System Identification Methodology Preliminary Research on Maneuvering Motion of a New Type Unmanned Surface Vehicle

DOI

10.2991/isrme-15.2015.334How to use a DOI?

Keywords

Unmanned surface vehicle (USV), maneuvering motion, turning test, intelligent autonomous system, system identification, VB.NET language.

Abstract

A new type unmanned surface vehicle (USV) concept is proposed in this paper. Then, the intelligent autonomous vehicle model is designed and fabricated. Self-propelled model test of the new type USV is carried out, which is mainly turning test. According to the turning diameters in various speed and rudder angles under different control voltages and displacements as well as other researchers experience, the turning motion identification objective function of the new type USV is established. The new type USV maneuvering motion system identification program based on chaotic genetic optimum algorithm is compiled via VB.NET language. The equivalent mathematical model of turning motion is obtained after identified calculating. The reliability of this identification methodology is verified after comparing the identified results with test data, which can provide a kind of technical support in lucubrating the maneuvering motion pattern of the new type USV.

Copyright

© 2015, 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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TY  - CONF
AU  - Tianyu Ma
AU  - Taotao Wang
AU  - Jun Li
AU  - Songlin Yang
PY  - 2015/04
DA  - 2015/04
TI  - System Identification Methodology Preliminary Research on Maneuvering Motion of a New Type Unmanned Surface Vehicle
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1645
EP  - 1649
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.334
DO  - 10.2991/isrme-15.2015.334
ID  - Ma2015/04
ER  -