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
https://doi.org/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/).

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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
978-94-6252-761-4
ISSN
1951-6851
DOI
https://doi.org/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  - https://doi.org/10.2991/masta-19.2019.34
ID  - Wang2019/07
ER  -