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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Main Authors: Jianjun Zhang, Manjiang Xia, Shasha Li, Zhiqiang Liu, Jinxian Yang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
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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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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