Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics

This paper presents the control modelling and synthesis using a coupled multivariable under-actuated nonlinear adaptive U-model approach for an unmanned marine robotic platform. A nonlinear marine robotics model based on the dynamic equation using the Newtonian method and derivation with respect to...

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Main Authors: Nur Afande Ali Hussain, Syed Saad Azhar Ali, Mark Ovinis, Mohd Rizal Arshad, Ubaid M. Al-Saggaf
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8939419/
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author Nur Afande Ali Hussain
Syed Saad Azhar Ali
Mark Ovinis
Mohd Rizal Arshad
Ubaid M. Al-Saggaf
author_facet Nur Afande Ali Hussain
Syed Saad Azhar Ali
Mark Ovinis
Mohd Rizal Arshad
Ubaid M. Al-Saggaf
author_sort Nur Afande Ali Hussain
collection DOAJ
description This paper presents the control modelling and synthesis using a coupled multivariable under-actuated nonlinear adaptive U-model approach for an unmanned marine robotic platform. A nonlinear marine robotics model based on the dynamic equation using the Newtonian method and derivation with respect to the kinematics equations and rigid-body mass matrixes are explained. This nonlinear marine robotics model represents the underwater thruster dynamics, marine robotics dynamics and kinematics related to the earth-fixed frame. Coupled multivariable nonlinear adaptive control synthesis using a U-model approach for the Remotely Operated Vehicle (ROV) and Unmanned Surface Vessel (USV) represent an unmanned marine robotics application. A comparison is presented for the proposed nonlinear control approach between the U-model control approach with nonlinear Fuzzy Logic Control and Sliding Mode Control for the ROV and USV platforms. The results show minimum mean square error values and tracking performance between the plant or system model with the proposed method. Lastly, robustness and stability analysis for the proposed U-Model nonlinear control approach are presented by implementing an adaptive learning rate value.
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spelling doaj.art-fc1cf7dd6df144bdb9177ee57495c7752022-12-21T22:57:05ZengIEEEIEEE Access2169-35362020-01-0181851186510.1109/ACCESS.2019.29617008939419Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine RoboticsNur Afande Ali Hussain0https://orcid.org/0000-0001-5813-8377Syed Saad Azhar Ali1https://orcid.org/0000-0002-5615-4629Mark Ovinis2https://orcid.org/0000-0002-2451-6410Mohd Rizal Arshad3https://orcid.org/0000-0003-1993-093XUbaid M. Al-Saggaf4https://orcid.org/0000-0002-2925-5184Department of Electrical and Electronic Engineering, Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Seri Iskandar, MalaysiaDepartment of Electrical and Electronic Engineering, Centre for Intelligent Signal and Imaging Research (CISIR), Universiti Teknologi PETRONAS, Seri Iskandar, MalaysiaDepartment of Mechanical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, MalaysiaSchool of Electrical and Electronic Engineering, Universiti Sains Malaysia Engineering Campus, Nibong Tebal, MalaysiaCenter of Excellence in Intelligent Engineering Systems, King Abdulaziz University, Jeddah, Saudi ArabiaThis paper presents the control modelling and synthesis using a coupled multivariable under-actuated nonlinear adaptive U-model approach for an unmanned marine robotic platform. A nonlinear marine robotics model based on the dynamic equation using the Newtonian method and derivation with respect to the kinematics equations and rigid-body mass matrixes are explained. This nonlinear marine robotics model represents the underwater thruster dynamics, marine robotics dynamics and kinematics related to the earth-fixed frame. Coupled multivariable nonlinear adaptive control synthesis using a U-model approach for the Remotely Operated Vehicle (ROV) and Unmanned Surface Vessel (USV) represent an unmanned marine robotics application. A comparison is presented for the proposed nonlinear control approach between the U-model control approach with nonlinear Fuzzy Logic Control and Sliding Mode Control for the ROV and USV platforms. The results show minimum mean square error values and tracking performance between the plant or system model with the proposed method. Lastly, robustness and stability analysis for the proposed U-Model nonlinear control approach are presented by implementing an adaptive learning rate value.https://ieeexplore.ieee.org/document/8939419/Adaptive controlnonlinearROVunderactuatedunmanned marine roboticsUSV
spellingShingle Nur Afande Ali Hussain
Syed Saad Azhar Ali
Mark Ovinis
Mohd Rizal Arshad
Ubaid M. Al-Saggaf
Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics
IEEE Access
Adaptive control
nonlinear
ROV
underactuated
unmanned marine robotics
USV
title Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics
title_full Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics
title_fullStr Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics
title_full_unstemmed Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics
title_short Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics
title_sort underactuated coupled nonlinear adaptive control synthesis using u model for multivariable unmanned marine robotics
topic Adaptive control
nonlinear
ROV
underactuated
unmanned marine robotics
USV
url https://ieeexplore.ieee.org/document/8939419/
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AT markovinis underactuatedcouplednonlinearadaptivecontrolsynthesisusingumodelformultivariableunmannedmarinerobotics
AT mohdrizalarshad underactuatedcouplednonlinearadaptivecontrolsynthesisusingumodelformultivariableunmannedmarinerobotics
AT ubaidmalsaggaf underactuatedcouplednonlinearadaptivecontrolsynthesisusingumodelformultivariableunmannedmarinerobotics