Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle

This paper presents the development of unmanned marine robotic control modelling and control synthesis using a coupled multivariable underactuated nonlinear adaptive U-model approach. The proposed controller was developed using thru an open source robot operating system (ROS) platform. The new adapt...

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Main Authors: Hussain, N.A.A., Ali, S.S.A., Ridao, P., Cieslak, P., 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-s2.0-85097383471&doi=10.1109%2fACCESS.2020.3037122&partnerID=40&md5=04a558ce36cf433d508747a0f3909770
http://eprints.utp.edu.my/23321/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.233212021-08-19T07:25:34Z Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle Hussain, N.A.A. Ali, S.S.A. Ridao, P. Cieslak, P. Al-Saggaf, U.M. This paper presents the development of unmanned marine robotic control modelling and control synthesis using a coupled multivariable underactuated nonlinear adaptive U-model approach. The proposed controller was developed using thru an open source robot operating system (ROS) platform. The new adaptive coupled U-model based internal model control (IMC) node was successfully developed and tested. The proposed controller demonstrated the simplicity of the control synthesis process and the implementation of the mathematical algorithm in real-time. The controller was compared with the proven existing GIRONA 500 UUV for real-time performance. The ROS environment provides fast and reliable controller design and development compared to conventional software architecture. Simulation and real-time experiment were conducted using ROS via the GIRONA 500 UUV platform and compared with a PID mission controller. A new ROS node of nonlinear adaptive U-model based IMC was developed using ROS. The results showed good control signal convergence and tracking performance between the plant or system model with the proposed method. © 2013 IEEE. Institute of Electrical and Electronics Engineers Inc. 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097383471&doi=10.1109%2fACCESS.2020.3037122&partnerID=40&md5=04a558ce36cf433d508747a0f3909770 Hussain, N.A.A. and Ali, S.S.A. and Ridao, P. and Cieslak, P. and Al-Saggaf, U.M. (2020) Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle. IEEE Access, 8 . pp. 205685-205695. http://eprints.utp.edu.my/23321/
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 development of unmanned marine robotic control modelling and control synthesis using a coupled multivariable underactuated nonlinear adaptive U-model approach. The proposed controller was developed using thru an open source robot operating system (ROS) platform. The new adaptive coupled U-model based internal model control (IMC) node was successfully developed and tested. The proposed controller demonstrated the simplicity of the control synthesis process and the implementation of the mathematical algorithm in real-time. The controller was compared with the proven existing GIRONA 500 UUV for real-time performance. The ROS environment provides fast and reliable controller design and development compared to conventional software architecture. Simulation and real-time experiment were conducted using ROS via the GIRONA 500 UUV platform and compared with a PID mission controller. A new ROS node of nonlinear adaptive U-model based IMC was developed using ROS. The results showed good control signal convergence and tracking performance between the plant or system model with the proposed method. © 2013 IEEE.
format Article
author Hussain, N.A.A.
Ali, S.S.A.
Ridao, P.
Cieslak, P.
Al-Saggaf, U.M.
spellingShingle Hussain, N.A.A.
Ali, S.S.A.
Ridao, P.
Cieslak, P.
Al-Saggaf, U.M.
Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle
author_facet Hussain, N.A.A.
Ali, S.S.A.
Ridao, P.
Cieslak, P.
Al-Saggaf, U.M.
author_sort Hussain, N.A.A.
title Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle
title_short Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle
title_full Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle
title_fullStr Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle
title_full_unstemmed Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle
title_sort implementation of nonlinear adaptive u-model control synthesis using a robot operating system for an unmanned underwater vehicle
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097383471&doi=10.1109%2fACCESS.2020.3037122&partnerID=40&md5=04a558ce36cf433d508747a0f3909770
http://eprints.utp.edu.my/23321/
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