Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

Design and Realization of USV Experiment Platform

Authors
Jing-hui Wang, Xiong-shan Bi, Tao Zhang, Wei Guan
Corresponding Author
Wei Guan
Available Online July 2019.
DOI
10.2991/masta-19.2019.34How to use a DOI?
Keywords
USV, PD controller, Course-keeping
Abstract

An unmanned surface vessel (USV) platform that could realize the ship course-keeping [1] experiment is proposed in this paper. Integrated the high-precision Global Positioning System (GPS) into the USV platform, the high accuracy position and USV dynamics data could be obtained. Then a steering controller for course-keeping control based on the Proportional-Derivative (PD) [2] control strategy is tried to control the USV platform on the given course. Finally, the course-keeping experiment results illustrate that the proposed USV could be utilized as a platform for USV intelligent collision avoidance and other advanced USV controller experiments.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
Series
Advances in Intelligent Systems Research
Publication Date
July 2019
ISBN
10.2991/masta-19.2019.34
ISSN
1951-6851
DOI
10.2991/masta-19.2019.34How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jing-hui Wang
AU  - Xiong-shan Bi
AU  - Tao Zhang
AU  - Wei Guan
PY  - 2019/07
DA  - 2019/07
TI  - Design and Realization of USV Experiment Platform
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 200
EP  - 204
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.34
DO  - 10.2991/masta-19.2019.34
ID  - Wang2019/07
ER  -