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: Hussain, N.A.A., Ali, S.S.A., Ovinis, M., Arshad, M.R., Al-Saggaf, U.M.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078081976&doi=10.1109%2fACCESS.2019.2961700&partnerID=40&md5=d7c97ea979a3a777183667ed71d00971
http://eprints.utp.edu.my/23330/
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spelling my.utp.eprints.233302021-08-19T07:25:23Z Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics Hussain, N.A.A. Ali, S.S.A. Ovinis, M. Arshad, M.R. Al-Saggaf, U.M. 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. © 2013 IEEE. Institute of Electrical and Electronics Engineers Inc. 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078081976&doi=10.1109%2fACCESS.2019.2961700&partnerID=40&md5=d7c97ea979a3a777183667ed71d00971 Hussain, N.A.A. and Ali, S.S.A. and Ovinis, M. and Arshad, M.R. and Al-Saggaf, U.M. (2020) Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics. IEEE Access, 8 . pp. 1851-1865. http://eprints.utp.edu.my/23330/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
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. © 2013 IEEE.
format Article
author Hussain, N.A.A.
Ali, S.S.A.
Ovinis, M.
Arshad, M.R.
Al-Saggaf, U.M.
spellingShingle Hussain, N.A.A.
Ali, S.S.A.
Ovinis, M.
Arshad, M.R.
Al-Saggaf, U.M.
Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics
author_facet Hussain, N.A.A.
Ali, S.S.A.
Ovinis, M.
Arshad, M.R.
Al-Saggaf, U.M.
author_sort Hussain, N.A.A.
title 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_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_sort underactuated coupled nonlinear adaptive control synthesis using u-model for multivariable unmanned marine robotics
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078081976&doi=10.1109%2fACCESS.2019.2961700&partnerID=40&md5=d7c97ea979a3a777183667ed71d00971
http://eprints.utp.edu.my/23330/
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score 13.211869