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      Modeling and Experimental Testing of an Unmanned Surface Vehicle with Rudderless Double Thrusters

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          Abstract

          Motion control of unmanned surface vehicles (USVs) is a crucial issue in sailing performance and navigation costs. The actuators of USVs currently available are mostly a combination of thrusters and rudders. The modeling for USVs with rudderless double thrusters is rarely studied. In this paper, the three degrees of freedom (DOFs) dynamic model and propeller thrust model of this kind of USV were derived and combined. The unknown parameters of the propeller thrust model were reduced from six to two. In the three-DOF model, the propulsion of the USV was completely provided by the resultant force generated by double thrusters and the rotational moment was related to the differential thrust. It combined the propeller thrust model to represent the thrust in more detail. We performed a series of tests for a 1.5 m long, 50 kg USV, in order to obtain the model parameters through system identification. Then, the accuracy of the modeling and identification results was verified by experimental testing. Finally, based on the established model and the proportional derivative+line of sight (PD+LOS) control algorithm, the path-following control of the USV was achieved through simulations and experiments. All these demonstrated the validity and practical value of the established model.

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          Most cited references36

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          Unmanned surface vehicles: An overview of developments and challenges

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            Revisiting the Ziegler–Nichols step response method for PID control

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              Line-of-Sight Path Following for Dubins Paths With Adaptive Sideslip Compensation of Drift Forces

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                02 May 2019
                May 2019
                : 19
                : 9
                : 2051
                Affiliations
                [1 ]The State Key Lab of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China; 2016202086@ 123456tju.edu.cn (C.L.); fjduan@ 123456tju.edu.cn (F.D.); wxq1993@ 123456tju.edu.cn (X.W.); lingranbu@ 123456tju.edu.cn (L.B.); zbsun@ 123456tju.edu.cn (Z.S.); guoliang_yang@ 123456tju.edu.cn (G.Y.)
                [2 ]The Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S10 2TN, UK; w.liu@ 123456sheffield.ac.uk
                Author notes
                [* ]Correspondence: jiajiajiang@ 123456tju.edu.cn ; Tel.: +86-152-2289-2283
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-7189-4748
                https://orcid.org/0000-0003-2968-2888
                Article
                sensors-19-02051
                10.3390/s19092051
                6539673
                31052545
                4678dcc9-c0c8-4669-a887-e8574ad1add3
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 13 March 2019
                : 29 April 2019
                Categories
                Article

                Biomedical engineering
                unmanned surface vehicles,rudderless double thrusters,propeller thrust model,three-dof dynamic model,system identification

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