The Adaptive Bilateral Control of Underwater Manipulator Teleoperation System with Uncertain Parameters and External Disturbance
A novel self-adaptive bilateral control strategy is introduced to manage uncertainties inherent in the teleoperation of an underwater manipulator system effectively. In response to uncertainties stemming from both the mathematical model and external disturbances, our approach offers innovative solut...
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MDPI AG
2024-03-01
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Online Access: | https://www.mdpi.com/2079-9292/13/6/1122 |
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author | Jianjun Zhang Manjiang Xia Shasha Li Zhiqiang Liu Jinxian Yang |
author_facet | Jianjun Zhang Manjiang Xia Shasha Li Zhiqiang Liu Jinxian Yang |
author_sort | Jianjun Zhang |
collection | DOAJ |
description | A novel self-adaptive bilateral control strategy is introduced to manage uncertainties inherent in the teleoperation of an underwater manipulator system effectively. In response to uncertainties stemming from both the mathematical model and external disturbances, our approach offers innovative solutions. Firstly, to address uncertainties in the master model parameters, we propose a reference adaptive impedance control based on a nominal model. This control strategy dynamically adjusts the reference position of the desired model, leveraging adaptive control laws to compensate for model uncertainties. Additionally, to tackle uncertainties specific to the slave manipulator, we employ adaptive compensation using radial basis function (RBF) networks. Our unique combination of sliding mode variable structure controllers and robust adaptive controllers aims to mitigate approximation errors, ensuring precise tracking of the master manipulator’s position by the slave manipulator. By employing Lyapunov function analysis, we demonstrate the system’s superior tracking performance and global stability, with assured asymptotic convergence for force–position tracking. Through comprehensive experimentation, our results showcase the exceptional force–position tracking capabilities of the overall control system, even under challenging conditions of model uncertainties and external disturbances. Moreover, our system exhibits remarkable stability, reliability, and robustness, underscoring the effectiveness of our proposed adaptive control approach. |
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institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-04-24T18:21:16Z |
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publisher | MDPI AG |
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series | Electronics |
spelling | doaj.art-682736cb69f84f7babbc4d861a099f922024-03-27T13:35:03ZengMDPI AGElectronics2079-92922024-03-01136112210.3390/electronics13061122The Adaptive Bilateral Control of Underwater Manipulator Teleoperation System with Uncertain Parameters and External DisturbanceJianjun Zhang0Manjiang Xia1Shasha Li2Zhiqiang Liu3Jinxian Yang4School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454099, ChinaSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454099, ChinaSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454099, ChinaSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454099, ChinaSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454099, ChinaA novel self-adaptive bilateral control strategy is introduced to manage uncertainties inherent in the teleoperation of an underwater manipulator system effectively. In response to uncertainties stemming from both the mathematical model and external disturbances, our approach offers innovative solutions. Firstly, to address uncertainties in the master model parameters, we propose a reference adaptive impedance control based on a nominal model. This control strategy dynamically adjusts the reference position of the desired model, leveraging adaptive control laws to compensate for model uncertainties. Additionally, to tackle uncertainties specific to the slave manipulator, we employ adaptive compensation using radial basis function (RBF) networks. Our unique combination of sliding mode variable structure controllers and robust adaptive controllers aims to mitigate approximation errors, ensuring precise tracking of the master manipulator’s position by the slave manipulator. By employing Lyapunov function analysis, we demonstrate the system’s superior tracking performance and global stability, with assured asymptotic convergence for force–position tracking. Through comprehensive experimentation, our results showcase the exceptional force–position tracking capabilities of the overall control system, even under challenging conditions of model uncertainties and external disturbances. Moreover, our system exhibits remarkable stability, reliability, and robustness, underscoring the effectiveness of our proposed adaptive control approach.https://www.mdpi.com/2079-9292/13/6/1122teleoperationimpedance modeladaptive controlforce–position trackingrobustness |
spellingShingle | Jianjun Zhang Manjiang Xia Shasha Li Zhiqiang Liu Jinxian Yang The Adaptive Bilateral Control of Underwater Manipulator Teleoperation System with Uncertain Parameters and External Disturbance Electronics teleoperation impedance model adaptive control force–position tracking robustness |
title | The Adaptive Bilateral Control of Underwater Manipulator Teleoperation System with Uncertain Parameters and External Disturbance |
title_full | The Adaptive Bilateral Control of Underwater Manipulator Teleoperation System with Uncertain Parameters and External Disturbance |
title_fullStr | The Adaptive Bilateral Control of Underwater Manipulator Teleoperation System with Uncertain Parameters and External Disturbance |
title_full_unstemmed | The Adaptive Bilateral Control of Underwater Manipulator Teleoperation System with Uncertain Parameters and External Disturbance |
title_short | The Adaptive Bilateral Control of Underwater Manipulator Teleoperation System with Uncertain Parameters and External Disturbance |
title_sort | adaptive bilateral control of underwater manipulator teleoperation system with uncertain parameters and external disturbance |
topic | teleoperation impedance model adaptive control force–position tracking robustness |
url | https://www.mdpi.com/2079-9292/13/6/1122 |
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