & Sons, Inc
Wiley
Subjects
Online AccessGet full text
ISSN1076-2787
1099-0526
DOI10.1155/2020/8836468

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Abstract This paper investigates the stabilization and trajectory tracking problem of wheeled mobile robot with a ceiling-mounted camera in complex environment. First, an adaptive visual servoing controller is proposed based on the uncalibrated kinematic model due to the complex operation environment. Then, an adaptive controller is derived to provide a solution of uncertain dynamic control for a wheeled mobile robot subject to parametric uncertainties. Furthermore, the proposed controllers can be applied to a more general situation where the parallelism requirement between the image plane and operation plane is no more needed. The overparameterization of regressor matrices is avoided by exploring the structure of the camera-robot system, and thus, the computational complexity of the controller can be simplified. The Lyapunov method is employed to testify the stability of a closed-loop system. Finally, simulation results are presented to demonstrate the performance of the suggested control.
AbstractList This paper investigates the stabilization and trajectory tracking problem of wheeled mobile robot with a ceiling-mounted camera in complex environment. First, an adaptive visual servoing controller is proposed based on the uncalibrated kinematic model due to the complex operation environment. Then, an adaptive controller is derived to provide a solution of uncertain dynamic control for a wheeled mobile robot subject to parametric uncertainties. Furthermore, the proposed controllers can be applied to a more general situation where the parallelism requirement between the image plane and operation plane is no more needed. The overparameterization of regressor matrices is avoided by exploring the structure of the camera-robot system, and thus, the computational complexity of the controller can be simplified. The Lyapunov method is employed to testify the stability of a closed-loop system. Finally, simulation results are presented to demonstrate the performance of the suggested control.
Audience Academic
Author Guo, Fang
Qin, Yi
Wang, Fujie
Yeow, John T. W.
Ren, Bin
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CitedBy_id crossref_primary_10_3390_app112210665
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Copyright Copyright © 2020 Fujie Wang et al.
COPYRIGHT 2020 John Wiley & Sons, Inc.
Copyright © 2020 Fujie Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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Snippet This paper investigates the stabilization and trajectory tracking problem of wheeled mobile robot with a ceiling-mounted camera in complex environment. First,...
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SubjectTerms Adaptive control
Analysis
Calibration
Cameras
Complexity
Controllers
Dynamic control
Feedback control
Kinematics
Parameter uncertainty
Robot control
Robots
Sensors
Servocontrol
Simulation methods
Tracking control
Tracking problem
Velocity
Visual control
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Title Adaptive Visually Servoed Tracking Control for Wheeled Mobile Robot with Uncertain Model Parameters in Complex Environment
URI https://search.emarefa.net/detail/BIM-1144776
https://dx.doi.org/10.1155/2020/8836468
https://www.proquest.com/docview/2469678599
https://doaj.org/article/77e2ddd7a18241dcbb785585ffbf5c62
Volume 2020
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