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Modelling of a surface vessel from free running test using low cost sensors


Wang, Y and Chai, S and Nguyen, HD, Modelling of a surface vessel from free running test using low cost sensors, Proceedings of the 3rd International Conference on Control, Automation and Robotics (ICCAR 2017), 24-26 April 2017, Nagoya, Japan, pp. 299-303. ISBN 978-1-5090-6088-7 (2017) [Refereed Conference Paper]

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Copyright 2017 IEEE

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Identification of hydrodynamic coefficients and accessibility of accurate mathematical model to predict actual responses of vessels has practical significance to design computer-based simulators and apply new control algorithms, thus effective methods and proper devices should be investigated to do the modelling. The aim of this study was to estimate hydrodynamic coefficients of a surface vessel from the free running test using an experimental modelling method. Working as the embedded platform and data acquisition card, myRIO was utilized to control the scaled model, namely 'P&O Nedlloyd Hoorn', and measure her motion states using low cost sensors including a Global Positioning System (GPS) receiver, accelerometer, gyroscope and digital compass. System identification was conducted utilizing the processed experimental data with Kalman filter to estimate the hydrodynamic coefficients of a mathematical model in four degree of freedom (DOF) including surge, sway, yaw and roll. The developed mathematical model of the scaled model was validated through the comparison between the experimental data and simulation results. It has demonstrated that the proposed low cost hardware and system identification algorithm is capable of estimating hydrodynamic coefficients of the proposed mathematical model of the scaled surface vessel.

Item Details

Item Type:Refereed Conference Paper
Keywords:myRIO, low cost sensors, free running test, signal processing, system identification
Research Division:Engineering
Research Group:Maritime engineering
Research Field:Marine engineering
Objective Division:Manufacturing
Objective Group:Transport equipment
Objective Field:Automotive equipment
UTAS Author:Wang, Y (Mr Yuanyuan Wang)
UTAS Author:Chai, S (Professor Shuhong Chai)
UTAS Author:Nguyen, HD (Dr Hung Nguyen)
ID Code:121446
Year Published:2017
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-09-28
Last Modified:2018-04-19

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