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

Title:
Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle
Source:
Ieee Access, 2020, vol. 8, p. 205685-205695 ; Articles publicats (D-ATC) ; Hussain, Nur Afande Ali Ali, Syed Saad Azhar Ridao Rodríguez, Pere Cieśląk, Patryk Al-Saggaf, Ubaid 2020 Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle Ieee Access 8 205685 205695
Publication Year:
2020
Collection:
Universitat de Girona: DUGiDocs (UdG Digital Repository)
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
11 p.; application/pdf
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/issn/2169-3536; http://hdl.handle.net/10256/19079
Rights:
Reconeixement 4.0 Internacional ; http://creativecommons.org/licenses/by/4.0 ; info:eu-repo/semantics/openAccess
Accession Number:
edsbas.1F7BAAFF
Database:
BASE

Weitere Informationen

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 ; This research was supported by the Yayasan Universiti Teknologi Petronas-Fundamental Research Grant-Petroleum Resource Fund (YUTP-FRG) funded by PRF under the grant 0015LC0-235, Universiti Teknologi PETRONAS, Malaysia and King Abdulaziz University, Jeddah, Saudi Arabia under the grant 015ME0-066