Open Access

Downloads

Download data is not yet available.

Abstract

Controlling the unmanned surface vehicles to follow the object or define trajectory have many important applications in the field as military, survey quality environment so this problem has been much research on the world. This report represents the method to control the unmanned surface vehicles which use thruster with coupling follow square or zig-zag trajectories using the Line of Sight (LOS) algorithm combined with the Backstepping Controller. The system consists of three main blocks, Guidance - Control - Ship. Guidance will help to select waypoints to create the trajectory the use the LOS algorithm with lookahead distance to adjust and calculate the desired heading angle ψ. Control with the Backstepping algorithm will calculate the force and moment to apply to the dynamic model of the Ship. The position and heading angle of the vehicles will be feedback to the two Guidance-Control blocks for calculation and updating. The effectiveness of the algorithm will be presented in simulation results with MATLAB / SIMULINK



Author's Affiliation
Article Details

Issue: Vol 20 No K5 (2017)
Page No.: 64-72
Published: Aug 31, 2017
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v20iK5.1161

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Tran, H., Pham, T., & Vo, B. (2017). A study on tracking controller design for unmanned surface vehicles using magnetic coupling thruster. Science and Technology Development Journal, 20(K5), 64-72. https://doi.org/https://doi.org/10.32508/stdj.v20iK5.1161

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 1992 times
Download PDF   = 1734 times
Total   = 1734 times

Most read articles by the same author(s)